Call For Paper Volume: V, Issue: 06 | JUNE 2026 | International Journal of Advanced Trends in Engineering and Management (IJATEM)
Volume | Issue | | Paper ID: ICNGECT_2026_033 | DOI: https://doi.org/10.59544/gkhp9717/icngect26p33

AI and IoT-Based Illegal Mining and Deforestation Detection

S.Yamuna, K.Subalakshmi, G.Tharshini, K.Vidhya, R. Mahalakshmi

Forests and remote areas require continuous monitoring to prevent illegal activities and environmental hazards, but regular human supervision is difficult due to their large coverage and limited infrastructure. This research proposes a solar-powered smart monitoring system designed to improve protection and surveillance in such regions. The system uses multiple sensors to detect abnormal events in real time. A vibration sensor detects unusual ground disturbances caused by activities such as tree cutting or mining, and when abnormal vibration is detected, the system activates a camera to capture images of the surrounding area for analysis. An infrared sensor is used to detect unauthorized human or vehicle movement, while a flame sensor identifies early signs of fire to prevent forest fires. The sensor data are processed by a microcontroller that controls the entire system and evaluates the detected conditions. When an abnormal event occurs, an alert message is sent to the authorities using a Global System for Mobile Communication module. The system status is displayed on a liquid crystal display and also monitored remotely through an Internet of Things platform. Since remote forest areas often lack reliable electricity, the system operates using solar power. The proposed system provides a reliable and cost-effective solution for early detection of threats and improved forest protection.