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The “Smart Trap: AI-Enhanced Monkey Recognition System” revolutionizes wildlife management by combining high-resolution imaging and advanced AI. Utilizing the YOLOv8 model, the system precisely detects and identifies long-tailed macaques, ensuring high precision and recall rates. A real-time notification feature via Telegram alerts wildlife authorities when a monkey enters the trap, enhancing operational efficiency and minimizing animal suffering. By integrating human-centered technology, this system enables proactive and humane interventions in wildlife management. The system’s adaptability and real-time functionality underscore its versatility. Future improvements will expand species coverage, integrate multi-modal sensors, and enhance user interfaces. This research sets a new standard for humane, efficient wildlife management and lays a solid foundation for future AI-driven advancements in human-wildlife interaction.

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Smart Trap: AI-Enhanced Monkey Recognition System for Human-Centered Wildlife Management

  • 会议论文

  • 发表日期：

    2025年

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  • Leong Jin Ye,
  • Mohd Hasrul Che Pa,
  • Wan Azlee Wan Abdullah,
  • Mazlan Mohamed,
  • Khairul Nizar Syazwan Wan Salihin Wong,
  • Muhammad Iqbal Ahmad,
  • Tse Guan Tan,
  • Hazizi Husain,
  • Muhammad Luqman Nordin,
  • Aainaa Amir,
  • Kamarul Hambali

摘要

The “Smart Trap: AI-Enhanced Monkey Recognition System” revolutionizes wildlife management by combining high-resolution imaging and advanced AI. Utilizing the YOLOv8 model, the system precisely detects and identifies long-tailed macaques, ensuring high precision and recall rates. A real-time notification feature via Telegram alerts wildlife authorities when a monkey enters the trap, enhancing operational efficiency and minimizing animal suffering. By integrating human-centered technology, this system enables proactive and humane interventions in wildlife management. The system’s adaptability and real-time functionality underscore its versatility. Future improvements will expand species coverage, integrate multi-modal sensors, and enhance user interfaces. This research sets a new standard for humane, efficient wildlife management and lays a solid foundation for future AI-driven advancements in human-wildlife interaction.