International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals

Author(s) Nupur Shelokar, Prashant Surwase, Rohan Jadhav, Aneesh Lohana, Vishal Jaiswal
Country India
Abstract Fast and accurate user identification and verification is always desirable. Face recognition, which is machine recognition of a person's face by analyzing patterns on facial features, is becoming important for security and validation. Less interaction from users contributes high enrolment as well as easily applicable for current technology further adds its importance. In this regard, we propose a Multi-tasked Convolutional Neural Network (CNN) based face recognition technique previously done with eigenfaces but CNN has better accuracy. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. This system will decrease crimes and ensure security in our society.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-31
Cite This Facial Recognition Technology for Identifying Missing Individuals and Wanted Criminals - Nupur Shelokar, Prashant Surwase, Rohan Jadhav, Aneesh Lohana, Vishal Jaiswal - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21374
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21374
Short DOI https://doi.org/gtw6r8
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