Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 6 — Issue 2 — June 2024

IoT based Smart Surveillance with Landmine Detection and Alerts

https://doi.org/10.36548/jucct.2024.2.010
Riyazuddin K.
Assistant professor, Department of ECE, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Andhra Pradesh, India
Siva Krishna R.
Department of ECE, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Andhra Pradesh, India
Nikitha K.
"Department of ECE, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Andhra Pradesh, India "
Poojitha C.
"Department of ECE, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Andhra Pradesh, India "
Prasanna G.
"Department of ECE, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Andhra Pradesh, India
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How to Cite

K., Riyazuddin, Siva Krishna R., Nikitha K., Poojitha C., and Prasanna G. 2024. “IoT Based Smart Surveillance With Landmine Detection and Alerts”. Journal of Ubiquitous Computing and Communication Technologies 6 (2): 204-13. https://doi.org/10.36548/jucct.2024.2.010.
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Keywords

— Wi-Fi
— Internet of Things (IoT)
— Landmine Detection
— Surveillance
— Security Systems
— Alert Systems
Published: 28-06-2024

Abstract

The research uses a Node MCU microcontroller and Internet of Things (IoT) technology to create a robot for handheld applications. The robot has a night vision camera that connects to the internet, allowing it to take photos and videos from a distance, even at night. It also has a metal detector to find landmines and an infrared (IR) sensor to detect obstacles and prevent accidents. These sensors immediately notify and alert users through LCD screens, messages, and buzzers. The research aims to develop a robot with increased accessibility and user friendliness by offering simple manual and operator controls for robotic inspection. The high-definition camera provides clear photos and videos for detailed analysis of any suspects, helping to make informed decisions quickly and improve situational awareness. On detecting a landmine, the robot alerts the user through the email and displays the information on the LCD screen, enhancing the safety at checkpoints. The IR sensor helps the robot avoid obstacles by alerting the user and sounding a buzzer when something is detected at a close distance. This feature allows the robot to navigate complex environments safely. Overall the robot is designed to provide a smart surveillance by offering an immediate threat response to handle the security concerns in various situations.

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