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This improves the accuracy and efficiency of the entire process. For example, one network is responsible for detecting a face in a photo, another for determining key points for the correct orientation of the image, and a third checks whether the face really belongs to a real person to exclude photo or video fraud.

The main feature of the technology from the point new zealand telegram number database of view of machine learning is the task of recognizing faces on an open set. In other words, the system must be able to work on images of people it has not seen during its training.

To do this, the neural network analyzes the image and creates a unique biometric template - a mathematical representation of the characteristics of a specific person. When attempting to identify or verify, the network compares the new template with those already in the database to find a match or confirm the uniqueness of the face.

Related: How to Make a Maintain Digital Hygiene When Working with Corporate Email Where is the technology applied? Facial recognition technology is used in a variety of industries, from security and medicine to retail and finance.