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Face Recognition Terminal Machine
The Face Recognition Terminal Machine is an advanced terminal device that integrates facial recognition, temperature detection, and intelligent access control. Choosing this ZOJE brand product provides a high-performance device with a dual-camera system, motion detection, and face tracking in backlit environments. Its unique facial recognition algorithm enables accurate recognition within 0.5 seconds, while also integrating medical-grade temperature detection with an accuracy of ±0.3°C.
Model:ZOJE-FA1008
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Product Description
Pedestrian gate (temperature measurement), Intelligent Gate Guard(Temperature Detection) (temperature measurement), The Ministry of Public Security verifies on the integration of people and credentials (temperature measurement), etc.
Purchase ZOJE Face Recognition Terminal Machine to provide reliable technical support for your secure access control system.
Features
·Bi-camera and support moving object detection
·Support moving face tracking and exposure in strong backlighting environment
·Unique facial recognition algorithm to identify face accurately, recognition time <0.5s
·Built-in high performance CPU
·Stable Linux OS
·Cameras encoded by H.265 Main Profile, and via ONVIF and GB28181 protocol, video streams directly link NVR,etc.
·Support TF card, pictures stored continuously for 1 year and videos stored continuously for 1 month or longer(-
varying from TF card capacity)
· MTBF＞50000h
·Supports medium distance temperature measurement and high temperature alarm
·Support temperature data interface protocol docking
·Max 24,000 face capacity and 160,000 event records
·Support many interface protocols, and support SDK and HTTP protocols under Linux / Windows and other
Platforms such as TCP/IP、UDP、RTP、RTSP、RTCP、
HTTP、DNS、DDNS、DHCP、SMTP、UPNP、MQTT .
·Many hardware interface（I/O、WG26、WG34、RJ45、USB、RS485）
·8-inch multi-touch LCD screen without smear or delay
·Automatic gain and white balance naturally restored the true colors of the image
·Built-in black light sensor for video surveillance, low-light recognition is more accurate
·3D noise reduction and fog-through technology make the monitoring picture in low light more clear and delicate
· Support code stream and I frame interval setting
· Partial shielding of video area is supported
· Support ROI encoding
· Auto white balance, manual white balance
· Supports maximum exposure time setting
· Support mobile phone monitoring settings
· Support 2D noise reduction, 3D noise reduction
· Support video recording time period and upload mode setting
· Support video brightness, contrast, hue, saturation, gamma adjustment
· Support setting the maximum auto exposure time
· Supports smart face exposure and smart face enhancement settings
·Support moving face tracking and exposure in strong backlighting environment
·Unique facial recognition algorithm to identify face accurately, recognition time <0.5s
·Built-in high performance CPU
·Stable Linux OS
·Cameras encoded by H.265 Main Profile, and via ONVIF and GB28181 protocol, video streams directly link NVR,etc.
·Support TF card, pictures stored continuously for 1 year and videos stored continuously for 1 month or longer(-
varying from TF card capacity)
· MTBF＞50000h
·Supports medium distance temperature measurement and high temperature alarm
·Support temperature data interface protocol docking
·Max 24,000 face capacity and 160,000 event records
·Support many interface protocols, and support SDK and HTTP protocols under Linux / Windows and other
Platforms such as TCP/IP、UDP、RTP、RTSP、RTCP、
HTTP、DNS、DDNS、DHCP、SMTP、UPNP、MQTT .
·Many hardware interface（I/O、WG26、WG34、RJ45、USB、RS485）
·8-inch multi-touch LCD screen without smear or delay
·Automatic gain and white balance naturally restored the true colors of the image
·Built-in black light sensor for video surveillance, low-light recognition is more accurate
·3D noise reduction and fog-through technology make the monitoring picture in low light more clear and delicate
· Support code stream and I frame interval setting
· Partial shielding of video area is supported
· Support ROI encoding
· Auto white balance, manual white balance
· Supports maximum exposure time setting
· Support mobile phone monitoring settings
· Support 2D noise reduction, 3D noise reduction
· Support video recording time period and upload mode setting
· Support video brightness, contrast, hue, saturation, gamma adjustment
· Support setting the maximum auto exposure time
· Supports smart face exposure and smart face enhancement settings
Specification
| Hardware |
|
||
| The processor |
Dual-core processor + 1G memory + 16G EMMC |
||
| Operating system |
Embedded Linux operating system |
||
| Storage |
Support TF card storage |
||
| Perspective | Vertical:30°;Horizontal:30° | ||
| Imaging device | 1/2.8" Progressive Scan CMOS | ||
| Len | 6mm | ||
| Speaker |
Standard configuration, voice playback content can be customized |
||
| Temperature measurement performance |
|
||
| Temperature measurement environment | 16℃-40℃, No wind in the room(see note for details) | ||
| Temperature measurement lens | Original lens from Europe | ||
| Sensor type | Medical-grade sensors from European | ||
| Measurement accuracy | ±0.3℃ | ||
| Temperature resolution | 0.1℃ | ||
| Temperature measurement distance | ≤30cm | ||
| Reaction time | 300ms | ||
| Performance |
|
||
| Recognition height | 1.2~2.2 m, adjustable angle | ||
| Recognition distance | 0.3~1.5 m, adjustable lens | ||
| Recognition time | < 0.5 s | ||
| Storage | 16 event records | ||
| Face capacity | 24000 | ||
| Screen brightness | ≥400cd/m2 | ||
| interface |
|
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| Digital output | 1 channel digital output, other GPIO channel can be customized | ||
| Network interface | 1 pcs RJ45 10M / 100M adaptive Ethernet port, gigabit ethernet port can be customized | ||
| Wiegand interface | 1 channel Wiegand interface input and output | ||
| USB interface | 1 channel USB interface is device | ||
| Communication interface | 1 channel RS485 interface | ||
| Camera parameters |
|
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| Camera | Bi-camera, visible and infrared, support moving object detection | ||
| Pixels | 2100 thousand pixels, 1920*1080 | ||
| Minimum illumination | color 0.01Lux @F1.2(ICR);without color 0.001Lux @F1.2 (ICR) | ||
| Noise rate | ≥50db(AGC OFF) | ||
| Dynamic Width | 120db, isp Algorithmic facial partial exposure | ||
| Video code | H.265 Main Profile code/H.264 BP/MP/HP code/MJPEG code | ||
| Image resolution | Main stream | 50Hz: 25fps (1920×1080, 1280×720) | |
| 60Hz: 30fps (1920×1080, 1280×720) | |||
| Second stream | 720*576, 1-25(30)f/s/640*480, 1-25(30)f/s 320*240, 1-25(30)f/s | ||
| Function |
|
||
| Website configuration | support | ||
| Remote update | support | ||
| Deployment | Support public network and local area network | ||
| General parameters |
|
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| Working humidity | 0～90%relative humidity, non-condensing | ||
| Salt fog level | > Rp6 level | ||
| Antistatic | Contact ±6KV, air±8KV | ||
| Voltage | DC12V/2A | ||
| Power | 20W(MAX) | ||
| Size | 260(length) * 136(width) *26(thickness)mm | ||
|
Screen specifications |
8 inch IPS High Resolution Screen | ||
| Column Aperture | 36mm | ||
| Weight | 1.7 kg | ||
Size
Interface
| NO. | Name | Quantity | Remark |
| 1 | Network | 1 | RJ45 |
| 2 | Power | 1 | DC12V IN |
| 3 | USB | 1 | USB 2.0 |
| 4 | Switch output | 1 | Switch outpute A+/B- |
| 5 | Wiegand protocol input interface | 1 |
① vcc12V ② GND ③ D0 ④ D1 |
| 6 | Wiegand protocol output interface | 1 |
① D0 ② D1 |
| 7 | RS485 | 1 |
① 485- ③ 485+ |
Notes
1. The temperature measurement equipment should be used in a room that is not ventilated and the room temperature is between 16 ℃ -40 ℃;
2. People entering the room from a cold winter environment will affect the temperature measurement accuracy;
3. Start the test after the sensor temperature and the ambient temperature are balanced for 10 minutes.
4. Ensure that there is no heating source and air conditioning vents within 3 meters of the equipment;
5. The forehead temperature test needs to be performed indoors without covering the forehead for three minutes and the temperature is stable;
6. Expected maximum head temperature change due to exposure to certain factors, such as sprays, hair dryers, sprays, etc .;
7. When the forehead has oil, makeup, oxygen mask, or the elderly have wrinkles, the reading temperature will be lower than the actual temperature;
8.The temperature read is the temperature where the projection is located. Make sure there is no hair or clothing covering the area.
2. People entering the room from a cold winter environment will affect the temperature measurement accuracy;
3. Start the test after the sensor temperature and the ambient temperature are balanced for 10 minutes.
4. Ensure that there is no heating source and air conditioning vents within 3 meters of the equipment;
5. The forehead temperature test needs to be performed indoors without covering the forehead for three minutes and the temperature is stable;
6. Expected maximum head temperature change due to exposure to certain factors, such as sprays, hair dryers, sprays, etc .;
7. When the forehead has oil, makeup, oxygen mask, or the elderly have wrinkles, the reading temperature will be lower than the actual temperature;
8.The temperature read is the temperature where the projection is located. Make sure there is no hair or clothing covering the area.
Hong Kong ZOJE intelligent Technology Co.,Ltd www.zojetech.com Email: info@zoje-tech.com
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