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Theft Detection System
Subject area: Science,Engineering and Technology · Area of research: IOT
Abstract
The advent of Internet of Things is the network of physical objects or ?things? embedded with electronics, software, sensors and network activity that enables objects to collect and exchange data. The IOT allows objects to be sensed and controlled remotely across existing network infrastructures, creating opportunities for more direct integration between physical world and computer based systems resulting in improved efficiency, accuracy and economic benefit. IOT with Raspberry pi has been implemented for Home security through embedded system and an interface has given to all cell phones which belong to members of home. Theft detection is at racking technology used to identify and authenticate tags that are applied. This project has IR sensor that senses the culprit and camera clicks the picture, so that an image along with an alert message is sent to server from which the owner get notified through SMS message. In this system, the doors are automatically locked and alert the surrounding by blowing an alarm as soon as the motion of the intruder is detected. The camera records the video and uploads it on the cloud server. The camera in this system also works in dark environments.
Keywords
Raspberry Pi, IR sensor, Pi camera, Cloud, SMS message.
References
[1] Amol Dhumane, Rajesh Prasad, Jayeshree Prasad, “An Optimal Routing Algorithm for Internet of Things Enabling Technologies”, International Journal of Rough Set and Data Analysi (IJRSDA) ,2017.
[2] Patchava Vamsikrishna, Shaikh Riyaz Hussain, Neelavaratu Ramu, Goli Rohan,” Advanced Raspberry Pi Surveillance System (ARS)”, Proceeding of 2015 Global Conference on Communication Technology. (GCCT 2015)
[3] Sadhna Godbole, Shivani Deshpande, Neha Barve, Sakshi Galim, “Review on Theft Prevention using Raspberry Pi and PIR Sensors”, International Journal of Computer Application, December 2016.
[4] Sharma, Rupam Kumar,” Android Interface Based GSM Home Security System”, Issues and Challenges in Intelligent Computing Techniques. (ICICT), 2014 International Conference on IEEE 2014
How to cite this paper
@article{1702658,
author = {Ruthvik Pimpalkar, Sanjana Kute, Vaibhav More, Prof. M. R. Gorbal},
title = {Theft Detection System },
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {10},
pages = {53-58},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702658.pdf},
abstract = {The advent of Internet of Things is the network of physical objects or ?things? embedded with electronics, software, sensors and network activity that enables objects to collect and exchange data. The IOT allows objects to be sensed and controlled remotely across existing network infrastructures, creating opportunities for more direct integration between physical world and computer based systems resulting in improved efficiency, accuracy and economic benefit. IOT with Raspberry pi has been implemented for Home security through embedded system and an interface has given to all cell phones which belong to members of home. Theft detection is at racking technology used to identify and authenticate tags that are applied. This project has IR sensor that senses the culprit and camera clicks the picture, so that an image along with an alert message is sent to server from which the owner get notified through SMS message. In this system, the doors are automatically locked and alert the surrounding by blowing an alarm as soon as the motion of the intruder is detected. The camera records the video and uploads it on the cloud server. The camera in this system also works in dark environments.},
keywords = {Raspberry Pi, IR sensor, Pi camera, Cloud, SMS message.},
month = {April},
}