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Edge AI Based Adaptive Traffic Signal Control Using Raspberry Pi 4 VideoCore VI GPU and Computer Vis by iqoophone92 is a document available to read on EtoBox.

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This project presents an edge-AI-based traffic signal control system using Raspberry Pi 4 and YOLO-Tiny for real-time traffic monitoring and adaptive signal timing. It achieves significant cost savings and improved traffic flow, reducing congestion by approximately 30% while maintaining a total system cost under $150. Future enhancements include potential upgrades for GPU acceleration and multi-intersection coordination.

Author

iqoophone92

Language

EN