Implementation of AI Vision-based Top-view Logistics Sorting and Integrated Industrial Safety Control System
In the modern logistics industry, the dual challenge of improving sorting efficiency and ensuring worker safety is paramount. This study presents an integrated smart factory solution developed during a first-year capstone design project. The system utilizes dual top-view AI vision cameras to classify items by grade and type in real-time, coupled with an Arduino-based sorting mechanism. A critical feature of the system is its proactive safety protocol, which employs AI algorithms to detect human presence in hazardous zones and triggers an immediate emergency stop. Experimental results from the prototype demonstrate high classification accuracy and robust safety responsiveness, suggesting a viable model for small-scale automated logistics environments.