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This project aims to enhance manufacturing process monitoring by using AI-powered action recognition to detect operator actions in response to machine errors in a factory setting.
Enhanced manufacturing process monitoring with AI-powered action recognition.
Detected operator responses to machine errors in real-time factory environments.
Identify and classify an operator’s action as OK or NG when an error occurs on a machine.
Improve efficiency and safety by ensuring proper actions are taken during machine operations.
Supervised Learning
Object Detection
Action Recognition (LSTM)
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