Cylindrical Battery Cell Finished Product Appearance Visual Inspection Equipment
Equipment features:
| 1. AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training |
| 2. Dataization: Independent database, save multiple samples, analyze non-good products, and retain history |
| 3. Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4. High precision: detection accuracy can be high |
| 5. Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6. Easy to operate: It is easy to operate and easy to maintain |
| 7. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Inspection principle
The demand for appearance testing equipment for finished battery cells is gradually rising, especially in the field of cylinders. This trend is very obvious. Previously, the appearance inspection of finished battery cells was not a mandatory item, but a major change in recent years is that some leading battery companies have included the inspection station of finished battery cells as a planning item at the beginning of the layout of the production line design.
How to highlight the detection information such as size and defects is the difficulty of machine vision processing. This article will share the application case of Jingzhi Vision 3D measuring instrument in the appearance and defect detection of lithium batteries, and further analyze how to detect poor quality in the production process of lithium batteries.
Functions of system
- The equipment consists of an automatic feeding station, a line scanning inspection station, a pole surface appearance inspection station, and an automatic boxing station
- Integrating multiple technologies including multi-spectral grating imaging technology, photometric stereo, and AI multi-angle joint inference
- A single imaging can collect multiple pictures from different angles, and synthesize photometric and physical effect pictures, which can better highlight defect features. Compared with traditional solutions, it has the characteristics of high efficiency, strong stability, and high integration.
- The equipment is small in size and can be flexibly embedded in the original production line
- It has the functions of automatic material loading, detection and identification, barcode binding and uploading MES, etc.
- It can be connected to the upper and lower end functional test equipment, and complete the appearance defect detection without changing the customer's existing equipment layout
- Take the material through the visual positioning of the manipulator, and then perform multi-faceted and multi-angle detection with multi-axis linkage
- The equipment integrates multi-spectral light source, photometric stereo, AI multi-angle joint inference and multiple technology integration
- It can detect the appearance of the six sides of the battery body and the defects of the positive and negative tabs
Inspection result
The system adopts high-precision linear track slide table, high-precision rotary platform, high-precision fixture platform, high-reliability motor and control system to realize the automatic process of battery loading, testing and unloading.
It is mainly used to detect defects such as pits, bulges, and scratches on the appearance of lithium batteries. According to the system algorithm and user-defined industrial parameters, the detection results are output in real time, and the lithium batteries are automatically sorted into qualified and unqualified products through the automatic mechanism. Moreover, the system is compatible with the MES industrial system, which is convenient for real-time synchronous detection of statistical data.
Company profile
KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.
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