| Autor: |
Rao, S. Venkata Achuta, Kumar, Samudrala Vinay, Damudi, Fahad Z., Nikhil, Kunchakuri, Nazimuddin, Mohammed |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2796 Issue 1, p1-8, 8p |
| Abstrakt: |
Facial recognition is a way to identify or confirm a person's identity using their facial features, through pre - configured software. This can be done in real-time and also through previously captured videos and images. Facial recognition has a wide range of uses starting from smart phones to Law enforcement uses. It can be categorized under the biometric security form where it detects human faces for security or verification purposes. Facial recognition employs a machine learning algorithm that finds captures and analyses facial features. Initially, the system detects the features of the human face followed by an analysis of the captured features. Then it matches the same with existing images and their features stored in the database. It authenticates the user if a match is found and disallows him/her if a match is not found. Facial recognition systems are very effective and reliable for many purposes, generally used for biometric security, attendance, unlocking smart phones, identifying people, and many other uses. The proposed system removes the dependence of users on heavy CCTV cameras and instead could be used by any camera, even those built in smart phones. In other words, smart phones could be placed at strategic points instead of installing a CCTV which is usually fixed at oneplace and could not be removed. The proposed system is much faster in capturing the information and relays the results faster. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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