Li-ion Battery Visual Inspection System For Economy Sustainable Development

Li-Ion Visual Inspection System For Economy Sustainable Development

Features of system

Product background

In order to improve the consistency of the quality of lithium battery pole pieces, a high-speed slicer lithium battery pole piece online detection system based on machine vision is designed and implemented. In the work, a 4K linear array CCD system was selected, a dynamic scanning system was constructed, and a corresponding installation layout was formulated; through the development of a defect identification system and a human-machine interface system, the real-time display and monitoring of the pole pieces, classification and elimination, and The storage of information. The use in the actual industrial environment shows that the monitoring system is reliable in operation, easy to expand, and improves the automation level of lithium battery production and the yield of products.

Power battery is a new type of green high-energy chemical power source, which is widely used in new energy applications. As new energy vehicles become the main engine driving the demand for power batteries, and the marketization of new energy vehicles increases, the shipments and installed capacity of power batteries are also increasing. The market prospect is broad, and ensuring its defect-free inspection is particularly important, because it is directly related to the performance and safety of new energy vehicles.

Inspection details

• The online visual inspection system for lithium battery electrodes can be embedded in the back of the roller press, in front of the slitting machine, and on the slicer. There is no need to modify the original equipment. Users can choose flexible installation positions according to the space and process characteristics of the production line. This visual inspection system adopts CCD industrial camera imaging technology and advanced digital image processing signal processing and analysis technology to realize the detection of coating quality and coating size.

• The defect record of the visual inspection equipment can be automatically converted into a quality picture report. On the quality picture, the user can easily and intuitively view the defect location information and defect content. These data can also be exported from the database and provided to users for quality management retrospective analysis. By setting and selecting the slitting scheme and the residual material boundary parameters, the coating can be divided into multiple areas according to the subsequent slitting process, and each area can be detected according to the same or independent parameters.

• The machine vision-based lithium battery visual inspection equipment can avoid the waste of finished product defects, detect and mark coating quality defects, and use the marking and rejection signals to pick out waste products before manufacturing finished cells, which can reduce materials and production lines for enterprises. Waste, through the actual input and output of defect information, help enterprises to grasp the equipment production situation in time, adjust equipment, and improve product quality.

After-sale service

The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.

After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.

About Us

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths