BFMS Phase 2 is an advanced initiative aimed at enhancing forest surveillance through artificial intelligence Building on the foundation of Phase 1, which involved the installation of CCTV cameras across the Begur forest region, this phase introduces an AI-powered model capable of analyzing live footage to detect the presence of animals and unauthorized human activity. The system automatically generates instant alerts, enabling forest officials to respond quickly to potential threats, support wildlife conservation, and prevent illegal intrusions. This phase marks a significant step toward smarter, technology-driven forest protection
Agenda:
The agenda includes a brief recap of Phase l, highlighting the installation and coverage of surveillance cameras. It then introduces the objectives of Phase 2, focusing on the integration of Al for real-time detection of animals and human activity. The system's architecture and alert mechanism will be explained, along with the technologies used. Key benefits such as improved wildlife monitoring and forest protection will be discussed. followed by the challenges faced and strategies to overcome them. The session will also cover future enhancement plans and conclude with a summary and next steps for implementation.
Bldg: Forest station, Begur forest, Mananthavady , Kerala, India
