Development of an Intelligent Animal Detection and Notification System Using AI and IoT for Smart Farm Security
Abstract— This paper presents the design and development of an intelligent animal detection and alert system for farm security using Artificial Intelligence (AI) and Internet of Things (IoT) technologies. The system is designed to monitor restricted or sensitive farm areas through automated real-time detection and notification. A Passive Infrared (PIR) sensor is integrated with an AI-enabled camera to detect motion and initiate monitoring processes automatically. Upon motion detection, the system activates visual and audio alerts, captures images, and sends remote notifications via the Telegram platform. The proposed system utilizes a Raspberry Pi 4 Model B as the main processing unit and a Sony IMX500 intelligent vision sensor capable of performing on-sensor AI inference for object detection. The PIR sensor serves as the primary trigger mechanism to improve power efficiency and reduce unnecessary processing. The system software is developed using the Python programming language with GPIO, subprocess, and HTTP communication libraries. Experimental results demonstrate that the developed system is capable of performing reliable motion detection, automated alert activation, image capturing, and near real-time notification delivery effectively. The proposed system also provides a low-cost, flexible, and scalable alternative to conventional surveillance systems for smart farming applications. Overall, the integration of AI and IoT technologies in this project demonstrates significant potential for improving automated farm security and monitoring systems. Keywords— Artificial Intelligence, Internet of Things, Farm Security, Animal Detection, Raspberry Pi, Smart Agriculture
用PIR触发+IMX500传感器端AI推理降低功耗，并通过Telegram推送告警，为低成本农场周界防护提供可复现原型方案，但实验规模与野外鲁棒性未充分披露。