Shenzhen Chuanghuayan Technology Co., Ltd.| HIKROBOT Machine Vision first-level agent in South China
中文
Cell test
APPLICATION · Manufacturing by Photovoltaic

Cell test ·Machine vision solution

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

Scene overview

OVERVIEW

Cell defects determine component Power and reliability. Machine vision uses AI algorithm to identify hidden cracks, broken grids, black spots and color differences, and combines EL/PL imaging to reveal internal defects to ensure the shipment quality of battery chips.

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

Core competencies

KEY CAPABILITIES
1

Identification of hidden cracks, broken grids, black spots, and color differences

2

AI Algorithm Platform accurately classifies defects

3

EL/PL imaging reveals internal defects

4

Multi-station linkage full inspection

Recommended products

RECOMMENDED PRODUCTS
2.5D Vision Inspection Systems Smart AI Training & Inference Systems Industrial Cameras

Other application scenarios in the same industry

MORE SCENARIOS
Silicon wafer sorting

Consistent sorting of silicon wafer line traces, chipping edges and thickness
Component typography

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

Electroluminescence and photoluminescence imaging reveals internal cracks
Color difference recognition

AI classification ensures consistency of component appearance color differences
Need "Cell test "?
Provide selection consultation, sample testing and solution verification, and original factory authorization support.
Obtaining solutions
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Silicon wafer sorting
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Component typography

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