Although OpenCV isn’t an API, it still deserves mention in this list. With over 3,000 optimized computer vision algorithms, there are a lot of options for how developers can make use of this open-source computer vision and machine learning library.
Will you be using any of these APIs in your projects? Leave a comment down below with the projects you’re working on using facial recognition.
The Azure Cognitive Services Face API provides algorithms that are used to detect, recognize, and analyze human faces in images. The ability to process human face information is important in many different software scenarios. Example scenarios are security, natural user interface, image content analysis and management, mobile apps, and robotics.
The Face API provides several different functions. Each function is outlined in the following sections. Read on to learn more about them.
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Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.