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Problem Statement

In the era of escalating poaching, illegal logging, and human-wildlife conflict, threats to wildlife and critical habitats have reached alarming levels. Iconic species and tropical forests are constantly endangered, yet conservation agencies often lack affordable technology to monitor and respond effectively in remote areas. To address this, a reliable alert system-based camera became the need of the hour.

Customer Requirements

The customer required a rugged, AI-powered camera that could operate autonomously in remote, forested areas. The device needed to be battery-operated and capable of functioning for extended periods on a single charge, with Ingress protection against dust and water. It required advanced night vision to capture clear images in low light, while AI-based detection would identify animals, humans, and vehicles with accuracy. The camera needed to be compact and camouflaged to blend into natural surroundings, reducing the risk of tampering. Continuous image transfer for real-time monitoring was essential to enable quick response to potential threats.

Key Challenges Faced by VVDN

  • Compact and durable design with multiple sensors integrated into a small form factor while preventing interference.
  • Selecting the right camera processor for optimal performance and AI analytics.
  • Camera tuning for low-light and night conditions in dense forest environments.
  • Achieving long battery life and low power consumption to reduce maintenance in remote areas.
  • Designing to withstand extreme weather, wildlife interactions, and tampering.
  • Ensuring reliable performance and data accuracy in areas with minimal or no connectivity.