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| Model Number: | 011 |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Delivery Time: | 10 working days |
| Payment Terms: | T/T |
Product Overview
In today's era where the security requirements for identity verification are constantly increasing, a single identification method is no longer sufficient to meet the multiple demands of enterprises for anti-counterfeiting, anti-proxy打卡, and efficient access control. The 10.1-inch horizontal screen wall-mounted facial + fingerprint recognition access control terminal has emerged - this is a multi-modal biometric access control and attendance device that integrates deep learning facial recognition and high-precision capacitive fingerprint technology. It is specifically designed for enterprises, parks, campuses, and public places that seek high security levels and ultimate user experience.
Core Value: Why choose dual biometric recognition of face + fingerprint?
1. Solving the pain points of "proxy打卡" and "forgery attacks"
Facial Recognition (1:N): Based on deep learning algorithms, the recognition speed is ≤ 0.2 seconds per person, with an accuracy rate of ≥ 99%, and supports dual-eye live body detection, effectively defending against forgery attacks such as photos, videos, and 3D masks.
Fingerprint Recognition: Using capacitive fingerprint sensors, it is not affected by finger peeling or sweating, forming an independent biological feature dimension from the facial features.
Dual verification combination: Configurable "face + fingerprint" dual authentication, both items must match to pass, with a security level far exceeding single biometric recognition solutions.
2. 10.1-inch horizontal screen large screen, more efficient information display
Different from traditional 7-inch/8-inch vertical screen devices, this terminal is equipped with a 10.1-inch IPS full-view high-definition touch screen, with a resolution of 1280×800, in a horizontal 16:10 ratio.
Attendance results, personnel photos, notifications, and announcements, and enterprise promotional videos are all clearly displayed.
500 cd/m² high brightness, still clear even in strong light
Multi-point capacitive touch control, local equipment management and personnel registration can be completed
Technical Architecture: Industrial-grade hardware, stable and reliable
Core processor and operating system
Equipped with RK3568 quad-core Cortex-A55 processor (2.0GHz), built-in NPU computing power, running Android 11 operating system, providing rich application ecosystem and secondary development interfaces. An embedded Linux version can be selected to meet high stability and security requirements.
Dual-eye camera module
200,000-pixel wide dynamic dual-eye camera (RGB + IR), supporting low-light environment facial recognition
Recognition distance: 0.4 meters to 2 meters, suitable for a height range of 1.2 meters to 2.0 meters
Live body detection: Infrared dual-eye anti-forgery, photos, videos, and screen snapshots cannot pass
Capacitive fingerprint module
False rejection rate (FRR) ≤ 0.1%, false acceptance rate (FAR) ≤ 0.001%
Body processing and installation method
Material: Aluminum alloy CNC precision engraving body + tempered glass panel, sturdy and durable
Installation: Standard wall-mounted metal plate (compatible with 86 base box), optional gate frame or desktop bracket
| Specifications of the 10.1-inch fingerprint and facial recognition access control device | ||
| 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 MHz, 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 | 10.1 inches | |
| screen resolution | 1280*800 | |
| 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 panel, capable of withstanding over 50 million touches at any single point. | |
| camera | Dual-camera setup featuring visible light and infrared sensors with 2 million pixels, ultra-wide dynamic range, live detection support, resistance to backlighting and strong light, and selectable focal lengths. | |
| Fingerprint Capture and Recognition Module | Measurement method: capacitive surface-array semiconductor sensor with planar pressure sensing | |
| Storage capacity: 500 items | ||
| Security Level: Level 5 (from lowest to highest: 1, 2, 3, 4, 5) | ||
| False acceptance rate (FAR): <0.001% (SecurityLevel: 3) | ||
| False Rejection Rate (FRR): <0.1% (SecurityLevel: 3) | ||
| Collection window size: 20.4 mm × 33.4 mm | ||
| Image size: 192*192 pixels (effective size: 192*192 pixels) | ||
| Image pixel density: 508 DPI | ||
| Matching method: comparison-based (1:1); search-based (1:N) (when 500 items are registered) <1 second | ||
| Does it support self-learning? Yes | ||
| Wi-Fi | High-performance Wi-Fi, supports 802.11b/g/n | |
| PDA | High-performance Bluetooth, supports Bluetooth Technology Version 5.2 | |
| Ethernet | Route 1: 10/100/1000 Mbps adaptive Ethernet | |
| 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 | 2 USB ports, 1 RJ45 port, 1 DC port, 1 headphone jack, 1 TF card and SIM card slot, 1 HDMI port, and support for external 485/232 communication interfaces and relays. | |
| 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 risks associated with photos and videos across various media carriers; supports a face database of 50,000 images and 1 million recognition records; when the face database contains 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 |
| Plant Process | Aluminum alloy CNC precision-engraved anodized frame + rear housing powder-coated sheet metal process | |
| 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 verification. |
| 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 | hanging | |
|
| Model Number: | 011 |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Packaging Details: | 10.1-inch |
| Payment Terms: | T/T |
Product Overview
In today's era where the security requirements for identity verification are constantly increasing, a single identification method is no longer sufficient to meet the multiple demands of enterprises for anti-counterfeiting, anti-proxy打卡, and efficient access control. The 10.1-inch horizontal screen wall-mounted facial + fingerprint recognition access control terminal has emerged - this is a multi-modal biometric access control and attendance device that integrates deep learning facial recognition and high-precision capacitive fingerprint technology. It is specifically designed for enterprises, parks, campuses, and public places that seek high security levels and ultimate user experience.
Core Value: Why choose dual biometric recognition of face + fingerprint?
1. Solving the pain points of "proxy打卡" and "forgery attacks"
Facial Recognition (1:N): Based on deep learning algorithms, the recognition speed is ≤ 0.2 seconds per person, with an accuracy rate of ≥ 99%, and supports dual-eye live body detection, effectively defending against forgery attacks such as photos, videos, and 3D masks.
Fingerprint Recognition: Using capacitive fingerprint sensors, it is not affected by finger peeling or sweating, forming an independent biological feature dimension from the facial features.
Dual verification combination: Configurable "face + fingerprint" dual authentication, both items must match to pass, with a security level far exceeding single biometric recognition solutions.
2. 10.1-inch horizontal screen large screen, more efficient information display
Different from traditional 7-inch/8-inch vertical screen devices, this terminal is equipped with a 10.1-inch IPS full-view high-definition touch screen, with a resolution of 1280×800, in a horizontal 16:10 ratio.
Attendance results, personnel photos, notifications, and announcements, and enterprise promotional videos are all clearly displayed.
500 cd/m² high brightness, still clear even in strong light
Multi-point capacitive touch control, local equipment management and personnel registration can be completed
Technical Architecture: Industrial-grade hardware, stable and reliable
Core processor and operating system
Equipped with RK3568 quad-core Cortex-A55 processor (2.0GHz), built-in NPU computing power, running Android 11 operating system, providing rich application ecosystem and secondary development interfaces. An embedded Linux version can be selected to meet high stability and security requirements.
Dual-eye camera module
200,000-pixel wide dynamic dual-eye camera (RGB + IR), supporting low-light environment facial recognition
Recognition distance: 0.4 meters to 2 meters, suitable for a height range of 1.2 meters to 2.0 meters
Live body detection: Infrared dual-eye anti-forgery, photos, videos, and screen snapshots cannot pass
Capacitive fingerprint module
False rejection rate (FRR) ≤ 0.1%, false acceptance rate (FAR) ≤ 0.001%
Body processing and installation method
Material: Aluminum alloy CNC precision engraving body + tempered glass panel, sturdy and durable
Installation: Standard wall-mounted metal plate (compatible with 86 base box), optional gate frame or desktop bracket
| Specifications of the 10.1-inch fingerprint and facial recognition access control device | ||
| 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 MHz, 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 | 10.1 inches | |
| screen resolution | 1280*800 | |
| 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 panel, capable of withstanding over 50 million touches at any single point. | |
| camera | Dual-camera setup featuring visible light and infrared sensors with 2 million pixels, ultra-wide dynamic range, live detection support, resistance to backlighting and strong light, and selectable focal lengths. | |
| Fingerprint Capture and Recognition Module | Measurement method: capacitive surface-array semiconductor sensor with planar pressure sensing | |
| Storage capacity: 500 items | ||
| Security Level: Level 5 (from lowest to highest: 1, 2, 3, 4, 5) | ||
| False acceptance rate (FAR): <0.001% (SecurityLevel: 3) | ||
| False Rejection Rate (FRR): <0.1% (SecurityLevel: 3) | ||
| Collection window size: 20.4 mm × 33.4 mm | ||
| Image size: 192*192 pixels (effective size: 192*192 pixels) | ||
| Image pixel density: 508 DPI | ||
| Matching method: comparison-based (1:1); search-based (1:N) (when 500 items are registered) <1 second | ||
| Does it support self-learning? Yes | ||
| Wi-Fi | High-performance Wi-Fi, supports 802.11b/g/n | |
| PDA | High-performance Bluetooth, supports Bluetooth Technology Version 5.2 | |
| Ethernet | Route 1: 10/100/1000 Mbps adaptive Ethernet | |
| 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 | 2 USB ports, 1 RJ45 port, 1 DC port, 1 headphone jack, 1 TF card and SIM card slot, 1 HDMI port, and support for external 485/232 communication interfaces and relays. | |
| 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 risks associated with photos and videos across various media carriers; supports a face database of 50,000 images and 1 million recognition records; when the face database contains 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 |
| Plant Process | Aluminum alloy CNC precision-engraved anodized frame + rear housing powder-coated sheet metal process | |
| 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 verification. |
| 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 | hanging | |
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