Project employs Raspberry Pi and bioacoustic analysis to improve wildlife conservation and combat poaching.
Forests are essential for preserving biodiversity and ecological balance, but they are increasingly threatened by poaching, illegal logging, and conflicts between people and wildlife. Static cameras and manual patrolling are examples of traditional surveillance techniques that are frequently ineffective and do not provide real-time alerts. This project uses a Raspberry Pi, MEMS microphones, and LoRa communication to create a Smart Forest Boundary and Bioacoustic Protection System. To distinguish between human and animal activity, the system combines visual detection using AI models like YOLO with bioacoustic sound analysis. Forest officials receive real-time alerts, which facilitate prompt action and improve wildlife conservation.
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Chopkar et al. (2025) studied this question.
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