Edge-AI Wild Animal Farm Intrusion Detection & Ultrasonic Deterrent Sentinel
Solar-powered farm boundary camera node identifying boars, elephants, and monkeys via TinyML vision models and firing species-specific ultrasonic frequencies.
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Project Technical Overview
A standalone outdoor farm protection unit equipped with a Raspberry Pi 5 / ESP32-CAM module, high-efficiency PIR heat sensor, multi-frequency 20kHz–60kHz ultrasonic transducer, strobe flashers, and GSM SMS farmer notification. ### Real-World Problem Crop destruction by wild animals causes billions in farm losses annually without humane, non-lethal deterrent methods. ### Practical Student Solution Uses on-device computer vision to identify the specific animal species in under 200ms and triggers safe ultrasonic acoustic frequencies to repel them without physical harm. ### Hardware Modules & Sensors - ESP32-CAM / Raspberry Pi SBC - PIR Thermal Trigger - Multi-Frequency Ultrasonic Siren - High-Intensity Strobe LEDs - SIM800L GSM Module - 10W Solar Node ### Commercial & Institutional Value Extremely popular for ECE/CSE AIoT capstone projects and rural hackathons.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.