information community file
Face mask detection and recognition
Mask wearing status detection: detect whether users wear masks through face and body analysis
Product List
Usage
Application scenarios
Technical advantages
Support communication
Usage
Public cloud API service
Driver mask detection is realized through public cloud driving behavior analysis API; Detect mask wearing status through public cloud face/human mask detection capability
Privatization deployment
The mask detection algorithm deployed through face recognition privatization determines whether the user wears a mask; Realize face recognition in the mask wearing scene through detection, alignment, live and recognition algorithms
Offline identification SDK
Judge whether the user wears a mask through the mask detection algorithm of the offline face recognition SDK; Realize face recognition in the mask wearing scene through detection, alignment, live and recognition algorithms
Application scenarios
Wear a mask and brush your face
Inspection of wearing masks in public areas
Driver wearing mask for inspection
Wear a mask and brush your face
The detection, live and recognition functions of the offline face recognition SDK have optimized the face recognition in the mask wearing scene. During the epidemic, the face brushing access gates of communities and enterprises can use the face recognition function after updating, without removing masks and passing without contact, reducing the gathering of people.
Technical advantages
Perfect product matrix
Provide a full capability product matrix to support customers' rapid development and deployment for various scenarios. The mask detection capability has covered public cloud, private deployment, and offline SDK products; Face recognition capability of wearing masks has covered offline SDK and private deployment
Rich mask related ability
At the same time, it provides the detection and analysis capability of mask attributes and face recognition capability in mask wearing scenarios, supporting the landing of more mask related business scenarios
Optimization of face recognition algorithm
Optimize the whole process of face recognition in the face mask scene, including detection, alignment, live and recognition model, and improve the accuracy of face recognition in the face mask as a whole
High algorithm accuracy
The accuracy rate of face recognition and human body analysis services for face detection with masks is 99.5%, and the accuracy rate for mask attribute detection is more than 99%
Rapid deployment and commercialization
Mask detection and face recognition capabilities for different scenarios have been fully launched, helping customers quickly develop relevant products and services during the epidemic, and promoting business commercialization
Support customized training
Using Baidu EasyDL customized training platform, you can customize AI services according to your own business needs, and use a small amount of data training to obtain mask detection services that more closely match business scenarios.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique