Face Recognition System

Approx. Rs 15,000 / PieceGet Latest Price

Product Details:

F710 Hanvon face time attendance time clock hanvon face time attendance and access control China Leading HANVON FACE ID f710

Face ID is industry first embedded facial recognition system with leading “Dual Sensor™” Facial Recognition Algorithm, which designed for application like physical access control and time attendance, identity management and so on.

Time and access F710

F710 is an embedded facial recognition system with leading “Dual Sensor™” Facial Recognition Algorithm, which applied for time attendance and access control application. Its classic slope design is good for commercial market like Enterprise, Bank, building automation and so on.

 

Features:

 

Embedded facial recognition system: 
• Adopt US advanced DSP technology keeps processing and matching right on the device 
• Standalone application as Time attendance, Access control, Identity management

Accurate and Fast Identification: 
• Industrial Leading “Dual Sensor” Facial Recognition Algorithm, FAR<0.001%, FRR<1%
• 1:Many up to 500 users less than 1 second

Multi Authentication: 
• System can work with Face, ID+Face, Card+Face,Card,Card+Photo

Large user and log capacity: 
• User capacity up to 500 for 1:N matching
• Over 150,000 logs and security image 70,000

User friendly design: 
• 3.5 inch color screen for face positioning
• Contactless authentication for the ultimate in hygienic
• voice prompt 

Flexible interfaces and Data Management: 
• Standard TCP/IP and USB Host
• Built in relay
• Wiegand output makes system compatible with different access control panel
• User self-inquiry,Date Auto-uploading to defined server

Reliable performance under different environments: 
• Different source-light Technology
• The system can work in different light condition even in the dark
• Over 2 years market testing

High Usability and Security: 
• Failure to enroll and acquire rate is less than 0.0001%,everyone can use this technology
• Incident trackable for security with photo
• More data points matched than fingerprint enable more accurate