Open AccessMissing Person Detection Using AI
Author(s) -
L. Basavaraj
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37270
Subject(s) - upload , face (sociological concept) , computer science , facial recognition system , matching (statistics) , process (computing) , internet privacy , government (linguistics) , artificial intelligence , face detection , database , computer security , world wide web , pattern recognition (psychology) , sociology , mathematics , social science , linguistics , statistics , philosophy , operating system
In the world, a countless number of people are missing every day which includes kids, teens, mentally challenged, old-aged people with Alzheimer’s, etc. Most of them remain untraced.[1] This paper proposes a system that would help the police and the public by accelerating the process of searching using face recognition. When a person goes missing, the people related to that person or the police can upload the picture of the person which will get stored in the database. The face recognition model in our system will try to find a matching the database with the help of face encodings. It is performed by comparing the face encodings of the frames in the video streaming to the face encodings of the images in the database. If a match is found, it will be notified to the police and the people related to that person with the details of the person found. This project is really helpful as concerned for the government in order to lessen the time and man power spent in finding the missing persons. The face recognition model that we have developed maintains an accuracy of 94%.