Smart Anti-Theft Control System Using IoT

The Smart Anti-Theft Control System aims to revolutionize security measures for bank lockers by integrating IoT technology with advanced algorithms. Designed to combat the escalating threat of theft incidents, our system offers real-time detection and prevention capabilities, ensuring the safety of valuable assets. The hardware unit includes key components such as ESP8266 and ESP32-CAM microcontrollers, a PIR sensor, an LCD display, a buzzer, LEDs, and an LDR. Operational in two modes, Day Mode and Night Mode, the system utilizes facial recognition in Day Mode for user authentication and motion detection in Night Mode for threat detection. Upon detecting suspicious activity, the system triggers alarm notifications via Firebase and Telegram, providing visual evidence for swift intervention. Unique anti-intrusion mechanisms, such as the LDR-LED pair and continuous connection verification, enhance system resilience against tampering attempts. Our system offers a proactive approach to security, leveraging IoT, machine learning, and facial recognition technologies to mitigate theft risks effectively. Through comprehensive testing, we validate the system’s accuracy, reliability, and rapid response, demonstrating its potential to enhance security measures in various environments. The Smart Anti-Theft Control System represents a significant advancement in security technology, addressing the critical need for innovative solutions in today’s dynamic threat landscape.

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Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/nkcon62728.2024.10774803
Citations
2
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.43
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article

Smart Anti-Theft Control System Using IoT

Sunilkumar M. Hattaraki, Pooja B Rathod, Mr. Ashish N. Patil, Prashant S Ukkali et al.
2 citations
IoT and GPS-based Vehicle Safety Systems
0.43
article

Smart Anti-Theft Control System Using IoT

Sunilkumar M. Hattaraki, Pooja B Rathod, Mr. Ashish N. Patil, Prashant S Ukkali, Darshan D Shatgar, Priya B Metri
article en
2 citations

Abstract

The Smart Anti-Theft Control System aims to revolutionize security measures for bank lockers by integrating IoT technology with advanced algorithms. Designed to combat the escalating threat of theft incidents, our system offers real-time detection and prevention capabilities, ensuring the safety of valuable assets. The hardware unit includes key components such as ESP8266 and ESP32-CAM microcontrollers, a PIR sensor, an LCD display, a buzzer, LEDs, and an LDR. Operational in two modes, Day Mode and Night Mode, the system utilizes facial recognition in Day Mode for user authentication and motion detection in Night Mode for threat detection. Upon detecting suspicious activity, the system triggers alarm notifications via Firebase and Telegram, providing visual evidence for swift intervention. Unique anti-intrusion mechanisms, such as the LDR-LED pair and continuous connection verification, enhance system resilience against tampering attempts. Our system offers a proactive approach to security, leveraging IoT, machine learning, and facial recognition technologies to mitigate theft risks effectively. Through comprehensive testing, we validate the system’s accuracy, reliability, and rapid response, demonstrating its potential to enhance security measures in various environments. The Smart Anti-Theft Control System represents a significant advancement in security technology, addressing the critical need for innovative solutions in today’s dynamic threat landscape.

BLDE (Deemed to be University) (IN)
Openalex Percentile: Top 40%
IoT and GPS-based Vehicle Safety Systems
0.43
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