Fusing Technology And Security: Blending Iot, Real-Time Monitoring, And Human Mimicry For Environmentally Sustainable Safety

Abstract

Security concerns in residential, commercial, and industrial environments have necessitated the development of innovative, adaptive solutions that integrate cutting-edge technologies. This study presents a novel IoT-enabled, AI-driven security device that combines advanced human detection using a customized YOLOv7 model, sound mimicry, adaptive lighting, and solar-powered sustainability. The device offers real-time surveillance, behavioral analysis, and dynamic responses to security threats while prioritizing energy efficiency and environmental adaptability. Tested across multiple locations in Bangladesh, the system achieved a detection accuracy of 95.4% and a false alarm rate of just 2.5%, demonstrating superior performance in challenging environments. Moreover, the integration of psychological deterrence through sound mimicry and eco-friendly operation via a solar-powered hybrid system addresses critical gaps in existing security technologies, also ensuring environmental sustainability and reduced carbon footprint. The findings underscore the potential of this system as a scalable, sustainable, and highly effective solution for modern security needs.