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AI Face Recognition

Although it is an interdisciplinary discipline with many facets, recent advances in deep learning and machine learning are bringing it into almost all facets of the IT sector.

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AI Face Recognition

Using a combination of algorithms, facial recognition technology can recognize individuals in a static image or video. Although this technology has been around for a while, it has recently grown significantly in popularity and innovation.

The incorporation of artificial intelligence (AI) into facial recognition systems is one such advancement. Intelligent software powered by AI can instantly search face databases and match them to one or more faces found in a scenario. You can receive incredibly accurate findings instantly; typically, systems provide 99.5% accuracy rates on open standard data sets.

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Features
    • Real-time identification.
    • Spoofing prevention techniques.
    • Reduced gender or racial bias as a result of training models on millions of faces.
    • Can be applied to several cameras.


    • The fundamental working principle of AI for facial recognition is that you start with a tagged feature set. In essence, you start with pictures of the people in them that have already been hand-matched correlations. A person's face and the rest of their identification need to be manually correlated at first.