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Author name: SmartMore

Optimizing Business Efficiency and Competitiveness through Production Logistics and Operations Management

In today's competitive business landscape, the importance of efficient production logistics and operations management cannot be overstated. This article delves into the key role and significance of production logistics and operations management in supply chain optimization. By exploring its definition, scope, components, challenges, and future trends, we aim to shed light on how businesses can leverage this discipline to enhance their competitiveness and overall outcomes.

How to Define Production Logistics and Operations Management?

Production logistics and operations management represent the backbone of seamless operations within a supply chain. This multifaceted discipline encompasses a spectrum of critical functions, including the orchestration of production processes, meticulous material management, astute inventory control, and efficient transportation logistics. However, it extends beyond the realm of mere object recognition. Rather, it delves into the realm of comprehending intentions and distinguishing nuances among a plethora of items. A prime example is the ability to discern whether two displayed images share similarities or exhibit distinct characteristics, underscoring the complexity and sophistication inherent in this field.

Role and Objectives in the Supply Chain

Within the intricate tapestry of the supply chain, production logistics and operations management serve as the architects of streamlined processes, custodians of cost savings, and champions of heightened customer satisfaction. This field assumes the formidable responsibility of optimizing supply chain planning, orchestrating precise production scheduling, managing astute material procurement, and so much more. These functions, while seemingly discrete, collectively form the bedrock upon which operational excellence is built.

Leveraging Technology and Tools

The landscape of production logistics and operations management is in the throes of transformation, thanks to cutting-edge technologies. Logistics information systems, advanced production planning software, and state-of-the-art automation equipment have emerged as the catalysts of this evolution. These technological marvels empower organizations with real-time monitoring capabilities, elevate efficiency to unprecedented levels, and drastically curtail error rates, thus conferring an unassailable competitive advantage upon businesses that harness them.

Challenges and Solutions

As with any discipline, production logistics and operations management grapple with its fair share of challenges. These hurdles include the capriciousness of demand, the looming specter of supply chain risks, and the relentless pressure of logistics costs. Yet, within these challenges lie opportunities for innovation and optimization. Best practices such as supply chain visibility, data-driven forecasting, and meticulous inventory optimization stand as potent solutions, capable of surmounting these obstacles and ushering in an era of enhanced operational prowess.

Data-Driven Optimization

At the heart of effective production logistics and operations management lies the quintessential role of data. Data, in its myriad forms, serves as the cornerstone upon which informed decisions are forged. By methodically collecting, analytically dissecting, and strategically leveraging data, businesses can navigate the intricacies of production logistics and operations with unparalleled precision. The result is a dynamic enhancement in production efficiency, heightened responsiveness to market dynamics, and deft decision-making that reflects the evolving landscape.

Establishing Collaborative Partnerships

Collaborative synergy stands as a non-negotiable component of successful production logistics and operations management. Robust partnerships with suppliers, strategic allies, and logistics service providers are more than advantageous; they are imperative. These collaborative endeavors cultivate an ecosystem of supply chain harmony, choreographed coordination, and operational efficiency. The fruits of such partnerships manifest in the form of markedly improved operational outcomes.

Sustainability in Production Logistics and Operations Management

The global shift towards sustainability has cast a compelling spotlight on the practices within production logistics and operations management. Responsible practices are no longer a choice but an imperative. Strategies aimed at minimizing environmental impact, optimizing transportation routes to reduce carbon footprints, and embracing renewable energy sources are integral components of the modern playbook for responsible production logistics and operations management. These measures not only demonstrate corporate social responsibility but also pave the way for long-term viability in an increasingly eco-conscious world.

Numerous success stories abound within the realm of production logistics and operations management. These chronicles of triumph underscore the remarkable efficacy of strategic implementation. From the streamlining of labyrinthine supply chain processes to the substantial reduction of exorbitant transportation costs, these case studies serve as tangible testaments to the transformative power of astute management within this discipline. These are not isolated victories; they are replicable blueprints for businesses aiming to attain operational excellence. SmartMore is professional in providing specific solutions in the realm of production logistics and operation management, using the assistance of advanced technology and self-developed algorithms, which has collaborated with lots of top enterprises and achieved smart goals.

Future Trends and Conclusion

Looking forward, the horizon of production logistics and operations management is marked by dynamic shifts and transformative trends. The inexorable march towards digital transformation, the advent of smart logistics empowered by IoT applications, and the ceaseless quest for innovation form the crucible within which the future of this discipline is being forged. It is imperative that businesses remain agile, adaptive, and receptive to change to stay ahead in this dynamic market.

Collectively, production logistics and operations management stands as the lodestones of supply chain optimization. The journey towards operational excellence is one marked by continuous improvement and relentless technological innovation. We wholeheartedly encourage enterprises to embark on this expedition, exploring the best practices within this field to fortify their competitive prowess and bask in the brilliance of superior business outcomes.

The Significance&Applications of Vision Systems in the Field of Inspection

In today's fast-paced manufacturing landscape, achieving high-quality products and efficient quality control is paramount. The advent of vision systems has brought about a revolutionary change in how industries approach inspection and quality assurance. In this blog post, we will delve into the importance and scope of integrating vision systems into inspection, exploring their fundamental principles, wide-ranging applications, key components, advantages, challenges, deployment strategies, and future prospects.

The Crucial Role of Vision Systems in Inspection

The incorporation of vision systems into inspection processes is a pivotal advancement that cannot be overlooked. In other words, vision systems can be considered as computers that can identify the crucial information and avoid the errors that the human eyes fail to find as best as they can. Vision systems play a critical role in enabling efficient and accurate product inspection and quality control. While humans can naturally discern defects and anomalies in products, replicating this ability in machines has been a challenge. Vision systems, however, bridge this gap and pave the way for a new era of inspection capabilities.

Fundamental Principles of Vision Systems

A profound understanding of the foundational principles that underpin vision systems is essential to appreciate their transformative impact on modern industries. These principles form the bedrock upon which these systems operate, intertwining image acquisition, image processing, and algorithm analysis into a cohesive whole. Images captured by cameras are processed and analyzed to detect and discriminate product defects and issues. The ability of vision systems to process and analyze images in real time enhances their efficiency and accuracy in identifying even the minutest imperfections.

Image Acquisition: Capturing the Visual Essence

The journey begins with image acquisition, where cameras serve as the eyes of the system. Cameras meticulously capture visual data from the environment, rendering intricate details of the subject under scrutiny. This step is pivotal as the quality and precision of acquired images lay the groundwork for subsequent analysis.

Image Processing: Unveiling Patterns and Anomalies

Once images are captured, the process of image processing commences. This involves a series of intricate transformations and enhancements aimed at accentuating pertinent features while minimizing noise and irrelevant information. Filtering, enhancement, and edge detection are a few techniques harnessed to optimize images for subsequent analysis.

Algorithm Analysis: Deciphering the Unseen

At the heart of vision systems lie algorithms, the brilliant minds that interpret and make sense of visual data. These algorithms meticulously dissect processed images, identifying patterns, shapes, textures, and color variations. By employing pattern recognition and machine learning algorithms, the system intelligently categorizes and classifies visual elements, a task that was once solely within the domain of human cognition.

Diverse Applications Across Industries

The application of vision systems extends across diverse industries including manufacturing, healthcare, food, and packaging. These systems' transformative capabilities have ushered in a new era of precision, efficiency, and reliability in the world of inspection and quality assurance. Real-world instances abound where vision systems have revolutionized the way defects are identified, enhancing product quality and safety across multiple sectors.

Manufacturing Marvels: Enhancing Quality Control

In the realm of manufacturing, vision systems emerge as invaluable allies in the pursuit of impeccable quality. They don the role of vigilant inspectors, meticulously scrutinizing products for defects, inconsistencies, and deviations from predefined standards. This meticulous inspection ensures that each item that leaves the production line adheres to stringent quality benchmarks, mitigating the risk of faulty products reaching consumers.

Defect Detection: Illuminating Imperfections

Vision systems in manufacturing excel in defect detection. Their discerning "eyes" identify flaws that often elude human observation. Irregularities as subtle as microscopic cracks, variations in color, or minuscule misalignment are swiftly detected, guaranteeing that only flawless products reach the market.

Precision in Every Pixel: Measurements Perfected

Precision measurement is yet another arena where vision systems flex their capabilities. They replace traditional measurement tools with advanced optical technologies, ensuring accurate measurements with unprecedented speed. Whether it's verifying dimensions, gauging geometrical tolerances, or inspecting intricate patterns, vision systems yield measurements that leave no room for error.

Healthcare Healers: Aiding Diagnostics

Venturing into healthcare, vision systems emerge as crucial contributors to diagnostics and medical imaging. Their exceptional image processing and analysis prowess empowers medical professionals to visualize internal structures with unparalleled clarity. From identifying anomalies in radiology images to guiding surgical procedures with precision, these systems amplify the diagnostic capabilities of healthcare providers.

Nurturing the Food Industry: Safeguarding Integrity

The food industry also reaps the benefits of vision systems' vigilance. Ensuring product integrity and packaging quality takes center stage, minimizing the risk of contaminated or substandard products entering the supply chain. These systems inspect packaging seals, verify label accuracy, and even assess the uniformity of food products, contributing to consumer safety and satisfaction.

Key Components of Vision Systems

Comprising a network of critical components such as cameras, lighting sources, image processing software, and algorithms, vision systems embody a holistic approach to inspection. Each component plays a pivotal role in enhancing system performance and accuracy. Cameras capture high-resolution images, lighting sources optimize visibility, and advanced algorithms decipher complex patterns, culminating in a comprehensive and reliable inspection mechanism.

Advantages and Challenges

The advantages of vision systems are manifold. Their high-speed processing, unparalleled precision, and automation capabilities streamline inspection processes, resulting in reduced error rates and increased productivity. However, challenges persist, including coping with intricate product surfaces, varying lighting conditions, and dynamic environmental changes. Overcoming these challenges requires continuous technological innovation and adaptation.

Deployment and Optimization of Vision Systems

Deploying vision systems necessitates meticulous planning and adherence to best practices. Selecting appropriate hardware components, integrating systems seamlessly, and fine-tuning parameters are pivotal steps. Moreover, the dynamic nature of products and production environments calls for continuous optimization and adjustment of vision systems to ensure consistent performance and accuracy.

Future Prospects

Looking ahead, the future of vision systems in the inspection field appears promising. The integration of deep learning and artificial intelligence promises to elevate inspection capabilities to unprecedented levels. Technological innovation and development will be instrumental in enhancing the performance and applicability of vision systems across industries.

In conclusion, vision systems have emerged as a cornerstone of modern inspection practices. Their ability to replicate and enhance human visual capabilities, combined with their versatility, precision, and potential for innovation, make them an indispensable tool for quality assurance and defect detection. As technology continues to evolve, so too will the role of vision systems in shaping the future of inspection.

Unlocking Efficiency with Data Matrix Code Readers in Diverse Industries

In today's fast-paced and data-driven world, the significance of data matrix code readers cannot be overstated. These powerful tools have become indispensable across diverse industries, playing a crucial role in enhancing productivity, efficiency, and accuracy. In this blog post, we will explore the concept and importance of data matrix code readers, highlighting their extensive applications in various sectors and their role in streamlining workflows effectively.

What is Data Matrix Code?

Data Matrix codes are two-dimensional barcodes consisting of a pattern of black and white cells arranged in a square or rectangular matrix. Unlike traditional one-dimensional barcodes, data matrix codes can store large amounts of information, making them ideal for encoding complex data in a compact format. This inherent advantage enables data matrix codes to encode various data types, such as text, numbers, and even binary data.

Working Principles of Data Matrix Code Readers

Data matrix code readers operate through a sophisticated process that involves several intricate steps. Firstly, the code reader captures an image of the data matrix code using a camera or image sensor. Next, the image is processed to enhance clarity, eliminate noise, and correct any distortions. Advanced decoding algorithms are then employed to interpret the encoded data and extract the relevant information accurately.

Types of Data Matrix Code Reader Devices

Data matrix code readers come in different forms to cater to diverse industry requirements. Handheld code readers offer portability and flexibility, allowing operators to scan codes in various locations. Fixed code readers are integrated into production lines, enabling automated scanning and tracking of products. Mobile code readers, designed for smartphones and tablets, offer on-the-go scanning capabilities for field applications.

Applications of Data Matrix Code Readers

Data matrix code readers find extensive applications across various industries due to their versatility and reliability. In logistics and supply chain management, these readers play a crucial role in inventory tracking, order fulfillment, and warehouse management. In the manufacturing sector, data matrix code readers ensure accurate identification and traceability of components, leading to improved quality control and reduced errors. The pharmaceutical industry relies on data matrix codes for product authentication, serialization, and anti-counterfeiting measures.

Choosing the Right Data Matrix Code Reader

Selecting the most suitable data matrix code reader requires careful consideration of specific application requirements. Factors such as reading distance, decoding speed, interface compatibility, and connectivity options play a crucial role in making an informed decision. Businesses must evaluate their unique needs and match them with the capabilities of various code readers to ensure seamless integration into existing systems.

Future Trends of Data Matrix Code Readers

As technology continues to evolve, data matrix code readers are poised to witness significant advancements. The future holds the promise of even higher decoding precision, faster processing speeds, and enhanced intelligence through the integration of artificial intelligence and machine learning algorithms. Additionally, data matrix code readers are likely to embrace new form factors, such as wearable devices and embedded sensors, further expanding their application possibilities. To learn more advanced data matrix code readers, please visit SmartMoreInside.

Conclusion

Data matrix code readers have revolutionized industries by unlocking unprecedented levels of efficiency, accuracy, and data management. Their ability to encode vast amounts of information in a compact format, coupled with their widespread applicability, makes them an essential tool across diverse sectors. As we look to the future, continuous innovation and technological progress will further drive the capabilities of data matrix code readers, paving the way for new opportunities and applications in the rapidly evolving digital landscape. By embracing these cutting-edge solutions, businesses can harness the full potential of data matrix code readers to optimize their processes, boost productivity, and gain a competitive edge in the global marketplace.

SMore ViMo

SMore ViMo

Smart Industrial Platform

Product Description

The SMore ViMo series products are equipped with intelligent production models for over 1000 segmented industry scenarios, embedded with over 50 tools such as algorithm enhancement, and can provide full stack intelligent capabilities for the entire manufacturing process of the industry. With the help of the SMore ViMo series of industrial products, a cross industry intelligent manufacturing ecosystem can be quickly built. SMore ViMo covers industrial intelligent clouds, deep learning training software, machine vision software, and other industrial products, providing data management, visual solution design, end-to-end running software, and other software to meet the visual needs of industry. The factory can quickly implement the entire process of model training, software integration, and production line deployment without the involvement of professional algorithm personnel, greatly reducing the threshold for the use of intelligent applications in the manufacturing industry and providing strong inclusive and intelligent capabilities for industry.

产品介绍

Product Features

SMore ViMo provides data management, visual solution design, end-to-end running software, and more to meet the visual needs of the industry. The factory can quickly implement the entire process of model training, software integration, and production line deployment without the professional algorithm personnel, greatly reducing the threshold for the use of intelligent applications in the manufacturing industry and providing  intelligent capabilities for industry. The Smore ViMo product matrix currently includes ViMo Cloud, ViMo Deeplearning, and ViMo Studio.

产品功能

Major Advantages

产品亮点—高精度算法

High Precision Algorithm

Built with multiple deep learning algorithms and over a hundred traditional operators, it is a high-precision visual algorithm tailored for the manufacturing industry. The self developed algorithm has ranked among the top in multiple industry projects.

产品亮点—零代码

Zero code/low code

A universal platform for industrial intelligent applications, ready to use out of the box. Non-visual engineers and non-algorithm engineers can also quickly build algorithm modules and train high-precision models by dragging and clicking.

产品亮点—多场景通用

Multi Scenario Universal

Meet the needs of over 1000 segmented application scenarios in multiple industries such as new energy, pan semiconductors, automobiles, consumer electronics, food and healthcare, and flexibly support the design requirements of various difficult industrial visual inspection solutions.

Application Cases

USB Defect Detection for a Well-known Consumer Electronics Device Manufacturer

The project requires a 3-class classification (OK/NG/NG-2) of scratches and dirt on the USB interface. Previously, the client's quality inspection was mainly conducted through manual visual inspection, which resulted in high costs and low detection efficiency. Additionally, the tested products have various defect types, requiring precise defect classification and statistics based on their characteristics. Traditional vision algorithms cannot define standard detection templates for certain defects, necessitating the use of high-precision deep learning algorithms for detection.
Based on SMore ViMo's high-precision algorithm capability, it enables various defect detection with both the accuracy rate and recall rate reaching 98.9%, and the false negative rate below 2%, which empower full automation in the production line, thus leading to low cost, improved product yield and efficient operation.

客户案例1

Defect Detection for Small-sized Lithium-ion Battery Casing in a Leading New Energy Company

The battery quality inspection process of a leading new energy company mainly adopts a combination of automated glue coating and manual visual inspection. The drawback of this approach is its high cost and low production efficiency. Therefore, the customer hopes to further enhance the quality of inspection in terms of unmanned operation, high efficiency, and high accuracy.
We adopt the solution design system of Vi-Studio from SMore ViMo, and utilize a high-precision algorithm to achieve various defect detections, such as leakage glue detection, scatter point detection, and broken glue detection. Vi-Lab operation management system is able to achieve machine vision delivery both swiftly and directly, which makes it convenient for customers to deploy the production line quickly. This also speeds up production space, enabling the cycle time reduction of the photo-calculation-material dispensing action to within 500ms per piece, which can satisfy customers' requirements of time, then boost the automation of production line and smart manufacturing.

客户案例6

Vision Inspection Project of National Key Enterprise Silicon Wafer Character

Previously, this enterprise only adopt a manual sampling inspection method to defect silicon wafer character, which proved to be low-efficient and the results are driven by subjective. During the inspection, the on-site lighting may be dim, resulting in poor image quality. Additionally, the characters being inspected may have certain angles of curvature, requiring precise positioning.
SMore ViMo smart industrial platform is equipped with optical character recognition, defect segmentation, and defect detection modules. It has a 100-million-pixel resolution algorithm capable of processing high-resolution images. It features intelligent semantic matching, which can solve complex search problems in large-scale chips. With dynamic data augmentation and few-shot learning, it accelerates the learning process and handles complex detection tasks, enabling the enterprise to achieve intelligent full inspection of silicon wafers.

客户案例3

OCR for Smartwatches by a Top Global Smartphone Manufacturer

This project involves recognizing characters engraved on metal components of smartwatches. There are three different fonts for the characters, and the watchbands come in three colors: black, white and orange. The imaging conditions are complex, including blurriness, glare, and tilting, among other variations, resulting in a total of 15 different forms. This presents significant challenges for character recognition.
Based on SMore ViMo industrial OCR algorithm, SmartMore has implemented a complex and efficient pre-processing method for characters. This enhances the algorithm's robustness to different environmental conditions, resulting in a character recognition accuracy up to 99.9%. The solution is compatible with various product forms and has been successfully deployed in the fully automated production of six production lines.

客户案例2

OCR Detection for Vibrating Motor Magnet Blocks of a Global Top Mobile Phone Manufacturer

The characters engraved on the metal components of vibrating motors in mobile phones often appear blurry and distorted, and the reflective nature of the metal further complicates the imaging process, making them difficult to recognize. These components are often smaller than the size of a fingernail, and the characters engraved on them are as small as 0.1, making them challenging for human eyes to identify. Additionally, the characters can be oriented in various directions and have different engraving styles, further adding to the difficulty of recognition.

客户案例8

Wireless Charging Coil for a Top Global Smart Terminal Brand Earphones

The client wishes to introduce machine vision technology for visual defect detection in the production process, aiming to improve product quality and reduce repair rates. The project involves detecting over 20 different types of defects, covering various areas and categories. High accuracy is required for the detection process.
Based on the SMore ViMo Intelligent Industrial Platform, SMore has developed a multi-classification detection algorithm that utilizes deep learning techniques to optimize the overall performance. This algorithm achieves pixel-level processing, ensuring precision down to each individual pixel. With a processing speed of 0.2 seconds per piece, it enables 100% coverage of the production line with only 20% of the quality inspection workforce.

客户案例5

Appearance Inspection of Bearings for a Global Fortune 500 German Automotive Component Manufacturer

The manufacturer's bearings have extremely small defects, such as scratches, that are not visible to the naked eye, requiring high accuracy from the algorithm. There are over 20 different types of defects, and their distribution locations are relatively random, making it challenging to locate and identify them.
To address the customer's pain points, SMore adopts the SMore ViMo intelligent industrial platform, along with an optical solution equipped with four types of light sources, hardware configuration of edge computing integrated machine, color camera, and 4K color line-scan camera, to achieve an integrated solution for automotive bearing inspection. The SMore ViMo platform, equipped with high-precision algorithms, can recognize over 23 different types of defects in different product models, such as rust, oil stains, scratches, and so on, thus leading to improved precision and high quality inspection detection rate.

客户案例10

Defect Detection for Small-sized Lithium-ion Battery Cathode Shells in a Leading New Energy Company

The customer's existing quality inspection process for lithium batteries primarily relies on manual self-inspection, resulting in high costs and low production efficiency, with a persistently high rate of missed defects. Therefore, the customer wishes to further enhance quality inspection in terms of automation, efficiency, and accuracy to improve production efficiency, product qualification rate, and environmental standards.
SMore ViMo and Vi-Lab systems are utilized by SmartMore to develop customized visual inspection software for defect detection in the product. The software enables multiple defect detections, achieving a product detection rate of ≥99.9%. The hardware solution is based on a commonly used multi-camera sorting machine in the inspection industry, serving as a labeling machine. The processing speed can reach up to 7200pcs/h. In addition, the platform seamlessly integrates with integrated equipment, and the Vi-Lab operation management system facilitates quick delivery of machine vision projects, allowing customers to deploy production lines rapidly.

客户案例4

Middle Frame Defect Detection of Computer for Global Top Smart Terminal Brand

The middle frame of computer requires the detection of 15 types of defects, including nut installation, water ports, camera foam adhesive, etc. Previously, due to the metal material of the middle frame being prone to reflections and poor image quality, combined with inconsistent detect definitions in the early stage, manual defect detection was time-consuming and had low accuracy, impacting product production efficiency.
Using the Vi-Studio solution design system in the SMore ViMo intelligent industrial platform, SmartMore has refined the classification, detection, and segmentation algorithms into an integrated algorithm model. These algorithms are specifically designed to detect different types of defects, addressing the customer's specific inspection requirements. The algorithms have been enhanced to improve robustness in various environmental conditions, achieving a defect detection rate of ≥99.9%. Additionally, the Vi-Lab operation management system in SMore ViMo enables swift delivery of machine vision projects. From understanding the requirements to deploying the final product, the entire project can be completed within 28 days.

客户案例7

Diode Defect Detection for a Well-known Domestic Power Quality Equipment Manufacturer

In the production process of diodes, there are many defects such as fractures that affect the performance of the diodes. Detecting these surface defects has always been a major challenge for the manufacturing company. Previously, the client used a traditional computer vision algorithm solution, which had a high rate of false negatives and false positives, requiring additional manpower for manual verification, significantly increasing the company's costs.
Based on the segmentation algorithm of SMore ViMo, SmartMore can perform the detection of over 10 types of defects on the product, including fractures, bubbles, shallow edge cracks, and more. The segmentation accuracy of the algorithm has surpassed that of traditional algorithm detection and manual inspection. It can also provide information on the area and location of the defects, achieving a product detection rate of 81% or higher, a false positive rate of 2% or lower, and a false negative rate of 0.01% or lower. This solution helps the customer save over 3 million yuan in costs annually.

客户案例9

Case Studies

Automotive

Electronics

Semiconductor

More Industries

Featured Products

SMore Light3D

SMore Light3D

Product Description

SMore Light3D is based on industrial digital twin platforms' core capabilities and operational experience, it is built upon breakthroughs in fully automated modeling technology and consists of a comprehensive perception center, a data platform integrating OT and IT systems, and a holographic spatiotemporal visualization center. The three-dimensional simulation and visualization platform enables the simulation, evaluation, and optimization of product manufacturing processes. lt enables big data analysis, predictive alerts, and scenario-based inference, providing intelligent products and services encompassing the entire intelligent manufacturing process, offering the capabilities of retrospective traceability, real-time perception, current analysis, and future inference capabilities.

产品介绍

Product Advantages

产品优势—自动化快速建模

Fully Automated Rapid Modeling:

We own the image modeling algorithms with independent intellectual property rights, as well as the industry-leading image processing algorithm team. As a result, we can provide professional solutions for rapid modeling of all kinds of industrial scenarios and equipment and can achieve fast and high-quality automated modeling based on images/videos.

产品优势—产品服务

Establishing Seamless Upstream and Downstream Data Product Services:

With highly scalable services and three-dimensional IoT perception capabilities, we provide a practical solution for the integration, application, display, and analysis of diverse business and data within the digital twin environment.

产品优势—全流程

Coverage of the Entire Production Manufacturing Process:

Covering the full life-cycle management of industrial intelligent manufacturing, including inbound warehousing, production line monitoring, packaging, and outbound, and operational management. Promoting the integration of virtual and real, dynamic and static, and the implementation of comprehensive spatial and elemental digital twin manufacturing scenarios and simulation technology.

产品优势—部署

Efficient Deployment and Launch:

Low threshold, easy to use, balancing efficiency and quality, achieving low-cost delivery.

Applications Cases

Applicable to Different Scenarios Such as Equipment, Production Line, Factory, and Industrial Park

Applications Cases

The Digital Factory of a Global Fortune 500 3C Manufacturing Company

SmartMore has built a digital factory for a global Fortune 500 3C manufacturing company, enabling multi-level visualization and virtual-to-real control of the factory park, workshops, production lines, equipment, and materials. Through process simulation, comprehensive analysis, and reliable forecasting of the production process, a new model of intelligent factory management has been established. This has resulted in a 70% improvement in production efficiency and quality, facilitating capacity expansion.

客户案例

ERC Digital Twin Factory

SmartMore has developed an intelligent, efficient, and collaborative digital twin application for ERC, enabling simulation of plant layout and process coordination. With the implementation of this solution, the overall operational efficiency of equipment has improved by 80% compared to manual methods. The platform also includes a comprehensive 6S safety management system, effectively preventing potential workplace safety hazards and significantly reducing safety risks.

客户案例 拷贝

SMore Data

SMore Data

Product Description

SMore Data, the big data platform developed by SmartMore, is a next-generation platform tailored for manufacturing enterprises. It provides end-to-end data products including data integration, data development, data governance, data assets, data visualization, and secure operations and maintenance, empowering enterprises with comprehensive data lifecycle management.
Based on SmartMore's rich application experience and technical expertise in the industrial domain, SMore Data enables enterprises to establish a comprehensive system for data association. With professional, efficient, secure, and stable end-to-end customized solutions, it helps enterprises achieve connectivity among intelligent manufacturing, services, and users. This enables enterprises to obtain holistic data awareness, adjust operational modes in a timely manner, and make effective and informed decisions.

产品介绍

Major Advantages

产品优势—工业智造

Breaking Industrial Data Silos

Focusing on the field of industrial data platforms, empowering digital innovation and development in the industrial sector. Based on SmartMore's rich industrial intelligent manufacturing business scenarios, we create a comprehensive data asset system, extend digital services, innovate research and development design patterns, and achieve cost reduction, quality improvement, efficiency enhancement, and personalized intelligent production.

产品优势—平台部署

One-stop Platform Deployment

Based on an integrated middle platform design system focusing on data integration, data development, data assets, data governance, data services, and data visualization, we provide a unified one-stop industrial big data service. It offers high adaptability and compatibility by integrating with mainstream data storage and computing platforms in the market.

产品优势—稳定高性能

Secure, Stable, and High-performance

With a decentralized distributed architecture, our platform supports the dynamic expansion of cluster nodes. The core data storage, computation, transmission, and exchange systems are developed in-house, ensuring independent control. We provide secure resource isolation, access control, audit logs, and process control services. Additionally, we support data encryption and multi-replica storage to ensure data security and reliability from multiple dimensions.

产品优势—开箱即用

Data Intelligence, Ready to Use

We closely cater to the needs of industrial digitization scenarios by providing an out-of-the-box, user-friendly and visually intuitive interface. Our platform offers comprehensive industrial data intelligence services, including knowledge base management, model library management, algorithm library management, model pool, and training pool. This significantly reduces the learning curve for industrial big data development.

Core Functions

Data Integration

We provide a stable, efficient, and scalable data synchronization platform that focuses on delivering high-speed and stable data movement and synchronization capabilities across diverse and complex digital networks within enterprises. Our platform is dedicated to enabling seamless data integration among heterogeneous data sources in a fast and reliable manner.

产品构成—数据集成

Data Development

Our platform provides a one-stop, visualized tool development environment based on a configurable concept. It includes modules such as interactive data querying, offline development, real-time development, machine learning, and project management. These modules support developers in quickly implementing end-to-end data processing tasks.

产品构成—数据开发

Data Assets

We manage enterprise data assets and build upon the achievements of data standard management. This allows for the definition, discoverability, comprehensibility, trustworthiness, and accessibility of data assets. Through the efficient implementation of data assetization and business-oriented approaches, we support the value realization of data assets.

产品构成—数据资产

Data Governance

We provide a unified and visualized data service that encompasses data service development, subscription, distribution, invocation, operation, quality, security, and lifecycle management. Based on enterprise data assets, we offer data interfaces to support secure consumption of data assets by external parties.

产品构成—数据管控

Data Visualization

It is a tool platform that utilizes visualization techniques to analyze and display data, and helps non-experts and engineers to easily configure professional-level visual applications through a graphical interface. It caters to various business needs such as large screen displays, alerts, and analysis by providing visual solutions.

产品构成—数据可视化

Security Operation and Maintenance

This center provides functionalities such as task operation and maintenance dashboard, intelligent diagnostics, resource operation and maintenance. It provides multi-dimensional security operation and maintenance control capabilities for enterprise data secruity, including task operations and status, engine management, and resource management.

产品构成—安全运维

Featured Products

ViMo Cloud

ViMo Cloud

Product Description

ViMo Cloud is an AI full-process platform designed for industrial vision applications, providing a one-stop solution that includes project management, data management, scheme design, and model building. Relying on SmartMore's industry-leading self-developed algorithms as its core foundation, ViMo Cloud offers a plug-and-play algorithm toolset that can effectively solve problems such as material tracking, defect location, workpiece counting, and appearance defect detection on production lines. The cloud-based deployment of the platform further reduces the cost of computing power resources, helps realize low-threshold construction of visual models with efficient iteration and rapid deployment, empowers multi-level business scenarios, and accelerates the implementation of industrial AI applications.

产品介绍

Product Features

产品亮点—智能标注

High-precision Algorithms for Manufacturing with 20+ Years of Experience

产品亮点—版本管理

Graphical Interface for Flexible Detection Schemes Adapted to Various Scenarios

产品亮点—搭建界面

Cutting-edge Intelligent Labeling Tool for Annotation Efficiency Improvement

产品亮点—高精度算法

Fine-grained Version Control for Orderly Model Tracing and Reproduction

产品亮点—用户管理

Adaptable User Management and Resource Scheduling for Maximum Collaborative Efficiency

Application Cases

Precision Grinding Surface Defect Detection for Steering Joints at a Global Top 500 Japanese Automotive Parts Manufacturer

The automotive steering knuckle forging process is complex and prone to forging defects, resulting in defective or even scrap products, causing significant financial losses for the company. If these products enter the market, they can directly impact the occurrence rate of traffic accidents. Therefore, the manufacturer needs to develop the capability to quickly identify and eliminate forging defects on the automated production line.
Based on the core algorithm capabilities of SMore ViMo Intelligent Industrial Platform, SmartMore has provided a comprehensive solution for precision grinding surface inspection of steering knuckles to the customer. With the Vi-Lab operation management system, SmartMore enables the customer to quickly build a machine vision system and deploy it rapidly. The hardware components include light sources, cameras, etc. This solution achieves an accuracy rate of over 95%, resulting in a cost savings of 60% for the customer. SmartMore has successfully implemented the first automated intelligent quality inspection project for this manufacturer, serving as a successful pilot project.

客户案例3

USB Defect Detection for a Well-known Consumer Electronics Manufacturer

The project requires a three-class classification (OK/NG/NG-2) of scratches and dirt on the USB interface. Previously, the customer's quality inspection was mainly carried out through manual visual inspection, which resulted in high costs and low detection efficiency. Additionally, the tested products have various types of defects, requiring precise defect classification based on their characteristics during inspection. Traditional computer vision algorithms cannot establish standard detection templates for some defects, necessitating the use of high-precision deep learning algorithms for detection.
Based on the high-precision algorithm capability of SMore ViMo, SMIoT can perform multiple defect detections on products with an accuracy and recall rate of up to 98.9%. The false negative rate is below 2%, enabling the realization of fully automated production lines. This solution effectively reduces production inspection costs, improves product yield, and ensures operational efficiency.

客户案例1

OCR Smartwatches from a Top Global Smartphone Manufacturer

The project requires the recognition of characters engraved on metal components of smartwatches.
There are three different fonts for the characters, and the strap can come in black, white, or orange
colors. The imaging conditions are complex, including various forms such as blurriness, lighting
variations, and tilting, presenting significant challenges for recognition.
Based on SMore ViMo's industrial optical character recognition algorithm, SMore has developed a
sophisticated preprocessing approach to enhance the algorithm's robustness to environmental
variations. This approach ensures a high character recognition accuracy of up to 99.9% and enables
compatibility with various product configurations, As a result SMore has successfully implemented fully
automated production on six production lines for our customers.

客户案例2

Featured Products

ViMo Deeplearning

ViMo Deeplearning

Product Description

ViMo Deeplearning is a desktop industrial vision deep learning training software developed by SmartMore. Leveraging the cutting-edge computer vision algorithms from ViMo Cloud, the product focuses on refining and optimizing smart annotation, automatic algorithm training, rapid model tuning, and efficient SDK inference. Additionally, it is user-friendly and requires zero programming skills, allowing users to accomplish core tasks in smart manufacturing production lines, such as material classification, defect detection, object localization, and character recognition.

As a desktop software, ViMo Deeplearning complements ViMo Cloud by providing offline model training capabilities. This achievement enables the ViMo product series to offer comprehensive coverage of capabilities in the industrial vision field, empowering more enterprises with opportunities for visual intelligence upgrades and facilitating the practical implementation of intelligent manufacturing upgrades.

产品介绍

Product Features

产品亮点—标注升级

Advanced Smart Annotation, Boosting Operational Efficiency:

ViMo Deeplearning offers a range of image annotation features, including AI-powered annotation, non-learning regions and label soft/hard merging. With one-click AI-powered annotation, average efficiency can be improved by over 70% while maintaining the same annotation accuracy.

产品亮点—隐私加锁

On-site Data Processing with Enterprise Privacy Protection:

By leveraging the capabilities of edge computing, ViMo Deeplearning enables on-site processing of production line data and model construction without the need to copy data off-site. This approach effectively safeguards enterprise production privacy, eliminating concerns about the leakage of confidential information such as materials, equipment, and production line plans.

产品亮点—模型sdk

Model SDK Export for Stable and Flexible Development:

ViMo Deeplearning supports one-click deployment of models for real-time inference and operates seamlessly in multiple development languages and system environments, effectively accommodating various hardware types. By leveraging techniques such as model distillation and pruning, it creates compact yet powerful models that stably run in different scenarios, including intelligent vision controllers, smart cameras, and industrial computers.

产品亮点—数据分析

In-depth Data Analysis for Intelligent Decision-making:

The software provides visual analysis of model inference data and interactive post-processing capabilities. Through visualized graphs, users can gain insights into global information regarding false positives, false negatives, and defect statistics. Real-time adjustments to various parameters can be made based on inference results, allowing for quick alignment with false positive rates, false negative rates, and other indicators. This enables flexible project delivery.

产品亮点—云端高度协同

Edge + Cloud, Overcoming Production Line Constraints:

In offline environments, ViMo Deeplearning complements ViMo Cloud by providing offline model training capabilities. This comprehensive coverage in the industrial vision field ensures data format, model format, and solution format compatibility between the two products. ViMo Deeplearning projects can seamlessly integrate with ViMo Cloud, allowing users to enjoy the convenience of cloud services effortlessly. It provides more enterprises with opportunities for visual intelligence upgrades, facilitating the practical implementation of intelligent manufacturing upgrades.

Application Cases

Precision Grinding Surface Defect Detection for Steering Joints at a Global Top 500 Japanese Automotive Parts Manufacturer

The automotive steering knuckle forging process is complex and prone to forging defects, resulting in defective or even scrap products, causing significant financial losses for the company. If these products enter the market, they can directly impact the occurrence rate of traffic accidents. Therefore, the manufacturer needs to develop the capability to quickly identify and eliminate forging defects on the automated production line.
Based on the core algorithm capabilities of SMore ViMo Intelligent Industrial Platform, SmartMore has provided a comprehensive solution for precision grinding surface inspection of steering knuckles to the customer. With the Vi-Lab operation management system, SmartMore enables the customer to quickly build a machine vision system and deploy it rapidly. The hardware components include light sources, cameras, etc. This solution achieves an accuracy rate of over 95%, resulting in a cost savings of 60% for the customer. SmartMore has successfully implemented the first automated intelligent quality inspection project for this manufacturer, serving as a successful pilot project.

客户案例3

USB Defect Detection for a Well-known Consumer Electronics Manufacturer

The project requires a three-class classification (OK/NG/NG-2) of scratches and dirt on the USB interface. Previously, the customer's quality inspection was mainly carried out through manual visual inspection, which resulted in high costs and low detection efficiency. Additionally, the tested products have various types of defects, requiring precise defect classification based on their characteristics during inspection. Traditional computer vision algorithms cannot establish standard detection templates for some defects, necessitating the use of high-precision deep learning algorithms for detection.
Based on the high-precision algorithm capability of SMore ViMo, SMIoT can perform multiple defect detections on products with an accuracy and recall rate of up to 98.9%. The false negative rate is below 2%, enabling the realization of fully automated production lines. This solution effectively reduces production inspection costs, improves product yield, and ensures operational efficiency.

客户案例1

OCR Smartwatches from a Top Global Smartphone Manufacturer

The project requires the recognition of characters engraved on metal components of smartwatches.
There are three different fonts for the characters, and the strap can come in black, white, or orange
colors. The imaging conditions are complex, including various forms such as blurriness, lighting
variations, and tilting, presenting significant challenges for recognition.
Based on SMore ViMo's industrial optical character recognition algorithm, SMore has developed a
sophisticated preprocessing approach to enhance the algorithm's robustness to environmental
variations. This approach ensures a high character recognition accuracy of up to 99.9% and enables
compatibility with various product configurations, As a result SMore has successfully implemented fully
automated production on six production lines for our customers.

客户案例2

Featured Products

ViMo Studio

ViMo Studio

Product Description

ViMo Studio is an industrial machine vision software created by Smartmore. It is a user-friendly solution that utilizes a graphical interface for easy operation. With its flexible configuration options, users can efficiently implement a wide range of machine vision applications, including size measurement, assembly positioning, defect detection, OCR, and code reading. The software incorporates cutting-edge algorithm modules like deep learning, and it offers the capability to export running software and SDK to cater to the intricate and diverse requirements of industrial applications.

 

产品介绍

Product Features

产品亮点—丰富算法

Rich Algorithm Tailored to Specific Needs:

Our solution offers a wide range of powerful algorithms tailored to specific inspection requirements. By combining traditional visual tools with deep learning algorithms, we create robust quality control systems for industrial applications.
Drawing on over 20 years of research and practical experience, our deep learning algorithms excel in complex industrial scenarios. The general model quickly identifies target defects, while our library of traditional vision tools handles tasks like calibration, positioning, detection, measurement, logic, and calculations.

产品亮点—视觉方案

One-click Generation of Visual Schemes:

With our intuitive graphical interface, you can effortlessly construct a visual inspection process in minutes. The running software designer provides a practical UI control library, granting control over running processes, yield statistics, performance monitoring, and user permissions. This caters to the diverse needs of engineers and operators in different roles. Our end-to-side software design eliminates the need for programming, reducing labor costs and expediting the implementation of visual inspection projects.

产品亮点—硬件广泛

Extensive Hardware Compatibility, Flexible Integration with Production Line:

Our solution is highly adaptable to various hardware configurations, allowing seamless integration with production lines. It supports popular industrial camera brands for easy image acquisition and communicates flawlessly using common protocols. The export side's independent deployment ensures stable operation on the production line.

Application Cases

Precision Grinding Surface Defect Detection for Steering Joints at a Global Top 500 Japanese Automotive Parts Manufacturer

The automotive steering knuckle forging process is complex and prone to forging defects, resulting in defective or even scrap products, causing significant financial losses for the company. If these products enter the market, they can directly impact the occurrence rate of traffic accidents. Therefore, the manufacturer needs to develop the capability to quickly identify and eliminate forging defects on the automated production line.
Based on the core algorithm capabilities of SMore ViMo Intelligent Industrial Platform, SmartMore has provided a comprehensive solution for precision grinding surface inspection of steering knuckles to the customer. With the Vi-Lab operation management system, SmartMore enables the customer to quickly build a machine vision system and deploy it rapidly. The hardware components include light sources, cameras, etc. This solution achieves an accuracy rate of over 95%, resulting in a cost savings of 60% for the customer. SmartMore has successfully implemented the first automated intelligent quality inspection project for this manufacturer, serving as a successful pilot project.

客户案例3

USB Defect Detection for a Well-known Consumer Electronics Manufacturer

The project requires a three-class classification (OK/NG/NG-2) of scratches and dirt on the USB interface. Previously, the customer's quality inspection was mainly carried out through manual visual inspection, which resulted in high costs and low detection efficiency. Additionally, the tested products have various types of defects, requiring precise defect classification based on their characteristics during inspection. Traditional computer vision algorithms cannot establish standard detection templates for some defects, necessitating the use of high-precision deep learning algorithms for detection.
Based on the high-precision algorithm capability of SMore ViMo, SMIoT can perform multiple defect detections on products with an accuracy and recall rate of up to 98.9%. The false negative rate is below 2%, enabling the realization of fully automated production lines. This solution effectively reduces production inspection costs, improves product yield, and ensures operational efficiency.

客户案例1

OCR Smartwatches from a Top Global Smartphone Manufacturer

The project requires the recognition of characters engraved on metal components of smartwatches.
There are three different fonts for the characters, and the strap can come in black, white, or orange
colors. The imaging conditions are complex, including various forms such as blurriness, lighting
variations, and tilting, presenting significant challenges for recognition.
Based on SMore ViMo's industrial optical character recognition algorithm, SMore has developed a
sophisticated preprocessing approach to enhance the algorithm's robustness to environmental
variations. This approach ensures a high character recognition accuracy of up to 99.9% and enables
compatibility with various product configurations, As a result SMore has successfully implemented fully
automated production on six production lines for our customers.

客户案例2

SMore AIoT

SMore AIoT

Product Description

SMore AIoT industrial internet platform integrates core technologies such as AI, computer vision, digital twin, IoT, and big data. It is a comprehensive application platform designed for industrial enterprises, extending from the OT layer to the IT layer. The AIoT platform covers multiple scenarios across the device, production line, factory, and enterprise layers. It provides end-to-end digital services for intelligent production, operation, management, and visual decision-making, empowering manufacturing enterprises to reduce costs, optimize inventory, save energy, and reduce emissions. improve quality, and enhance efficiency, thus creating a new generation of intelligent factories.

 

产品介绍

Product Function Points

功能点 拷贝

Application

应用场景—设备

Equipment Process Layer

IoT, Optimization of Industrial Parameters

产品优势 拷贝

Production&Factory Layer

Transparent Factory of Digital Twin, Smart Logistics, Predicative Operation Management of Equipment, Optimization of Equipment, Optimization of Consumption Analysis, Visual Lean Operation Management, Quality Management of AI-ADC, AI-OCR for Non-Intelligent Device

应用场景—企业

Enterprises Applications

Data Lake, Enterprise Management Dashboard

Application Cases

Digital Transformation of an International Precision Optics Manufacturer

SmartMore provided enterprises with a one-stop application service covering equipment-level process parameter optimization, digital twinning of production lines and factories, and enterprise-level data lakes, successfully facilitating cost reduction and efficiency improvement, and realizing a new model of information technology-driven next-generation smart factory construction. All these efforts have led to a 35% reduction in coating adjustment time, a 25% reduction in material loss, and a 20% increase in overall production capacity in the equipment level. This optimization also enhanced the management of the process data lifecycle.

Digital twinning of production lines and factories led to a 31% reduction in equipment downtime and a 20% decrease in maintenance costs, thus lowering the expenses associated with equipment supervision and production implementation. At the enterprise level, the implementation of a data lake enhanced the ability to perform data mining and analysis, build intelligent applications, and manage digital assets, providing a solid foundation for decision-making and optimizing management.

At the enterprise level, the implementation of a data lake enhanced the ability to perform data mining and analysis, build intelligent applications, and manage digital assets, providing a solid foundation for decision-making and optimizing management.

Through these comprehensive solutions, SmartMore successfully supported the construction of a next-generation smart factory, enabling cost reduction, efficiency improvement, and data-driven decision-making.

客户案例
Defect detection of ground finish surface of steering knuckle