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Offline face recognition SDK for Windows
It is fully compatible with Windows multi system platforms, optimizes algorithms for complex light, the elderly, and children at multiple age levels, quickly completes face recognition in a non network environment, and flexibly applies to witness comparison scenarios of old equipment such as government hall front desk check-in, medical self-service registration machines, and has launched a new C++/C #/Java multi language version
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Product advantages
Super strong and easy to use without threshold
Preset the end-to-end face recognition demo example project, support the creation/update of face database, flexible debugging of model parameter threshold, greatly reduce the development cost, quickly integrate and get started, and experience the millisecond level recognition response capability
High precision and stable witness comparison
For the scene of 1:1 person card comparison of self-service all-in-one machine in the medical and government affairs hall, the algorithm of special certificate model was optimized, and multiple types of ID cards and medical insurance cards were fully covered to ensure accurate, efficient and stable personnel to check and pass quickly
Multi system and multi platform compatible adaptation
It is fully compatible with the Windows full system platform, supports the win7/win10/XP system, and is also compatible with the X32 and X64 systems. It deeply adapts to the CPU of the X32 system industrial personal computers "Celeron" J1900, "Pentium" G4400 and other old equipment, and has launched C++/C #/Java multilingual versions
Algorithm optimization for full scene coverage
In indoor and outdoor scenes with complex light (strong light, backlight, overcast sunlight) and partial occlusion of face (glasses, scarves, hats), the algorithm comprehensively optimizes the real-time verification of face image quality, improves the recognition accuracy and speed, and meets the landing requirements of diverse scenes
Specification information
Support win7/win10/XP system, and compatible with X32 and X64 CPU processors
Business Scenario
Government affairs verification machine
Self service medical insurance verification machine
Police Smart Safe
Government affairs verification machine
In the past, the manual verification of the identity information of the administrative staff was cumbersome and inefficient, and there were problems such as difficult verification, inadequate implementation, traceability and compliance inspection in the process of confirming the consistency between the administrative staff and the identity documents, which made it difficult to completely avoid the behavior of people posing as impostors and handling on behalf of others. As a result, face recognition enables the all-in-one machine in the government affairs hall to realize the 1:1 comparison of identity verification in the whole process, and help people to serve the government affairs in an efficient and safe way
Cooperation cases
Zhongtian Geo
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Offline face recognition SDK for Android
It is suitable for panel devices running Android system, compatible with mainstream chip platforms on the market, fast and accurate face recognition, good robustness to complex light and complex crowd, and has business layer secondary development interface and end-to-end scenario example project
Offline face recognition SDK for Linux
The common version SDK for Linux system is applicable to all ordinary ARM chips. It has been verified to be compatible with Samsung 4418, 6818, and RK3288 development boards. It fixes the dependency of the old version SDK demo environment, and adds compatible support for development boards without UI interface
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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