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Offline face recognition SDK
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
preferential Cloud optimization, preferential offers, As low as 59 SDKs, snap up immediately>> >
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Product advantages
High computing power, low cost Strong ISP function
Based on RV1109/RV1126 platform, with lower power consumption and higher cost performance, HiSilicon chip is a perfect alternative
Extremely fast whole process identification
Unique NPU computing unit, millisecond response, and the whole process time of the 10000 level face super large base database is reduced to 125ms
Offline authorization activation
Quick activation authorization without network operation environment, enterprise level stable, precise and secure service
Complex light, multi age/crowd coverage
Under the conditions of strong/reverse/dim light indoors and outdoors, the recognition accuracy of the elderly and children is more than 99.5%, and the mask/foreigner recognition is supported
Double guarantee of RGB/IR live detection
Support multi-mode (RGB/NIR) live detection, optimize defense against video stream and 3D head model attacks, and double guarantee technical security
Open and easy docking of standard interfaces
Open atomic interface to support highly customized secondary development; Open application level interface to facilitate business function development
Specification information
It supports Ruixin Micro RV1126/RV1109 hardware platform and Linux system
Business Scenario
"Fast" access control
"Safety" face brush door lock
"Senseless" face brushing attendance
"Fast" access control
For the scenes of access control in office buildings, communities, scenic spots and other parks, the RV1109 SDK for offline face recognition is integrated into equipment such as verification machines, access control machines, and attendance machines. The low-cost, high computing power enabled terminal equipment enables localized full process "insensitive" face recognition to ensure safe, fast, and efficient access of identity verification personnel
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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 for Android
Adapt chips and devices such as Ruixin Micro RK3288/RK3399, Qualcomm 8953, etc., support the rapid completion of face recognition in an offline, networkless environment at the device end, and flexibly apply to such scenarios as building campus entrance attendance, smart community access control, smart site real name system, etc
Dumu series soft and hard combination products
Including face application suite, face capture machine, video analysis box Four products of AI lens module. Integration of software and hardware to achieve in-depth optimization of algorithms and hardware, equipped with preset applications, which can be directly deployed or secondary developed
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique
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Scenario application
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Intelligent diagnosis to quickly solve the use problems
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For more information, please call 400-920-8999 to 1
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