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| Model Number: | 005 |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Delivery Time: | 10 working days |
| Payment Terms: | T/T |
Product Overview:
This product is an 8-inch facial recognition access control and attendance terminal specially designed for installation on channel gates/door pillars. The device is installed in an embedded manner, perfectly adapting to the hole specifications of the gate pillars and integrating high-performance facial recognition algorithms and dual-lens live detection cameras. It is widely used in channel control and attendance management in smart parks, office buildings, public transportation, campuses, and other places.
Core functions and highlights:
1. Channel gate-specific design, easy installation
The device is optimized for the installation scenario of channel gate pillars. It adopts standard hole specifications (common diameter 50mm), and the bottom design allows for hidden wiring of cables. During installation, simply insert the device into the hole of the gate pillar and lock the nut. It supports horizontal angle adjustment (left and right pitch adjustable), meeting the recognition needs of people of different heights. Some models also support wall-mounted installation, enabling flexible deployment in multiple scenarios.
2. 8-inch high-definition vertical screen, clear interaction
Equipped with an 8-inch IPS high-definition touch screen with a resolution of 800×1280. The vertical screen ratio is in line with the installation posture of the gate, with a high screen coverage rate. During the face capture process, real-time preview is available, and the recognition results are clearly fed back. The operation is intuitive and convenient.
3. Dual-lens live detection, financial-level security anti-counterfeiting
It uses a 2000K wide dynamic dual-lens camera (RGB + IR), supporting infrared live detection, which can effectively defend against photo, video, and 3D mask forgery attacks. The device can automatically adjust exposure according to ambient light, maintaining stable recognition in strong backlight and low light environments. Some models have a protection level of IP66, capable of working normally in rain conditions, suitable for semi-outdoor and outdoor channel scenarios.
4. Deep learning algorithm, fast and accurate recognition
Based on deep learning algorithms, the 1:N face comparison speed is ≤ 0.2 - 0.3 seconds per person, with an identification accuracy rate of > 99%. The face library capacity supports 50,000 images, and the record capacity can reach over 500,000 entries, meeting the frequent passage requirements of large and medium-sized places.
5. Rich interfaces
Interface configuration: Standard includes RJ45 100M network port and Wi-Fi, and optional 4G expansion module. It provides Weigang input/output, RS232/RS485, relay output, door magnet detection, etc. interfaces, enabling seamless connection with various gate controllers.
Applicable scenarios
Smart Park/Office: Facial recognition for access control and attendance statistics at employee entrances
Public Transportation: Facial recognition for fare payment at subways, BRTs, and trams
School/Library: Entrance control for libraries, gymnasiums, and dormitories
Government Offices/Financial Outlets: High-security channel identity verification
| Specifications of 8-inch facial recognition attendance machine | ||
| essential parameter | operating system | Android 11 also supports Ubuntu 20.04, Debian 10, Linux, Buildroot, and HarmonyOS. |
| function | RK3568: a quad-core Cortex-A55 architecture processor with a clock speed of up to 2.0 GHz, featuring a built-in Convolutional Neural Network Accelerator (NPU), and supporting 1 T of computing power. | |
| configure | 2 GB of RAM + 16 GB of storage; LPDDR4 memory available in 4 GB/8 GB variants; EMMC support up to 128 GB. | |
| LCD screen size | 8 inches | |
| screen resolution | 800*1280 | |
| Viewing angle | IPS Full-View | |
| luminance | 500 cd/m², ultra-long service life, stable performance, with a service life exceeding 60,000 hours, enabling uninterrupted 24/7 operation throughout the year. | |
| touch screen | 10-point G+G capacitive touch, with each point capable of withstanding over 50 million touches. | |
| camera | Dual-camera setup featuring visible light and infrared sensors, 2 MP resolution, ultra-wide dynamic range, live detection support, resistance to backlit and high-intensity lighting, and selectable focal lengths. | |
| WIFI | High-performance Wi-Fi, supports 802.11b/g/n | |
| PDA | High-performance Bluetooth, supports Bluetooth Version 5.2 | |
| Ethernet | Route 1: 10/100/1000 Mbps adaptive Ethernet | |
| Indication light | Red, white, and green LED lights | |
| microphone | Optional | |
| 4G | Optional | |
| Speaker | Built-in 8Ω/3W | |
| operational parameter | Voltage: 12 V; Current: 3 A; Operating temperature: –25 °C to +75 °C; Relative humidity: 5%–93% RH (non-condensing) | |
| outer joint | 1 x USB/OTG port, 1 x RJ45 standard interface, 1 x relay output, 1 x DC power supply, 1 x Vengen port, 1 x RS-232/485 port | |
| Face recognition algorithm | Dynamic face detection and tracking based on video streams; 1:N recognition algorithm; dynamic dual-camera anti-counterfeiting capability, completely eliminating fraud in photos and videos across various media formats; supports a face database of 50,000 images and 1 million recognition records; with a face database of 50,000 images, it achieves a false recognition rate of 0.01% and a pass rate of 97%. | |
| material quality | Surface material | Mo-type Grade 7 tempered glass: explosion-proof, impact-resistant, and scratch-resistant |
| Process Technology | Anodizing of CNC-machined aluminum alloy surfaces | |
| pigment | Black + Silver | |
| Standard Features | Turnstile with electromagnetic lock linkage | Integrate the access gate and the electromagnetic lock to open the gate upon successful facial recognition. |
| Upload via network | In conjunction with the server-side software, it enables the uploading and aggregation of comparison data from multiple terminals. | |
| way to install | Barrier gate installation | |
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|
| Model Number: | 005 |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Packaging Details: | 8 inches |
| Payment Terms: | T/T |
Product Overview:
This product is an 8-inch facial recognition access control and attendance terminal specially designed for installation on channel gates/door pillars. The device is installed in an embedded manner, perfectly adapting to the hole specifications of the gate pillars and integrating high-performance facial recognition algorithms and dual-lens live detection cameras. It is widely used in channel control and attendance management in smart parks, office buildings, public transportation, campuses, and other places.
Core functions and highlights:
1. Channel gate-specific design, easy installation
The device is optimized for the installation scenario of channel gate pillars. It adopts standard hole specifications (common diameter 50mm), and the bottom design allows for hidden wiring of cables. During installation, simply insert the device into the hole of the gate pillar and lock the nut. It supports horizontal angle adjustment (left and right pitch adjustable), meeting the recognition needs of people of different heights. Some models also support wall-mounted installation, enabling flexible deployment in multiple scenarios.
2. 8-inch high-definition vertical screen, clear interaction
Equipped with an 8-inch IPS high-definition touch screen with a resolution of 800×1280. The vertical screen ratio is in line with the installation posture of the gate, with a high screen coverage rate. During the face capture process, real-time preview is available, and the recognition results are clearly fed back. The operation is intuitive and convenient.
3. Dual-lens live detection, financial-level security anti-counterfeiting
It uses a 2000K wide dynamic dual-lens camera (RGB + IR), supporting infrared live detection, which can effectively defend against photo, video, and 3D mask forgery attacks. The device can automatically adjust exposure according to ambient light, maintaining stable recognition in strong backlight and low light environments. Some models have a protection level of IP66, capable of working normally in rain conditions, suitable for semi-outdoor and outdoor channel scenarios.
4. Deep learning algorithm, fast and accurate recognition
Based on deep learning algorithms, the 1:N face comparison speed is ≤ 0.2 - 0.3 seconds per person, with an identification accuracy rate of > 99%. The face library capacity supports 50,000 images, and the record capacity can reach over 500,000 entries, meeting the frequent passage requirements of large and medium-sized places.
5. Rich interfaces
Interface configuration: Standard includes RJ45 100M network port and Wi-Fi, and optional 4G expansion module. It provides Weigang input/output, RS232/RS485, relay output, door magnet detection, etc. interfaces, enabling seamless connection with various gate controllers.
Applicable scenarios
Smart Park/Office: Facial recognition for access control and attendance statistics at employee entrances
Public Transportation: Facial recognition for fare payment at subways, BRTs, and trams
School/Library: Entrance control for libraries, gymnasiums, and dormitories
Government Offices/Financial Outlets: High-security channel identity verification
| Specifications of 8-inch facial recognition attendance machine | ||
| essential parameter | operating system | Android 11 also supports Ubuntu 20.04, Debian 10, Linux, Buildroot, and HarmonyOS. |
| function | RK3568: a quad-core Cortex-A55 architecture processor with a clock speed of up to 2.0 GHz, featuring a built-in Convolutional Neural Network Accelerator (NPU), and supporting 1 T of computing power. | |
| configure | 2 GB of RAM + 16 GB of storage; LPDDR4 memory available in 4 GB/8 GB variants; EMMC support up to 128 GB. | |
| LCD screen size | 8 inches | |
| screen resolution | 800*1280 | |
| Viewing angle | IPS Full-View | |
| luminance | 500 cd/m², ultra-long service life, stable performance, with a service life exceeding 60,000 hours, enabling uninterrupted 24/7 operation throughout the year. | |
| touch screen | 10-point G+G capacitive touch, with each point capable of withstanding over 50 million touches. | |
| camera | Dual-camera setup featuring visible light and infrared sensors, 2 MP resolution, ultra-wide dynamic range, live detection support, resistance to backlit and high-intensity lighting, and selectable focal lengths. | |
| WIFI | High-performance Wi-Fi, supports 802.11b/g/n | |
| PDA | High-performance Bluetooth, supports Bluetooth Version 5.2 | |
| Ethernet | Route 1: 10/100/1000 Mbps adaptive Ethernet | |
| Indication light | Red, white, and green LED lights | |
| microphone | Optional | |
| 4G | Optional | |
| Speaker | Built-in 8Ω/3W | |
| operational parameter | Voltage: 12 V; Current: 3 A; Operating temperature: –25 °C to +75 °C; Relative humidity: 5%–93% RH (non-condensing) | |
| outer joint | 1 x USB/OTG port, 1 x RJ45 standard interface, 1 x relay output, 1 x DC power supply, 1 x Vengen port, 1 x RS-232/485 port | |
| Face recognition algorithm | Dynamic face detection and tracking based on video streams; 1:N recognition algorithm; dynamic dual-camera anti-counterfeiting capability, completely eliminating fraud in photos and videos across various media formats; supports a face database of 50,000 images and 1 million recognition records; with a face database of 50,000 images, it achieves a false recognition rate of 0.01% and a pass rate of 97%. | |
| material quality | Surface material | Mo-type Grade 7 tempered glass: explosion-proof, impact-resistant, and scratch-resistant |
| Process Technology | Anodizing of CNC-machined aluminum alloy surfaces | |
| pigment | Black + Silver | |
| Standard Features | Turnstile with electromagnetic lock linkage | Integrate the access gate and the electromagnetic lock to open the gate upon successful facial recognition. |
| Upload via network | In conjunction with the server-side software, it enables the uploading and aggregation of comparison data from multiple terminals. | |
| way to install | Barrier gate installation | |
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