Brand Name : KEYE
Model Number : KVIS-Battery Cap
Certification : NO
Place of Origin : China
MOQ : 1 SET
Price : Negotiable
Payment Terms : L/C, T/T
Delivery Time : 4 to 6 weeks
Packaging Details : Fumigation-free wood
Supply Ability : 1 set per 4 weeks
Name : Li-ion Power Battery Cap Vision Machine
Software algorithm : Deep learning
Voltagege : Adapt to national standards
Transfer Method : Lossless delivery
Weight : 300-500kg
Camera : Industrial camera
Rejection method : High-speed automatic rejection
Inspection scope : Poor appearance, poor size
OEM : Yes
Package : Wood packing
Product background
The battery cap is the core part of the battery. It not only acts as a conductive electrode, but also provides the battery sealing function and safety valve. Its quality directly affects the service life of the battery and personal safety. Strict appearance inspection.
In the battery production process, the battery cap is prone to various production defects, especially the front surface of the battery cap is prone to various quality defects. With the continuous development of the new energy industry, the quality requirements for battery caps are getting higher and higher, but at present, most battery manufacturers use manual inspection methods to inspect the appearance of battery caps. Due to the slow speed of manual inspection, artificial emotions Due to the influence of experience and experience, it is easy to misdetect and miss the situation, it is difficult to guarantee the product quality, and it is difficult to meet the comprehensive inspection requirements of large-scale products.
Detection principle
The products are neatly placed according to a certain rule through the seat plate conveying device, and there is a gap between the products. With the addition of a set of industrial cameras, the high-pixel sample images captured in real time are transmitted to the image processing software. After system analysis, the good and bad products are determined. And control the corresponding automation device to reject defective products, and finally collect qualified products.
The software will open the sample comparison standard, and the production personnel at the customer site can control the comparison accuracy and select the most suitable accuracy standard for their own production conditions, thereby controlling the defect rate.
Detect detail&system configurations
Take an industrial computer controlling 2 sets of high-pixel industrial cameras and high-performance strobe light sources to visually detect the appearance defects of 2 base plate products as an example, the maximum detection speed of a single set can reach 170-200 pieces/min (the actual speed depends on the conveying speed of the production line). The entire detection system includes visual electronic hardware and detection system software, which can be deployed and used according to the specific production conditions of the customer's site.统运
Name | Specification | Unit | Quantity | Note |
Industrial camera | HIK Vision | Set | 2 | China
|
Flat lens | Self make | Pcs
| 2 | China
|
Stroboscopic flash source | Self make | Set | 2 | China |
Photoelectric sensor | SICK | Pair
| 1 | Germany |
Industrial Power | Meanwell | Pcs
| 3 | China taiwan |
Industrial Power | Self make | Pcs
| 1 | China |
Industrial computer | Custom made
| Set
| 1 | China |
High definition touch device | Custom made
| Set
| 1 | China |
System characteristics
1)The equipment uses image imaging technology to obtain various parameters and standard products by analyzing sample images through real-time AI analysis, reject unqualified samples through compressed air, and automatically count qualified samples. Greatly improve production efficiency.
2)Can be customized according to customer needs, using one or more cameras to detect products, and reject defective products according to set standards.
3)Real-time display of sample images and running status, real-time statistics of detection results and classification information of defective products.
4)The detection function and accuracy can be flexibly changed according to the needs of the scene, and 99.9% of the specified defects can be detected.
5)Save the characteristics of each sample to the model database, can switch the sample detection with one-click loading.
6)Statistical historical production records, multi-level authority user settings, one-key backup and restore system data.
7)The detection function is highly modular, and modules can be flexibly added or removed according to requirements.
Machining process
AI Inspection Machine Li-ion Power Battery Cap Vision Machine Electrolytic Images |
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