Find Missing Person Using Artificial Intelligence
Author(s):
Amol Naikoji, Rashmi Tundalwar, Arati Dandvate
Keywords:
Tensor Flow Face recognition, Face Recognition, missing person, Recognition
Abstract
Face recognition is a biometric-grounded technology that mathematically charts a particular person’s or individual’s facial features and stores all that data as a face print. By using this fashion, the information of the face of a person is saved mathematically or in the format of graphs in the database, which is used for detecting that particular face. Face recognition model in our system will find a match of that person in the database. If a match is found, it will be notified to the police and the guardian of that person. The face recognition model in our system will try to find a match in the database with the help of Tensor Flow Face recognition algorithm. It is performed by comparing the face encodings of the uploaded image 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 along with the position of where the person is found. Face recognition models in Deep and Machine Learning are primarily created to ensure the security of identity. There are several frameworks used in building a face recognition model and one of them is Tensor Flow. The Tensor Flow face recognition model has so far proven to be popular. Using Tensor Flow to build face recognition and discovery models might bear trouble, but it is worth it in the end. As mentioned, Tensor Flow is the most used Deep Literacy framework and it has pre-trained models that fluently help with image bracket.
Article Details
Unique Paper ID: 160774

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 1193 - 1198
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers