Article

SMART SECURITY AND INTRUSION DETECTION SYSTEM USING RASPBERRY PI TECHNOLOGY

Author : 1 Junaid Ul Ahsan, 2Dr. R. Yadagiri Rao, 3Raghavendra Gadala, 4Karnam Ramya

DOI : 10.64771/jsetms.2025.v02.i12.pp239-248

The increasing need for reliable and intelligent security solutions has driven the development of smart surveillance and intrusion detection systems capable of providing real-time monitoring, threat identification, and automated response mechanisms. Traditional security systems often rely on manual monitoring and standalone sensors, which may suffer from delayed response times, limited scalability, and reduced effectiveness in dynamic environments. Recent advances in embedded systems, Internet of Things (IoT) technologies, wireless communication, and edge computing have enabled the creation of costeffective and intelligent security platforms that offer enhanced situational awareness and proactive threat detection. Among these technologies, the Raspberry Pi has emerged as a versatile and affordable computing platform for implementing smart security applications due to its processing capability, connectivity options, and compatibility with various sensors and cameras. This study proposes a Smart Security and Intrusion Detection System Using Raspberry Pi Technology that integrates motion sensors, surveillance cameras, wireless communication modules, and intelligent monitoring algorithms to provide comprehensive security coverage. The proposed framework continuously monitors protected environments, detects unauthorized access attempts, captures real-time images and video streams, and generates instant alerts to authorized users through network-connected devices. The system employs sensor fusion techniques and automated event analysis to improve detection accuracy while minimizing false alarms. Furthermore, cloud connectivity and IoT-based communication enable remote monitoring and centralized security management from any location. The performance of the proposed system is evaluated using key metrics such as intrusion detection accuracy, response time, alert delivery efficiency, system reliability, and energy consumption. Experimental results indicate that the Raspberry Pi-based security framework achieves high detection accuracy, rapid response capability, and reliable operation under varying environmental conditions. The integration of intelligent monitoring, automated notifications, and real-time surveillance significantly enhances overall security effectiveness compared to conventional monitoring systems. The study concludes that Raspberry Pi technology provides a flexible, scalable, and economically viable platform for developing nextgeneration smart security solutions suitable for residential, commercial, industrial, and institutional environments.


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