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.
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.
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.
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.
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.
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.
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.