IoT Based Theft Detection System Using Machine Learning Algorithm

EasyChair Preprint 8224

Abstract

In the last few years, security plays a predominant role in human life. At this time, the cost is the greatest common factor. The traditional security systems trigger alarms when a security breach is detected. The breach is continuously monitored and recorded by the security personnel. In these methods, the camera is which occupies more storage space. The project aims to develop an IoT-based theft detection system using machine learning which detects the presence of humans only. The PIR Motion detection sensor detects the moment of the object and identifies it as a human using a Machine Learning algorithm. After the presence of the person is detected, the captured image or video is sent along with the alert message/voice call. The data is stored in the cloud for future reference.

Keyphrases: MachineLearning, PIR Motion detection sensor, security breach

@booklet{EasyChair:8224,
  author    = {Robbi N.V.A.S Manikanta and T D N S S Saraveswararao and K N H Srinivas},
  title     = {IoT Based Theft Detection System Using Machine Learning Algorithm},
  howpublished = {EasyChair Preprint 8224},
  year      = {EasyChair, 2022}}