Artificial intelligence has been to provide facial recognition thermometer support for many cases, from security purposes to authentication, even natural language programming (NLP). Enterprise and security agencies can customize for specific cases to these algorithms.
Face recognition can be used to help to protect the safety of sensitive areas, such as airports, government facilities and corporate office. Here, the artificial intelligence allow passengers security agencies to identify and analyze the expression. This allows the security personnel to analyse the situation and the intention of the passengers.
With European unio member states to develop entry/exit (EES) system as an example. This is an intelligent monitoring system based on artificial intelligence, helps to follow-up the eu external border short-term visa holder.
Also, all over the world many intelligent face detection android monitoring system using artificial intelligence to enhance tracking. Face recognition based on artificial intelligence is another key cases the user authentication.
In today's online world, the user will need to provide authentication credentials (such as a user name and password) to access certain sites or services is becoming increasingly commonplace. Through the use of facial recognition technology, however, do not need to enter any personal information that can be quickly and easily verify the identity of the user.
Face recognition can help to track and monitor individuals or objects of interest. This can be used for a variety of purposes, such as safety monitoring, fraud detection and monitor the position of children or pets.
To interact with people rely increasingly on face recognition identification computers, able to handle the people natural interactions with the computer is becoming more and more important. For example, you can use for facial recognition and voice recognition based on artificial intelligence to create both intuitive and visual user interface.
Face recognition based on artificial intelligence (ai) has been widely used in different business fields. It is not limited to security purposes, if executed properly, can help to enhance the user experience. However, facial recognition technology are integrated into the enterprise's business model and the existing in the application may be different with other applications.
Analysis before the implementation of face recognition, therefore, the goal of enterprise and existing applications, system and structure becomes very important. This analysis also helps to support custom artificial intelligence algorithm of face recognition system.
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