A comprehensive approach is developed for the design and implementation of a solar-powered, Raspberry Pi-based edge processing perimeter alert system capable of detecting unmanned aerial vehicles (UAVs) and enhancing security monitoring. This system is intended to protect key areas such as borders, private property, and critical buildings. The setup uses a Raspberry Pi equipped with Artificial Intelligence (AI) to recognize drones and helicopter sounds. Including PIR motion sensors, microwave radar, and microphone are integrated to detect movement and changes in the monitored area. For long-distance communication, the system employs LoRa/LoRaWAN technology, which operates with very low power, supports long-ranges, and can transmit signals over few meters. The entire unit runs on a solar-charged battery, enabling operation in remote locations without access to electricity. This makes system eco-friendly and suitable for continuous 24/7 security monitoring. Field testing under controlled conditions demonstrates high reliability and precision in UAV detection, validating the feasibility of combining edge AI processing, renewable energy, and low-power communication technologies for decentralized security applications. This architecture provides a scalable, energy-efficient, and environmentally sustainable solution for aerial threat detection and prevention of unauthorized access.
Susmitha et al. (2026) studied this question.