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Offline face recognition SDK for Android
It is applicable to all kinds of devices running Android system. The face recognition algorithm is specially optimized for the elderly, children, and foreigners, and has high robustness under various complex light conditions. It provides business layer development interfaces and scenario based example projects to help developers achieve rapid product landing and ensure product performance leading in the industry
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Product advantages
Specification information
Business Scenario
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Product advantages
Accurate and fast face recognition
The accuracy rate of face recognition is more than 99%, and the whole process of face recognition takes less than 300ms to ensure that face detection and recognition can be completed accurately and efficiently in various use scenarios
Special optimization of complex light
The face detection, live detection and face recognition functions under strong light, weak light, dark light, backlight, yin and yang light and other light conditions are specially optimized to comprehensively cover various indoor and outdoor use scenarios
Support complex crowd identification
At the same time, it supports the recognition of the elderly, children, foreigners and other complex groups, while meeting the face recognition business needs of various communities, schools and parks at home and abroad
Provide multi-mode live detection capability
Support RGB NIR and Depth three modes of live detection provide flexible live detection strategies for different scenarios, and have financial enhanced live detection capabilities
Provide business layer development interface
Provide a single algorithm model development interface to support highly customized secondary development; Provide business layer development interface to facilitate rapid integration and business implementation
Provide scenario example project
Provide customized design and development sample projects for typical use scenarios, support rapid verification of business functions and algorithm effects, and help users quickly complete development integration
Specification information
Test the effect and performance of typical chip platform based on Android SDK
Business Scenario
Face brushing access
Face brushing attendance
Verification of witness
Face brushing payment
Face brushing access
For access control scenarios such as office buildings, campuses, and construction sites, quickly integrate and develop the face brushing access application based on the offline face recognition SDK for Android, to achieve localized whole process "insensitive" face recognition, and ensure the safe, fast, and efficient completion of personnel identity verification and insensitive access
Cooperation cases
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Offline face recognition SDK Windows
Fully adapt to compatible Windows multi system platforms, optimize algorithms for complex light, the elderly, and children at multiple age levels, quickly complete face recognition in a non network environment, and flexibly apply to witness comparison scenarios of old equipment such as government hall front desk check-in, medical self-service registration machine, etc
Offline face recognition SDK Hisense version
The offline face recognition SDK Hi3516DV300 solution supports face recognition with masks. It takes less than 200ms to realize the full process face recognition in the 5W base database, and perfectly lands in the community, site face painting, access control, gate and other scenes
Offline face recognition SDK RV1109
Perfect matching with Ruixin Micro RV1109/RV1126 chip, matching with a face recognition algorithm model with higher accuracy and stronger robustness, realizing millisecond level recognition of 10000 level face database, adapting to various complex environments, perfectly compatible with mainstream hardware in the market, and accelerating the landing of AI products
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique
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Scenario application
Cooperation consulting
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