Wildlife Fence

Wildlife fences serve crucial roles in protecting biodiversity, securing infrastructure, and ensuring public safety, prompting research into their efficient monitoring and management. Current research focuses on automated inspection methods using computer vision and deep learning, employing models like YOLOv5 for damage detection and other architectures for fence recognition from drone imagery. These advancements aim to improve security, reduce manual labor, and enhance conservation efforts by enabling timely identification of issues and informing targeted interventions. The resulting data-driven approaches offer significant potential for optimizing fence maintenance and mitigating human-wildlife conflict.