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Animal Intrusion Detection Model Based On Temporal Convolutional Network.
Author Name

Jaishri C, Abinesh R and Naveen V


This project proposes an innovative wildlife management system utilizing computer vision and machine learning for precise animal detection and ultrasound-based repelling. Integrated with edge computing, the system offers real-time responsiveness to mitigate crop raiding while minimizing environmental impact and addressing financial constraints. The solution aims to safeguard crops and public infrastructure by effectively deterring various wildlife species. Additionally, a user-friendly dashboard enables incident monitoring and alerts. This adaptable solution extends beyond agriculture to diverse settings, providing a balanced approach to wildlife protection. Keywords— Species-specific Repellent, Wildlife Management, Computer Vision, Temporal Convolutional Network (TCN), Interactive Dashboard.

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