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.
Project 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.
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Edge-AI Wild Animal Farm Intrusion Detection & Ultrasonic Deterrent Sentinel.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.