z-logo
open-access-imgOpen Access
Digital Forensics based Defence Security System
Author(s) -
Akhil Patil,
Aditya Sakhare,
Amiruddin Samani,
Mahesh Prajapati
Publication year - 2022
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.2022.41883
Subject(s) - computer science , fingerprint (computing) , initialization , identification (biology) , face (sociological concept) , facial recognition system , digital camera , identity (music) , facial motion capture , artificial intelligence , computer vision , fingerprint recognition , face detection , computer security , pattern recognition (psychology) , social science , botany , physics , sociology , acoustics , biology , programming language
This project addresses the structure, implementation and application of digital forensics security System with the assistance of face recognition and fingerprint identification which might be employed in Military Bases and other defence bases. Forensics munition using face and fingerprint recognition may be a system during which tracking of daily activity of officers is in an automatic manner and done by the program itself which is finished by the popularity and identification of the face with the assistance of a camera module which is connected with the system. The camera module helps the system with the initial a part of the program which is initialization of the camera on which the system can perform its operation. When the face comes before of the camera and provides their fingerprints, the program compares the face within the camera with the photographs and detect the fingerprint within the database and recognizes it. These image data are basically known data for the system and is that the data on which the system is trained. The system, if recognizes the face after the comparison with the database, displays the name of the person’s face as an alternative displays “UNKNOWN” if the faces don’t match. Then it tracks the identity of the person file of only the matched faces. This data is stored in an excel file format safely

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here