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

Year: 2025

Type: article

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.

Source: International Journal of Environmental Sciences

DOI: 10.64252/h5mqkd63

Authors: Md. Masud Rana, Antara Chowdhury, Yadab Sutradhar, Md Al Amin, Shakik Mahmud, Abrar Foysal Irfan, Sakib Farhaz, Mohammad Bodrul Munir

Institutions: Wright State University, Maharishi International University, Sultan Sharif Ali Islamic University, Sher-e-Bangla Agricultural University

Language: English

Topic: IoT-based Smart Home Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4414569767

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