Shenzhen Chuanghuayan Technology Co., Ltd.| HIKROBOT Machine Vision first-level agent in South China
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Color difference recognition
APPLICATION · Imaging Plan

Color difference recognition ·Machine vision solution

AI classification ensures consistency of component appearance color differences

Scene overview

OVERVIEW

The color difference in component appearance affects the appearance of the terminal. Machine vision uses AI classification to ensure the consistency of color differences between battery sheets and components, and avoid customer complaints caused by color differences on the same board.

Silicon wafer sorting Cell crack detection Component typography defects EL/PL imaging Color difference recognition
Color difference recognition

Core competencies

KEY CAPABILITIES
1

Component/cell color difference AI classification

2

Consistency control of color difference on the same board

3

Multiple Light Sources suitable for different surfaces

4

Traceability of classification results

Recommended products

RECOMMENDED PRODUCTS
Smart AI Training & Inference Systems Smart Vision Systems

Other application scenarios in the same industry

MORE SCENARIOS
Silicon wafer sorting

Consistent sorting of silicon wafer line traces, chipping edges and thickness
Cell test

Accurate identification of hidden cracks, broken grids, black spots and color differences
Component typography

Detection of battery cell layout misalignment and hidden crack defects before lamination
EL/PL imaging

Electroluminescence and photoluminescence imaging reveals internal cracks
Need "Color difference recognition "?
Provide selection consultation, sample testing and solution verification, and original factory authorization support.
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