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| Model Number: | JP1104A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Delivery Time: | 10 working days |
| Payment Terms: | T/T |
Product Overview
In high-security scenarios such as finance, government affairs, and data centers, although facial recognition has become widespread, it still faces threats from forged attacks such as photos, videos, and 3D masks. The 10.1-inch vertical screen wall-mounted facial recognition + finger vein access control tablet has emerged - this is a multi-modal access control terminal that integrates deep learning facial recognition and finger vein recognition, and is equipped with IC card swiping. Finger vein recognition utilizes near-infrared light to transmit the finger and capture the distribution map of subcutaneous veins for identity verification. Its false acceptance rate (FAR) can be lower than 0.0001%, making it one of the most secure biometric recognition technologies currently available. The device features a 10.1-inch high-definition vertical screen and a wall-mounted installation design, and is widely used in high-security access control areas such as bank vaults, data centers, laboratories, and government agencies.
Core value: Facial recognition × Finger vein recognition, building a dual security defense line
1. Finger vein recognition - The of biometric recognition
Different from traditional fingerprint recognition (epidermal features, replicable) or facial recognition (susceptible to lighting and makeup), finger vein recognition technology has the following irreplaceable advantages:
Internal features, extremely difficult to forge: It recognizes the internal vein vascular network of the finger, hidden beneath the skin, which cannot be replicated through photos, 3D printing, or fingerprint films
Forced live body detection: Only flowing blood can generate an effective near-infrared absorption signal, and live body detection is naturally integrated
Ultra-high precision: The false acceptance rate (FAR) of finger vein recognition can be lower than 0.0001%, and the false rejection rate (FRR) is ≤ 0.01%
Not affected by the surface condition of the finger: Dehydration, sweating, moisture, wear and tear, etc. do not affect the recognition effect
Non-contact and more hygienic: The recognition process does not require contact with the device, avoiding the risk of public contact transmission
2. Android 11 open platform, flexible expansion and integration
The device is equipped with the Android 11 operating system, providing an open application ecosystem and secondary development interfaces. It supports remote management via the web and provides standard SDK and API interfaces, making it easy to integrate with third-party access control management systems, attendance systems, or OA platforms.
| 10.1-Inch Finger Vein and Face Recognition Visible Intercom Access Control All-in-One Machine Parameters | ||
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Basic Parameters |
Operating System | Android 11 system, also supports Ubuntu20.04, Debian10, Linux, Buildroot and Hongmeng system |
| Performance | RK3568, a quad-core Cortex-A55 architecture processor with a main frequency of up to 2.0MHz, a built-in convolutional neural network accelerator NPU, and supports 1T computing power | |
| Configuration | 2GB RAM + 16GB storage memory, LPDDR4 optional 4GB/8GB, EMMC supports up to 128GB | |
| LCD Screen Size | 10.1 inches | |
| Screen Resolution | 800*1280 | |
| Viewing Angle | IPS full viewing angle | |
| Brightness | 500cd/m², stable performance, service life of up to more than 60,000 hours, able to work 24/7 all year round | |
| Touchscreen | 10-point G+G capacitive touch screen, any point can withstand more than 50 million touches | |
| Camera | Binocular: visible light + infrared light, 2 million pixels, ultra-wide dynamic range, support for liveness detection, anti-backlight and strong light, selectable shooting focal length | |
| Finger Vein Module | Module Functions: Integrated vein information acquisition, filtering, binarization, template generation, dynamic library recognition/ID number output | |
| SOC parameters: 144MHz, 32-bit Cortex-M architecture high-performance processor | ||
| Recognition Mode: Front-capture front-compare, 1:N or 1:1; Front-capture rear-compare, 1:N or 1:1 | ||
| Recognition Speed: < 0.6 seconds | ||
| User Capacity: 1:1 – unlimited (expandable); 1:N – 100 (default) | ||
| False Acceptance Rate (FAR): < 0.0001% (at the highest security level) | ||
| False Rejection Rate (FRR): < 0.01% (at a higher security level) | ||
| Self-Learning Function: Prioritizes fusion and recalculation for templates with lower matching success rates | ||
| Fill Light | White LED light | |
| WIFI | High-performance WIFI, supports 802.11B/G/N | |
| Bluetooth | High-performance Bluetooth, supporting BT V5.2 | |
| Ethernet | 1 10/100/1000Mbps adaptive Ethernet | |
| Microphone | Optional | |
| 4G | Optional | |
| Tamper Alarm | Support | |
| Speaker | Built-in 8Ω/3W | |
| Working Parameters | Voltage 12V; Current 3A; Operating temperature-25℃～+75℃; Humidity 5%~93%RH non-condensing | |
| Face Algorithm |
Dynamic face detection and tracking based on video stream, 1:N recognition algorithm; Dynamic dual-camera anti-counterfeiting completely solves the problem of photo and video fraud on various media; Supports 20,000 face photo libraries and 1 million recognition records; When the face database is 20,000, the false recognition rate is 0.01% and the pass rate is 97%; |
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| External Interfaces | 1 USB, 1 RJ45, 1 DC, 1 headphone, 1 TF card slot, 1 SIM card slot, 1 HDMI, can connect to 485/232/relay | |
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Materials |
Surface Material | Mohs Level 7 Tempered glass explosion-proof and collision-proof, scratch-proof |
| Body Craftsmanship | Aluminum alloy CNC carved anodized frame + back shell sheet metal powder coating process | |
| Color | Black + Silver | |
| Standard Features | Turnstile-Electromagnetic Lock Linkage | Connect to the gate barrier and electromagnetic lock, and set it up to open the door after a successful verification |
| Network Upload | Cooperating with the server software, it can realize the upload and summary of comparison information of multiple terminals | |
| Installation | Wall-Mounted | |
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| Model Number: | JP1104A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Packaging Details: | 10.1-inch |
| Payment Terms: | T/T |
Product Overview
In high-security scenarios such as finance, government affairs, and data centers, although facial recognition has become widespread, it still faces threats from forged attacks such as photos, videos, and 3D masks. The 10.1-inch vertical screen wall-mounted facial recognition + finger vein access control tablet has emerged - this is a multi-modal access control terminal that integrates deep learning facial recognition and finger vein recognition, and is equipped with IC card swiping. Finger vein recognition utilizes near-infrared light to transmit the finger and capture the distribution map of subcutaneous veins for identity verification. Its false acceptance rate (FAR) can be lower than 0.0001%, making it one of the most secure biometric recognition technologies currently available. The device features a 10.1-inch high-definition vertical screen and a wall-mounted installation design, and is widely used in high-security access control areas such as bank vaults, data centers, laboratories, and government agencies.
Core value: Facial recognition × Finger vein recognition, building a dual security defense line
1. Finger vein recognition - The of biometric recognition
Different from traditional fingerprint recognition (epidermal features, replicable) or facial recognition (susceptible to lighting and makeup), finger vein recognition technology has the following irreplaceable advantages:
Internal features, extremely difficult to forge: It recognizes the internal vein vascular network of the finger, hidden beneath the skin, which cannot be replicated through photos, 3D printing, or fingerprint films
Forced live body detection: Only flowing blood can generate an effective near-infrared absorption signal, and live body detection is naturally integrated
Ultra-high precision: The false acceptance rate (FAR) of finger vein recognition can be lower than 0.0001%, and the false rejection rate (FRR) is ≤ 0.01%
Not affected by the surface condition of the finger: Dehydration, sweating, moisture, wear and tear, etc. do not affect the recognition effect
Non-contact and more hygienic: The recognition process does not require contact with the device, avoiding the risk of public contact transmission
2. Android 11 open platform, flexible expansion and integration
The device is equipped with the Android 11 operating system, providing an open application ecosystem and secondary development interfaces. It supports remote management via the web and provides standard SDK and API interfaces, making it easy to integrate with third-party access control management systems, attendance systems, or OA platforms.
| 10.1-Inch Finger Vein and Face Recognition Visible Intercom Access Control All-in-One Machine Parameters | ||
|
Basic Parameters |
Operating System | Android 11 system, also supports Ubuntu20.04, Debian10, Linux, Buildroot and Hongmeng system |
| Performance | RK3568, a quad-core Cortex-A55 architecture processor with a main frequency of up to 2.0MHz, a built-in convolutional neural network accelerator NPU, and supports 1T computing power | |
| Configuration | 2GB RAM + 16GB storage memory, LPDDR4 optional 4GB/8GB, EMMC supports up to 128GB | |
| LCD Screen Size | 10.1 inches | |
| Screen Resolution | 800*1280 | |
| Viewing Angle | IPS full viewing angle | |
| Brightness | 500cd/m², stable performance, service life of up to more than 60,000 hours, able to work 24/7 all year round | |
| Touchscreen | 10-point G+G capacitive touch screen, any point can withstand more than 50 million touches | |
| Camera | Binocular: visible light + infrared light, 2 million pixels, ultra-wide dynamic range, support for liveness detection, anti-backlight and strong light, selectable shooting focal length | |
| Finger Vein Module | Module Functions: Integrated vein information acquisition, filtering, binarization, template generation, dynamic library recognition/ID number output | |
| SOC parameters: 144MHz, 32-bit Cortex-M architecture high-performance processor | ||
| Recognition Mode: Front-capture front-compare, 1:N or 1:1; Front-capture rear-compare, 1:N or 1:1 | ||
| Recognition Speed: < 0.6 seconds | ||
| User Capacity: 1:1 – unlimited (expandable); 1:N – 100 (default) | ||
| False Acceptance Rate (FAR): < 0.0001% (at the highest security level) | ||
| False Rejection Rate (FRR): < 0.01% (at a higher security level) | ||
| Self-Learning Function: Prioritizes fusion and recalculation for templates with lower matching success rates | ||
| Fill Light | White LED light | |
| WIFI | High-performance WIFI, supports 802.11B/G/N | |
| Bluetooth | High-performance Bluetooth, supporting BT V5.2 | |
| Ethernet | 1 10/100/1000Mbps adaptive Ethernet | |
| Microphone | Optional | |
| 4G | Optional | |
| Tamper Alarm | Support | |
| Speaker | Built-in 8Ω/3W | |
| Working Parameters | Voltage 12V; Current 3A; Operating temperature-25℃～+75℃; Humidity 5%~93%RH non-condensing | |
| Face Algorithm |
Dynamic face detection and tracking based on video stream, 1:N recognition algorithm; Dynamic dual-camera anti-counterfeiting completely solves the problem of photo and video fraud on various media; Supports 20,000 face photo libraries and 1 million recognition records; When the face database is 20,000, the false recognition rate is 0.01% and the pass rate is 97%; |
|
| External Interfaces | 1 USB, 1 RJ45, 1 DC, 1 headphone, 1 TF card slot, 1 SIM card slot, 1 HDMI, can connect to 485/232/relay | |
|
Materials |
Surface Material | Mohs Level 7 Tempered glass explosion-proof and collision-proof, scratch-proof |
| Body Craftsmanship | Aluminum alloy CNC carved anodized frame + back shell sheet metal powder coating process | |
| Color | Black + Silver | |
| Standard Features | Turnstile-Electromagnetic Lock Linkage | Connect to the gate barrier and electromagnetic lock, and set it up to open the door after a successful verification |
| Network Upload | Cooperating with the server software, it can realize the upload and summary of comparison information of multiple terminals | |
| Installation | Wall-Mounted | |
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