STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Instrumentation Technology & Innovations Review Article

Enhancing Campus Security Using IOT Sensors

  1. Suhani Subhash Maske Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune
  2. Prafull Vikas Bhadale Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune
  3. Manasi Tukaram Chavan Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune
  4. Payal Rohidas Jadhav Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune

Abstract

Security within university campuses continues to be of paramount importance to learning institutions, with conventional CCTV systems tending to be slow and prone to operator errors. The project discusses an IoT system with Flutter, ESP32-CAM, flame and noise sensors, and buzzer for an efficient real-time surveillance and timely emergency response. The system can detect abnormal conditions like loud noises and fire risks, sending alarms and enabling live video streaming over Wi-Fi. The sensor readings and video streams are sent to a Flutter mobile app based on Firebase Realtime Database or MQTT. Security guards can see real-time events, thus minimizing response time and enhancing security. The mobile app provides an easy-to-use platform for viewing alarms, accessing live camera streams, and receiving emergency alerts using Firebase Cloud Messaging (FCM). Low latency and high precision were designed into the system to provide instant and faultless communication between IoT devices and the mobile app. Scalability was also a top priority, with provision for adding more security features and sensors as required. Future add-ons include AI-driven anomaly detection, motion sensors, analytics in the cloud, and blockchain-based security for tamper-free data storage. By combining IoT and mobile technologies, the project greatly enhances campus security through automated threat detection and response. The system reduces human reliance, improves situational awareness, and is a cost-saving solution for educational institutions.

Keywords

References (11)

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