Birds’ Detector and Repellent System for Large-scale Smart Farming

This project aims to develop a real-time bird detection and repellent system designed to protect agricultural fields. The prototype leverages computer vision and advanced machine learning algorithms for accurate bird detection, using a camera to monitor live video feeds. When a bird is identified, the repellent system activates to deter it from the area. This system employs a high-frequency ultrasonic piezoelectric buzzer that emits sounds inaudible to humans but disruptive to birds, effectively encouraging them to leave the vicinity.