Cyber-Driven Surveillance and Alert System for Illegal Logging Detection in Protected Forest Areas

Abstract: Illegal logging poses a significant threat to biodiversity, forest ecosystems, and climate stability. In this paper, we propose a cyber-driven surveillance and alert system designed to detect and report illegal logging activities in real time. The system integrates Internet of Things (IoT) sensors, edge computing, and artificial intelligence (AI) to monitor protected forest zones continuously. Acoustic sensors detect chainsaw sounds, while visual sensors capture unauthorized human activity. AI algorithms classify the threats and generate alerts for forest officials via secure communication protocols. Field tests demonstrate high accuracy in detection and timely alert delivery. This work enhances environmental protection efforts through technology-driven monitoring and intervention.

Keywords: Illegal logging, Cyber-physical systems, Forest surveillance, AI detection, IoT, Edge computing, Environmental monitoring