What Is Face Recognition
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 the following sub-services:
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.
Face LiveDetect detects a living figure in a video and the sequence of the figure's actions. If multiple faces appear, the largest face is selected.
Labels and clusters faces with the combined functions of face detection, facial gesture recognition, facial and figure feature recognition, and face retrieval algorithms. Users benefit from the ability to retrieve faces by label in real time.
This sub-service is applicable to scenarios with relatively fixed members, such as home monitoring and real-time, automatic recognition of unfamiliar faces in enterprises' monitoring videos. It provides the following capabilities:
- Member management: Includes family member input, querying, and deletion functions. The input member images will be provided to user applications as the member labels.
- Facial image labeling: Images or videos captured by cameras are dumped to the Object Storage Service (OBS) by user applications and then connected to this service through the terminal-side report interface to implement automatic image labeling. In addition, the label data can be associated with the videos from which the images are generated.
- Label-based retrieval: Includes label ID list querying based on face sets and associated data querying based on label IDs.
Next Article: Application Scenarios
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