MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541122509 A) filed by New Prince Shri Bhavani College Of Engineering And Technology; Ms. C. Esther Hephzibah; Ms. M. Nisha; Ms. V. Priyadharshini; and Mrs. G. Sheeba, Chennai, Tamil Nadu, on Dec. 5, 2025, for 'ai-powered smart surveillane system for wildlife and anti-poaching using yolo on rasphery pi.'
Inventor(s) include Ms. C. Esther Hephzibah; Ms. M. Nisha; Ms. V. Priyadharshini; and Mrs G. Sheeba.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Illicit poaching and habitat encroachment pose serious threats to wildlife populations worldwide. Manual patrolling and static camera setups are examples of traditional surveillance techniques that are frequently ineffective, slow, and lack real-time response. To keep an eye on wildlife activity and stop illegal human entry into protected areas, there is a growing need for intelligent, automated, and reasonably priced surveillance systems. An effective strategy to deal with this issue is the combination of embedded systems and artificial intelligen~,;e (AI). This project suggests a Raspberry Pi-based AI-powered smart surveillance system that uses the YOI,0 (You Only Look Once) object detection algorithm. In order to identify and categorize wildlife as well as possible threats like poachers, the system uses a camera to record live video and processes it in real time. Because of its reputation for quick and precise object detection, YOLO is perfect for real-time monitoring in dynamic settings like forests. The system can distinguish between humans and animals with high accuracy thanks to a pretrained model that has been refined on pertinent datasets. Because of its low cost, portability, and low power consumption, the Raspberry Pi is a good choice for deployment in isolated locations without reliable infrastructure. The Raspberry Pi runs the YOLO model locally lowering reliance on cloud computing or internet access. The system can notify forest authorities via SMS, email, or loT when it detects suspicious activity or unauthorized human presence, allowing for prompt action and the avoidance of poaching incidents. By providing a scalable, intelligent, and economical solution for ongoing monitoring, this project seeks to support wildlife conservation. The system enhances the safety of endangered species, guarantees round-the-clock surveillance, and helps forest officials make proactive decisions by fusing computer vision and embedded technology. This AI- based strategy is a step forward in the effective and sustainable use of contemporary technology to preserve biodiversity and stop illicit poaching."
Disclaimer: Curated by HT Syndication.
