Defect detection usually refers to the detection of surface defects. Surface defect detection uses advanced machine vision detection technology to detect defects such as spots, pits, scratches, color difference and defects on the surface of workpiece.

In order to meet the needs of actual production, the surface defect detection system has the following applicable functions:

Automatically complete the workpiece and camera image synchronization

Automatic detection of product surface spots, pits, copper spots, scratches and other defects

Defect types can be learned and named as needed

The type of defects to be detected can be selected according to the needs

The defect size can be set according to the need

To locate the bad position, the labeling equipment can be controlled to print the equipment for identification

The defective product image can be stored automatically and the history can be queried

Automatic statistics (good products, bad products, total number, etc.)

It can provide sound and light alarm when it is abnormal, and control the equipment shutdown

The system has self-learning function, and the learning process is easy to operate

Detection rate of surface defects of lithium battery

Defect 1: heat shrinkable sleeve

Defect description: the edge of heat shrinkable sleeve is damaged

Detection scheme: the defect is obvious and can be detected

Defect 2: double gasket

Defect description: two gaskets

Detection scheme: strip light from the side, double gasket can be detected, to be divided into two stations for polishing

Defect 3: positive pit

Defect description: positive spot

Detection scheme: the pit feature is not obvious, and the misjudgment rate is high

Defect 4: shell pit

Defect description: side wall pit of battery

Detection scheme: uneven side wall package may cause misjudgment and poor compatibility

Defect 5: foreign body / Blister in heat shrinkable sleeve

Defect description: there are foreign matters / bubbles in the heat shrinkable sleeve on the side wall of the battery

Detection scheme: foreign body foaming characteristics, can be detected, poor stability

Defect 6: negative solder joint

Defect description: negative solder joint

Detection scheme: for this sample, it can be detected

Defect 7: scratch of negative electrode

Defect description: the negative electrode is slightly scratched

Detection scheme: the surface of the workpiece reflects light, and the interference points cannot be removed, so the detection accuracy is low and the misjudgment is high

Defect 8: negative pit

Defect description: the negative electrode is slightly pitted

Detection scheme: surface interference points, pits are too small, easy to cause false detection

Defect 9: positive electrode scratch

Defect description: slightly scratched positive electrode

Detection scheme: workpiece edge features can not remove interference points, which will affect the detection effect and lead to high misjudgment

3D character recognition

FPC chip detection

Defect inspection of high reflective surface