A Survey on - Deforestation and Wild Life Protection System Using IoT

Deforestation and wildlife endangerment remain critical environmental challenges across the globe. This project proposes an IoT-based monitoring and alert system designed to track environmental parameters, detect unusual activities, and protect forest ecosystems. Leveraging the ESP WROOM 32, various sensors (DHT11, PIR, Sound, MQ-2, GPS, Ultrasonic, RFID, Buzzer etc), and the ESP32-CAM module, the system enables real- time data acquisition, image capture, and location tracking. Sensor data is transmitted to a PHP- MySQL-based web dashboard with OpenStreetMap integration for visualization and anomaly detection. Automated alerts via SMS and email are sent through the Twilio API when predefined thresholds are breached. This paper details the system architecture, sensor integration, data communication, and user interface, demonstrating a low-cost and scalable solution for forest surveillance and wildlife conservation.