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Offline face recognition SDK for Linux ARM
The general version of the offline face recognition SDK Linux system, which is applicable to most ARM chips, has been verified to be compatible with RK3288 (Ubuntu system), and adds compatible support for development boards without UI interface
Product advantages
Specification information
Business Scenario
Related product recommendation
Product advantages
Low cost, low power, efficient face recognition
Based on the positioning of ARM embedded platform, simplify the hardware logic design, build the Linux development board configuration at low cost, and realize the whole process of face recognition with a low-power processor within 250ms
Complex light, pressure free coverage for all ages
Under complex light conditions such as indoor and outdoor strong light, backlight, dark light, yin and yang light, the recognition accuracy of 6-90 year old people and children is more than 99.5%, meeting the requirements of multi scene business landing
Offline authorization activation and security service guarantee
Support quick completion of activation authorization binding in the non network and weak network operating environment, and provide enterprise level stable and accurate security services; Individual and enterprise certified users can enjoy up to 5 free test quotas
Open and easy docking of standard interfaces
Open source demo sample project quick experience; Open atomic interface to support highly customized secondary development; Open application level interface, flexible for business function development and integration
Specification information
It supports the general Linux ARM development board, and has been verified to be compatible with RK3288 (Ubuntu system), Samsung 4418, 6818. For more models, please consult the application for cooperation. For customized versions of HiSilicon and RV1109, please refer to other pages
Business Scenario
Intelligent safety cabinet control
Self service equipment verification
Intelligent safety cabinet control
In the past, the police gun management smart cabinet, express logistics goods cabinet, retailer's super goods cabinet and other scenarios were mostly manually monitored, fingerprint, two-dimensional code and other methods as the way of identity verification; Enable face recognition capability through Linux ARM SDK, and conduct more strict intelligent cabinet management and control for items with high privacy and security requirements through face brushing verification
Cooperation cases
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique