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AI Defect Inspection for Fakra type connectors
Project Type
AI / Computer Vision / Programming
Date
March 2024
Location
Hermosillo, Sonora, Mexico
Company
TE Connectivity
Name: Fakra Connector Inspection
Software: MVTec Merlic
Key Tools: DL Classification Tool
Description : Developed and integrated a machine vision solution using MERLIC’s Deep Learning Classification tool to automatically detect quality defects in Fakra connectors. The system was trained to identify issues such as:
Damaged or missing pins
Surface contamination (e.g., fibers, metal burrs)
Cracked or deformed plastic housings
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