Computer Vision on Identifying Persons under Real Time Surveillance using IOT

Abstract

Real time suspicious activities have been taken place every day at public places which threatens people, for that identification of Criminal person or missing person is necessary for police to take necessary action immediately so the crime rate will be reduced. This Project helps police by identifying of persons from datasets provided and trained and matches using face recognition using Deep neural networks which gives better accuracy. After the identification it detects and sends message to police with respective details and by sharing location currently person spotted. This done by recognizing and identifying the persons from database using face recognition Algorithm to detect faces of person accurately. It can also able to detect the person from 14 feet distance and tells the person is spotted or not. this system really useful when we try to solve real time problems occurred immediately and all actions can be taken place by IOT.