📞 +91-7667918914 | ✉️ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2023

ARTIFICIAL INTELLIGENCE BASED FACE RECOGNITION FOR SECURITY SYSTEM

Dr. Levy M, Dwarakanath T, Chethan P, Akshay B G

DOI: 10.17148/IJARCCE.2023.125231
Abstract – In order to achieve the appropriate security, today’s institution need a number of individuals who have received specialized training. These employees make mistakes that could lower the security level because they are fallible human beings. A Face recognition security system has been suggested as a potencial remedy for the remedy mentioned issue because it can identify intrusion into restricted or high-security location and reduce the human error. The hardware component and software component make up this system. The camera make up the hardware component and face detection and algorithms make up the software component. When a  person enters the restricted area, the camera shoots a images that are then submitted to the programme for analysis and database.  Keywords Digital Image Processing, Face Detection, Face Recognition, Biometrics 
👁 18 views
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite:

[1] Dr. Levy M, Dwarakanath T, Chethan P, Akshay B G, “ARTIFICIAL INTELLIGENCE BASED FACE RECOGNITION FOR SECURITY SYSTEM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125231

Share this Paper