Edge AI Wildlife Detection System for Remote Farm Protection
Project Scope
- Aims to build a compact, low-cost wildlife detection system using Edge AI
on microcontrollers for remote farms - Real-time animal detection and sends alerts via long-range LoRa
communication without needing internet, high accuracy, solar-powered
autonomy, and easy deployment under $50 per unit
Business Challenges
- Deploying AI in remote areas faces challenges like power constraints, lack
of internet, and limited processing resources - Our solution leverages low-power Edge AI with LoRa to ensure real-time,
offline animal detection and alerting - This enables scalable, cost-effective operations for Agri-tech businesses
and forest departments to prevent crop damage
ARi’s Solutions
- The system uses a Kendryte K210 Edge AI microcontroller to detect wildlife
locally using a lightweight AI model - A PIR sensor triggers image capture, and the onboard NPU performs realtime inference without internet connectivity
- Detected intrusions are sent as alerts via LoRa to farmers or forest officials
within a 2 km range - Powered by solar energy, the device operates autonomously in remote, offgrid environments
ARi’s Value Proposition
- Scalable design and affordable BOM (~$42) enable mass deployment and
faster ROI for Agri-tech businesses - Our solution offers real-time wildlife detection using low-cost, low-power
Edge AI embedded devices 3 - Solar-powered autonomy reduces maintenance and ensures 24/7
operation in harsh environments - The system helps prevent crop losses, supporting farmers and forest
officials with timely alerts - It eliminates the need for internet or cloud services, enabling deployment in
remote agricultural and forest areas
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Case Study
Case Studies
Related
https://www.arigs.com/wp-content/uploads/2025/11/Edge-AI-Wildlife-Detection-System-for-Remote-Farm-Protection.pdf