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Case Study: REPLAY ERROR DETECTION
This project involves developing an AI-powered system to detect product defects on a relay production line. Previously, human visual inspection at the end of the conveyor belt resulted in low productivity and inefficient use of human resources.
Project Description
Developed an Al system to detect product defects on the relay production line.
Replaced inefficient human visual inspection to significantly improve productivity.
Business Needs
Automate defect detection to reduce manual review efforts. Identify five types of relay failures:
Spike formation
Glue on terminal
Standoff height issues
Lack of pre-soldering
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