Face Recognition Time Attendance Machine
Technical Specifications
Model No. | E205 (Enterprise series) |
Function | Description |
CPU | TI6446, ARM9 DSP Dual core |
Camera | Special Dual-Camera |
Authentication Method | Face Only; EM/Mifare Card Only; Password Face; EM/Mifare Card Face (Card reader optional) |
Anger Range | > Horizontal, ±20°, Vertical : ±20° |
Fitting height | >145-195CM |
Working Distance | >30-80CM |
Record Capacity | 2G SD Card (support up to 500,000 records) 32G SD Card optional (10,000,000 records) |
I/O (2 input and 2 output) | Switch Signal supported |
Function Key | Max: 10 function keys. User Customized |
Indicated Light | Red (Alarm/Failed), Green (Running / Successful),Yellow ( Power ) |
Language | English, Chinese(Simplified), Chinese(Traditional) |
Working Environment | Illumination: 0-20000LUX, Water Proof Class 3, Dust Proof Class 6 |
Working Humidity | 20% ~ 80% |
Working Temperature | -20 ~ 55°C |
Dimension | 206mm (H)×108mm (W)×93mm (D) |
Installation | Wall Mounting |
Features
1. Ourface recognition time attendance machine comes with a voice reminder for each operation steps and built-in face monitor software for local and remote video monitoring. Furthermore, it also supports embedded web server and standard attendance management software produced by our own company.
2. User-friendly, this product uses the patent non-visible auxiliary light. Meanwhile, the exclusive and advanced facial image V4.0 recognition algorithm is employed to ensure operation speed and users’ security.
3. Its alarm light will be triggered as long as the data storage exceeds 85%, with the alarm message shown in LCD. With body sensor function, our product also supports anti-disassembly security alarm.
4. The 3 inch TFT touch color screen features 320240 resolution and supports TCP/IP and USB communication interfaces.
5. This product can also be optionally fitted with an embedded EM/Mifare card reader, with the 2G SD card storing 500,000 records and 32G SD card as an option. Moreover, these cards also support identification photo record for further checking.
6. This face recognition time attendance machine has excellent light adaptability. This means that it can intelligently adapt to various working conditions without the disturbance of glasses, hair style, age, and other small changes of face.
7. It has high recognition accuracy and fast speed. The recognition rate is over 99.9, false acceptance rate (FAR) is lower than 0.01% and the recognition speed is less than1s. Furthermore, the LFM function makes recognition speed faster and accuracy higher.
8. The RTC and network data can be presented simultaneously.
9. The powerful and economical model suits for SMEwith up to maximally (1: N) 500 persons.
10. With the features of easy operation and humanized interface, our product can consistently work for 24 hours.
11. In addition, SDK is also available for OEM customers and software developers.
Working Principle
Our face recognition time attendance machine is developed based on the biological recognition technology which recognizes different identities by auto-detection and tracking of faces in images or video streams captured by a camera or a video camera. And the detect content contains image acquisition (IMAQ), face location, face identification preprocess, storage and comparison.
The face recognition attendance system becomes the key element of attendance management by integrating the face recognition and attendance system into one.
Application
Our face recognition time attendance machine has been extensively used in enterprises, government departments, schools, hotels, clubs, hospitals for time attendance.
Face Recognition Time Attendance Software
Used to manage the staff attendance records, face recognition attendance software has a series of main functions, such as divisions, working team, attendance scheduling, asking for leave, vacation management and the statistics of attendance record, etc.