AI Intelligent Face Temperature Measurement & Attendance System
At present, all parts of the country have begun to resume work and production on a large scale in batches, and epidemic prevention is the top priority. During the resumption of work, how to avoid cross-infection of fingerprint attendance machines during the attendance process is a big challenge for any enterprise. On February 22, the State Council’s Joint Prevention and Control Mechanism issued the "Guidelines for the Prevention and Control of Epidemic Prevention and Control Measures for the Resumption of Work and Production of Enterprises and Institutions" ", the guide points out that the units using fingerprint time attendance machines should be temporarily disabled and use other methods to register the entry and exit personnel. In response to the need for resumption of work and epidemic prevention, after a week of in-depth research and development, the RAKINDA team successfully released the AI intelligent face temperature measurement and attendance system.
The RAKINDA AI intelligent face temperature measurement and attendance system addresses the current pain points faced by enterprises in resuming work. AI artificial intelligence technology can realize human body temperature measurement under a mask + enterprise attendance, reducing the risk of virus infection and effectively improving the safety of resuming work and production.
Face recognition attendance system features
1. Accurate face comparison
Support 30,000 face database
Support 1:1 comparison, 1:N comparison
Face recognition accuracy rate>99.95%
Face recognition speed <0.1 seconds
2. Precise temperature measurement by thermal imaging
Temperature detection distance 2-3 meters
Temperature measurement accuracy ≤ ±0.3℃
3. Intelligent voice warning
A safe temperature zone can be set. When the temperature of a person exceeds this zone, an audible and visual alarm can be automatically issued.
4. Body temperature attendance
Attendance data and body temperature data are combined to form an attendance record containing body temperature data, which is convenient for enterprise prevention and control and data traceability.
5. Live detection
Deep AI face algorithm can effectively identify photo/video attacks.
6. Smart report
The background automatically generates personnel, body temperature, time and other data for statistical analysis based on daily attendance data to improve epidemic prevention and control capabilities.
7. Cloud platform management
Hushida AI intelligent temperature measurement and attendance system supports management through the cloud platform, and enterprise personnel can remotely manage through the YBFACE cloud platform.
8. Support external connection
It has powerful external capabilities, supports external barriers, magnetic locks, etc.
