Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas
文献类型：期刊论文
| 作者 | Chen, Pengyu3,4; Fei, Teng4; Kupfer, John A.3; Du, Yunyan2; Yi, Jiawei2; Li, Yi1 |
| 刊名 | URSUS
 |
| 出版日期 | 2026-04-01 |
| 卷号 | 37期号:E6页码:e6 |
| 关键词 | bear detection and deterrence brown bear computer vision deterrence systems human-bear conflict Internet of Things Tibetan Plateau Ursus arctos pruinosus |
| ISSN号 | 1537-6176 |
| DOI | 10.2192/URSUS-D-25-00010 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Human-bear conflicts on the Tibetan Plateau threaten both local livelihoods and the conservation of Tibetan brown bears (Ursus arctos pruinosus). To address this challenge, we developed a low-power, network-independent deterrence system that combines computer vision with Internet of Things (IoT) hardware. The system integrates a YOLOv5-MobileNet detection model deployed on a low-power edge artificial intelligence (AI) board with a solar-powered bear spray device. We compiled a data set of 1,243 wildlife images (including 795 bears with 100 infrared captures for nighttime detection, plus other common objects and animals such as mastiffs, yaks, humans, and vehicles), from which 80% were used for training and 20% for validation. Validation showed robust performance (mean average precision = 91.4%, recall = 93.6%). In 100 controlled activation tests involving simulated approaches by bears, humans, and other animals, the spray deployed within 0.2 seconds of detection with 97.2% accuracy, confirming timely and reliable responses. A 30-day field trial in Zadoi County, Qinghai Province, China, recorded 3 successful deterrence events without false activations. By using energyefficient components and ensuring continuous and stable system operation, this solution provides a practical, sustainable, and scalable approach to mitigating human-bear conflicts, effectively enhancing human safety and bear conservation in remote areas without network or grid coverage. |
| URL标识 | 查看原文 |
| WOS关键词 | TRAP |
| WOS研究方向 | Zoology |
| 语种 | 英语 |
| WOS记录号 | WOS:001741353000001 |
| 出版者 | INT ASSOC BEAR RESEARCH & MANAGEMENT-IBA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221494]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Fei, Teng |
| 作者单位 | 1.Chinese Acad Sci, Inst Zool, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 3.Univ South Carolina, Dept Geog, Columbia, SC 29208, USA; 4.Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430070, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Pengyu,Fei, Teng,Kupfer, John A.,et al. Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas[J]. URSUS,2026,37(E6):e6. |
| APA | Chen, Pengyu,Fei, Teng,Kupfer, John A.,Du, Yunyan,Yi, Jiawei,&Li, Yi.(2026).Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas.URSUS,37(E6),e6. |
| MLA | Chen, Pengyu,et al."Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas".URSUS 37.E6(2026):e6. |
入库方式： OAI收割
来源：地理科学与资源研究所
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