Solar PV and Lithium-Ion Battery

New Energy Lithium Battery Defect Detection


The traditional method of battery defect detection is manual measurement and judgment, and the detection system of machine vision can overcome the shortcomings of manual detection. Standard and quantifiable, improve the automation degree of the entire production system; not only save labor costs, but also avoid errors caused by human statistical data.


How to highlight defects and extract useful information is the difficulty of visual processing. Between the different requirements for various applications, camera selection has always been one of the most important precursors before execution. 

Battery edge sealing defect detection, in order to prevent battery leakage and cause safety accidents, in the production of lithium batteries, the edge sealing inspection of lithium batteries should be done. 

Using the visual inspection hardware system, the visual inspection system used is mainly composed of industrial cameras, lenses and light sources. It can be embedded and installed in the required inspection station, and basically no need to modify the original equipment.


The application scheme of resolution requirements is related to the working distance, size, field of view, and accuracy of the measured object.  When choosing the value of the camera resolution, it is necessary to know the field of view and working distance of the object to be measured. Sometimes, the user will also require the accuracy first, and then calculate the required resolution according to these conditions.

Generally speaking, the accuracy of mono cameras is higher than that of color cameras, and the noise is lower. If the test object does not need to check the color, mono cameras will be a better choice, especially for object surface detection, the accuracy and detail of images captured by mono cameras are usually much higher than these with color cameras.

Back to list