Living in a region close to wildlife reserves, I frequently heard news about tigers wandering into nearby villages, posing threats to both humans and animals. The lack of real-time alert systems in rural areas motivated me to build a low-cost, efficient solution that could help prevent such human-wildlife conflict. My goal was to create a system that could detect tiger movement and immediately trigger alerts to ensure community safety.
I developed a real-time tiger detection system using a combination of computer vision, microcontrollers (ESP32), and Django-based web technology. The project includes:
Live video processing using OpenCV and a pre-trained object detection model.
Automatic alerts via the web dashboard for authorized officials when a tiger is detected.
An authentication system to limit dashboard access to verified users.
Microcontroller integration (ESP32) for potential connection to physical alarms or lights.
Built With
- django
- yolo
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