ACL Digital Empowered Wildlife Conservation with AI-Driven Animal Recognition
Overview
The Gujrat State Government aimed to enhance its wildlife conservation efforts in the Forest National Park through a cutting-edge, non-invasive software solution. The system needed to streamline lion recognition, automate counting, and create a comprehensive database to effectively monitor the Asiatic lion population.
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Challenges
Developing a system for accurate and automated identification of individual lions
Establishing a comprehensive database for lion demographics, including life status, last spotted location, and veterinary history
Ensuring a non-invasive approach to avoid disrupting the natural behavior of the lions
Maintaining high accuracy in lion recognition within their natural habitat
Solutions
- An interactive user interface (UI) and dashboard for seamless user interaction.
- Image storage capabilities to maintain a record of lion sightings.
- A rule engine powered by artificial intelligence for precise lion identification and monitoring.
- Advanced deep learning algorithms to ensure accuracy in recognition and automated counting.
Benefits
Enhanced Operational Efficiency
Streamlined face recognition processes for Asiatic lions, significantly improving conservation management
Non-Invasive Monitoring
Leveraged technology to observe lions in their natural habitat without affecting their behavior or environment
Comprehensive Data Management
Enabled the creation of a centralized database for lion demographics and veterinary records, enhancing data-driven decision-making
