Face recognition applet development_Introduction to WeChat H5 face recognition development

Face Recognition is based on face detection, analysis and comparison technology in images or videos, providing face detection and positioning, face attribute recognition and face comparison for your private data provided that you have been authorized. Independent service module. It can provide developers and enterprises with high-performance online API services, which can be used in various scenarios such as face AR, face recognition and authentication, large-scale face retrieval, and photo management.

The facial recognition applet is developed to protect mobile phone applications through facial recognition. The facial recognition program identifies the age of men and women based on facial features in photos. The amazing image recognition technology can accurately identify the faces in the photos. Feature to read some user information.

Infocode is a small program development company specializing in Lan Chang information technology, providing you with face recognition small program development_WeChat H5 face recognition and other customized development services. For more information on face recognition custom development, please contact Lan Chang customer service

How to implement facial recognition app development

Face recognition applet development

The main content of the development of face recognition A probably includes: facial detection, live algorithm detection, 3D detection and other functional modules. Face detection locates where the face is, and detects whether there are no faces or multiple faces during the live body process, which can be effective Prevent switching between two people or switching between people and photos; 3D detection verifies whether the collected portrait is a three-dimensional portrait, which can prevent flat photos, photos with different degrees of curvature, etc. It can also encrypt the collected photos to ensure information security.

Generally used functions of face recognition interface: (Take Alibaba Cloud face recognition interface as an example)

Face detection and facial features positioning
Identify whether there is a face in the image you have authorized and give the face area. After face detection, return the coordinates of the detected face rectangular frame. It can support the simultaneous detection of up to thousands of faces, support plane 360-degree rotating face detection, and support left and right side face detection up to 90 degrees. At the same time, the key points of facial features in the image are extracted in milliseconds, and 105 key points of the face are identified and positioned.
Face recognition applet development_Introduction to WeChat H5 face recognition development
Face attribute recognition
Based on authorized face detection, identify the gender (male/female), age, expression (smiling/not smiling), and glasses (wearing/not wearing) of each detected face. kind of attribute. Returns the 1024-dimensional deep learning features of the face. Based on this feature and according to the feature comparison rules, users can achieve high-performance face recognition. Our algorithm achieved the top three recognition accuracy in the industry on the public test set lfw.
Face recognition applet development_Introduction to WeChat H5 face recognition development
Face comparison 1:1
Based on the two images that have been authorized to be input, the face in the two images can be detected, and the largest face in the two images can be selected for comparison to determine whether it is the same person. At the same time, the coordinates of the rectangular frame of the two faces, the confidence of the comparison, and the confidence thresholds of different misrecognition rates are returned.
Face recognition applet development_Introduction to WeChat H5 face recognition development
Face Search 1:N
Based on the authorized input image or video, it is compared with the customer’s authorized registration database to achieve 1:N face recognition. It is suitable for face login, VIP face recognition and other scenarios that do not require card verification. Provide SDK calling method, support non-interactive or motion live body detection, support multiple platforms, CPU and GPU computing modes, and flexible deployment. Through massive data sample training and continuous training and tuning of CNN network models, an identity comparison network takes into account efficiency and accuracy.
Face recognition applet development_Introduction to WeChat H5 face recognition development

Infocode is a professional small program development company in Lanchang Information Technology, providing you with face recognition small program development_WeChat H5 face recognition and other customized development services. For more information about face recognition custom development, please contact Lanchang customer service

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