Product Introduction

For the 3C industry steel shell battery in the manufacturing process of bad appearance detection needs, through high-precision 2D, 3D and 2.5D composite optical system, built-in multi-angle & multi-attitude composite light source, and the integration of 2D photometric stereo and 3D point cloud map calibration, compensation algorithms and other technologies, as well as independent research and development of defects in the intelligent detection of AI classification algorithms, combined with high-precision and high-speed servo motion platform, intelligent Combined with a high-precision and high-speed servo motion platform, it can intelligently detect defects on the upper and lower surfaces, sides, inner and outer R-angle curved surfaces, poles, sealing nails and edges of the steel shell, effectively solving the pain point of difficult to control the appearance quality of steel shell batteries in the manufacturing process.

Product Features

1. Detection speed 0.25sec/FOV, detection resolution up to 10um/Pixel;
2.Mainly detects defects such as component surface skewing, foreign object attachment, foreign colour, missing parts, part deformation, rubber missing, scratching, bumping, part offset, tin overflow, residual foreign objects, indentation, scratches, cracks, polarity reversal and other defects, as well as the tin surface of the wrong parts, missing parts, component skewing scratches, breakage, deep scratches through holes and so on.
3.Compatible fixture size range: 1200mm*350mm, support large size customisation;
4.Excellent loss of graphic reading and processing capabilities, instant processing of large graphics;
5. Based on self-developed AI defect automatic detection and classification algorithms, automatic output defect category, coordinates, size;
6. Data traceability, powerful SPC analysis and early warning.