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Case Study: REPLAY ERROR DETECTION

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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DESCRIPTION
Project Description
Business Needs

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