Intelligent Bear Prevention System Based on Computer Vision: An Approach to Reduce Human-Bear Conflicts in the Tibetan Plateau Area, China
Journal:
arXiv
Published Date:
Mar 29, 2025
Abstract
Conflicts between humans and bears on the Tibetan Plateau present substantial
threats to local communities and hinder wildlife preservation initiatives. This
research introduces a novel strategy that incorporates computer vision
alongside Internet of Things (IoT) technologies to alleviate these issues.
Tailored specifically for the harsh environment of the Tibetan Plateau, the
approach utilizes the K210 development board paired with the YOLO object
detection framework along with a tailored bear-deterrent mechanism, offering
minimal energy usage and real-time efficiency in bear identification and
deterrence. The model's performance was evaluated experimentally, achieving a
mean Average Precision (mAP) of 91.4%, demonstrating excellent precision and
dependability. By integrating energy-efficient components, the proposed system
effectively surpasses the challenges of remote and off-grid environments,
ensuring uninterrupted operation in secluded locations. This study provides a
viable, eco-friendly, and expandable solution to mitigate human-bear conflicts,
thereby improving human safety and promoting bear conservation in isolated
areas like Yushu, China.
