• Bharath Gowda R
• Kuppa Shashank
• Piyush Nahar
• Sandeep R C
• Mr. Byre Gowda B K

Biometrics are revolutionised by artificial intelligence algorithms that analyse and validate biological characteristics such as voice, locomotion, fingerprints, iris patterns, and face features. By removing specific components from biometric data, these algorithms improve system robustness, speed, and accuracy. AI's flexibility makes it possible for it to learn and grow over time, which is essential for changing security requirements. Real-time identification is enabled by the efficient handling of massive data volumes. Additionally, AI ensures reliability by mitigating issues such as environmental changes. The incorporation of artificial intelligence (AI)-powered biometrics reinforces security protocols across various domains, including law enforcement, finance, and access control. Improved security, faster procedures, and better user experiences across domains are all promised by this synergy between AI and biometrics.

Biometrics , access control , face recognition, Convolution neural network , tensor flow , android app

"SECURE ACCESS WITH A SMILE - FACIAL RECOGNITION ACCESS CONTROL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g231-g235, May-2024, Available :http://www.jetir.org/papers/JETIR2405629.pdf

"SECURE ACCESS WITH A SMILE - FACIAL RECOGNITION ACCESS CONTROL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg231-g235, May-2024, Available at : http://www.jetir.org/papers/JETIR2405629.pdf