A prototype that detects speed signboards (20, 40, 60, STOP) using a custom-trained YOLOv11 model and automatically adjusts the movement of a small car using motor control. Designed for real-world scenarios like hospital, school, and highway zones.
Kiểm tra độ đục và thông báo chuông khi phát hiện độ đục từ cảm biến truyền lên
This repository implements a real-time early warning system designed to mitigate human-wildlife conflicts in remote areas. Leveraging YOLO object detection models and Raspberry Pi integration, the system identifies wildlife from live video feeds, records 5-second video clips of detections, and sends SMS alerts via Twilio, including GPS coordinates
Connect Raspberry Pi 5 with Xojo to a Raspberry Pi Pico WH with Python to communicate with GPIO serial (UART)
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