
Uface 5
50,000 Images, 200,000 records, 5-inch IPS full-sight LCD touch screen…

Industry-leading 99.99% recognition rate, response time <0.1 seconds, stable even in complex scenarios.
Supports multiple modes including APP, cloud, and offline, adaptable to various business scenarios.
Open APIs and extensive AIoT ecosystem make your integration fast and easy
Certified with CE, FCC, and other international standards, multilingual versions support global deployment.
Offers customized hardware and software solutions with comprehensive technical support to ensure project delivery.
A fully integrated range of access control and security products, managed from one platform and designed to boost revenue, reduce operating expenses, and improve end user's satisfaction.

50,000 Images, 200,000 records, 5-inch IPS full-sight LCD touch screen…

50,000 Images, 3,000 fingerprints; 200,000 records,5-inch TN touch...

30,000 Images, 200,000 records,EM+Mifare Card,IP66, Water-proof and Anti-Vand…

100,000 Images, 200,000 records,8-inch IPS full-view LCD touch screen,IP65…

30ms Ultra-Fast Response | High Concurrency | Seamless Access | Large-Scale Access & Attendance

Effectively defends against photo, video, screen, and mask attacks, ensuring secure and reliable identity verification.

Self-developed AISP (Intelligent ISP) Technology for Adapting to Backlight, Low-light, Glare and Other Complex Lighting Scenarios

Covers Algorithms, Hardware, Edge Computing, Cloud | Supports Offline Recognition & Flexible Deployment

Integrates Personnel/Vehicle/Behavior/Risk Recognition | From Monitoring to Proactive Warning

For Construction, Power, Manufacturing | Integrated "Person-Equipment-Environment" Safety System
Based on the unique features of specific scenarios, Uni-Ubi has independently developed face recognition algorithms tailored to different industries, ethnicities and groups – including algorithms for pupils, construction sites and multi-ethnic populations. Combined with scenario-specific safety detection algorithms for masks, safety helmets, hard hats and uniforms, these solutions significantly boost recognition accuracy and access efficiency of face recognition systems in extreme environments and for special user groups.
Uni-Ubi’s scenario-based algorithms optimize recognition for specific groups and high-risk environments. Combined with AI-driven safety gear detection, we deliver unmatched precision and efficiency for global access control.
At a false recognition rate of one in a million, the pass rate of the AB model has increased by 39% and 41% respectively compared with ordinary algorithm models.
At a false recognition rate of one in a million, the construction site-specific algorithm model increases the face recognition accuracy in construction site scenarios to 94% and improves the pass rate by nearly 10%; at a false recognition rate of one in ten thousand, the pass rate reaches 99%.
At a false recognition rate of one in a million, the pass rate of the multi-ethnic recognition algorithm reaches 99.5%. This algorithm is specially optimized for different ethnic groups and has improved recognition performance across all ethnic groups.