Face Recognition is an intelligent service that uses computers to process, analyze, and understand facial images based on human facial features. It provides services through open Application Programming Interfaces (APIs). You can obtain the face recognition results by accessing and calling APIs in real time. It recognizes and compares faces automatically and provides you with the similarity degrees, thereby improving service efficiency. Currently, Face Recognition provides three sub-services, that is, Face Detection, Face Verification, and Face Retrieval.
- Face Detection
Face Detection can accurately locate faces in an image and identify the size of each face. With this sub-service, you can detect front faces and side faces with different tilts in the image. It is a basic service in the face recognition field and applies to various scenarios such as security protection, electronic identity, and criminal investigation of public security.Figure 1 An example of Face Detection
- Face Verification
Face Verification returns the similarity degree between two faces in two images by comparing the facial features. If the two images contain multiple faces, the system compares the similarity between the largest faces in the two images.Figure 2 An example of Face Verification
- Face Retrieval
Face Retrieval provides APIs for operating face sets. You can use specific APIs to create a face set, add facial images to the face set, search for N facial images that are most similar to the input one, delete facial images you no longer use from the face set, and delete the face set you created. This sub-service can be used in enterprise and residential security management, criminal investigation of public security, and other scenarios.Figure 3 An example of Face Retrieval
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