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Electronics
PCB, MLCC, and solar cells are small, sophisticated electronic components that perform an important role in many products. High-performance quality testing is essential for electronic products, and today, deep learning technology goes beyond the limits of existing inspection automation to quickly detect various atypical defects.
Build a solution for quality inspection with Neurocle's deep learning vision software.
PCB inspection
PCB panel defect inspection
PCB component mounting inspection
Neurocle software detects atypical defects such as short, mouse bite, pin hole. During the PCB fabrication process, the mounting, placement, and number of appropriate components are inspected.
Company 'S' PCB inspection
MLCC inspection
MLCC final surface inspection
Many companies still use conventional methods to inspect MLCCs, causing many overkills and underkills.
Neurocle software recognizes and classifies various defects such as cracks and plating mistakes to minimize inspection error rates.
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Company 'S' MLCC surface inspection
Compact Camera Module (CCM) Inspection
Lens module inspection
The lens module, responsible for the optical part of the CCM, is a key component of a camera.
Neurocle software inspects the bonding quality of the lens assembly process, and detects lens contamination such as scratches or stains.
Company 'L' CCM inspection
Solar Cell Inspection
Panel defect inspection
Solar cell panels come in many different forms, and their defects are quite complex. Most of the solar cell inspection is done through the PL/EL system, where the images are categorized with human eyes.
By learning defective types such as dead cell, broken cell, hotspot, and microcrack, inspection can be automated, and the quality of inspection improved.
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Company 'H' EL inspection