IOT BASED ANTI-POACHING SYSTEM FOR TREES AND WILDLIFE MONITORING SYSTEM IN REMOTE AREAS

Abstract

The increasing rate of illegal poaching, deforestation, and forest fires poses a serious threat to biodiversity and ecological balance. Traditional forest monitoring methods, which rely heavily on manual patrolling, are often inefficient, time-consuming, and inadequate for large or remote areas. To address these challenges, this project proposes an IoTbased AntiPoaching System for Trees and Wildlife Monitoring that enables real-time surveillance and automated alert mechanisms. The system is built around an ESP32 microcontroller, which integrates multiple sensors to monitor environmental and security parameters. A combination of sensors, including the MPU6050 for detecting tree vibrations and tilts, PIR sensors for motion detection, and MQ2 gassensors for identifying smoke and harmful gases, ensures comprehensive monitoring. Additionally, an ESP32-CAM module provides real-time video streaming, while a GPS module enables precise location tracking of events and resources. All collected data is transmitted to the Blynk IoT platform, allowing remote monitoring through smartphones or web interfaces. The system generates instant alerts when abnormal activities such as illegal tree cutting, unauthorized human presence, or fire hazards are detected, enabling quick response from authorities. This proposed solution offers a costeffective, scalable, and intelligent approach to forest protection. By integrating IoT technology with real-time data processing and multi-sensor coordination, the system enhances monitoring efficiency, reduces response time, and supports sustainable wildlife conservation and environmental management.