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| Model Number: | JP1821A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Delivery Time: | 10 working days |
| Payment Terms: | T/T |
Product Overview:
This product is an 8-inch vertical screen facial recognition terminal designed for access control gate scenarios. It is equipped with Win operating system and 3D structured light camera, integrating high-security facial recognition technology and the powerful software compatibility of the Wind platform. The device is specifically designed for embedded installation on gate posts and can provide a fast and seamless "face recognition passage" experience. It is suitable for high-traffic entrances and exits in subways, office buildings, parks, government offices, etc.
Core functions and highlights:
1. 3D structured light camera, payment-level security
Unlike traditional 2D or binocular cameras, this device adopts 3D structured light live detection technology. It projects millions of infrared light points to capture the three-dimensional depth information of the face. It can effectively defend against two-dimensional and three-dimensional forgery attacks such as photos, videos, and 3D masks, and can work stably in complex lighting conditions such as strong backlight and low light. The security level reaches the standard of financial payment.
2. Wind system, open and flexible
It is equipped with Win operating system (such as Win 7/10 IoT version), supports SQL database, and provides open API interfaces. It can be easily connected to enterprise OA systems, visitor management platforms, or third-party access control controllers. Compared with embedded Linux system, the Win platform has stronger adaptability for industry application software, customized secondary development, and complex network environments.
3. 8-inch vertical screen, dedicated for access control gates
It is equipped with an 8-inch IPS high-definition touch screen with a resolution of 800×1280 (vertical screen ratio), which is in line with the installation posture of access control gate posts. The device is pre-set with the standard opening hole installation for gates (such as a hole diameter of 50mm), and is combined with adjustable elevation and left-right angle brackets, which can meet the recognition requirements for different gate styles and heights ranging from 1.2 meters to 2.2 meters.
4. High-performance algorithms, fast passage
It is equipped with a high-performance processor, combined with deep learning facial recognition algorithms. The 1:N face comparison speed can be controlled within 340 milliseconds to 0.5 seconds. It supports up to 100,000-level local face libraries, meeting the needs of enterprises with tens of thousands of people or public transportation scenarios. It supports binocular live detection and face tracking exposure in strong backlight environments, ensuring passage efficiency.
5. Rich interfaces, seamless integration with access control gates
It is equipped with RJ45 gigabit Ethernet, Wiegand 26/34 input/output, RS485 serial port, USB2.0, and relay switch quantity output interfaces. It can directly control the gate opening, connect ID readers or external QR code scanning modules, and achieve "person-identity comparison" or "multi-modal combination verification".
Applicable scenarios
Public transportation: Facial recognition payment for subway gates, BRT rapid bus, and tram
Government and enterprise parks: Government buildings, research centers, and smart parks with high security access points
Financial institutions: Bank VIP rooms, vaults, etc. areas with high security levels
Smart campuses: Library, gymnasium, laboratory access channels
| 8-Inch Win System Facial Recognition All-in-One Machine Parameters | ||
|
Basic Parameters |
Operating System | Win 10 system |
| Performance | 2.4GHz main frequency, octa-core | |
| Configuration | 4G RAM+64G Storage Memory | |
| LCD Screen Size | 8 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 perform 24/7 all year round | |
| Touchscreen | 10-point G+G capacitive touch screen, any point can withstand more than 50 million touches | |
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3D Structured Light Camera |
Depth accuracy: ±3 mm @ 0.5 m, ±4 mm @ 0.8 m, ±7 mm @ 1.0 m | |
| Face recognition working distance: 0.3 – 1.0 m | ||
| Scanning working distance: 5 – 30 cm | ||
| Depth data format: Raw 16 | ||
| Depth resolution: 480 × 768, frame rate: 12 fps, FOV: 51° (H) × 74° (V) | ||
| Face recognition color data format: JPEG | ||
| Face recognition color resolution: 480 × 768, frame rate: 25 fps, FOV: 51° (H) × 74° (V) | ||
| Infrared data format: Raw 8 | ||
| Infrared resolution: 480 × 768, frame rate: 12 fps, FOV: 51° (H) × 74° (V) | ||
| WIFI | High-performance WIFI, supports 802.11B/G/N | |
| Bluetooth | High-performance Bluetooth, supporting BT V5.2 | |
| Ethernet | 1 10/100/1000Mbps adaptive Ethernet | |
| Three-Color Indicator Light | Red, blue, green | |
| 4G | Optional | |
| Speaker | Built-in 8Ω/3W | |
| Working Parameters | Voltage 12V, Current 4A, Operating temperature -25℃~+75℃, Humidity 5%~93%RH non-condensing | |
| External Interfaces | 2 USB, 1 RJ45, 1 Relay output, 1 DC, 1 switch | |
| 3D Face Algorithm | Built-in advanced 3D face recognition algorithm | |
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Materials |
Surface Material | Mohs Level 7 Tempered glass, explosion - proof, anti - collision, anti -scratch |
| Body Craftsmanship | CNC-machined aluminum alloy with anodized finish | |
| Color | Black | |
| 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 | Pole-Mounted | |
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| Model Number: | JP1821A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Packaging Details: | 8 inches |
| Payment Terms: | T/T |
Product Overview:
This product is an 8-inch vertical screen facial recognition terminal designed for access control gate scenarios. It is equipped with Win operating system and 3D structured light camera, integrating high-security facial recognition technology and the powerful software compatibility of the Wind platform. The device is specifically designed for embedded installation on gate posts and can provide a fast and seamless "face recognition passage" experience. It is suitable for high-traffic entrances and exits in subways, office buildings, parks, government offices, etc.
Core functions and highlights:
1. 3D structured light camera, payment-level security
Unlike traditional 2D or binocular cameras, this device adopts 3D structured light live detection technology. It projects millions of infrared light points to capture the three-dimensional depth information of the face. It can effectively defend against two-dimensional and three-dimensional forgery attacks such as photos, videos, and 3D masks, and can work stably in complex lighting conditions such as strong backlight and low light. The security level reaches the standard of financial payment.
2. Wind system, open and flexible
It is equipped with Win operating system (such as Win 7/10 IoT version), supports SQL database, and provides open API interfaces. It can be easily connected to enterprise OA systems, visitor management platforms, or third-party access control controllers. Compared with embedded Linux system, the Win platform has stronger adaptability for industry application software, customized secondary development, and complex network environments.
3. 8-inch vertical screen, dedicated for access control gates
It is equipped with an 8-inch IPS high-definition touch screen with a resolution of 800×1280 (vertical screen ratio), which is in line with the installation posture of access control gate posts. The device is pre-set with the standard opening hole installation for gates (such as a hole diameter of 50mm), and is combined with adjustable elevation and left-right angle brackets, which can meet the recognition requirements for different gate styles and heights ranging from 1.2 meters to 2.2 meters.
4. High-performance algorithms, fast passage
It is equipped with a high-performance processor, combined with deep learning facial recognition algorithms. The 1:N face comparison speed can be controlled within 340 milliseconds to 0.5 seconds. It supports up to 100,000-level local face libraries, meeting the needs of enterprises with tens of thousands of people or public transportation scenarios. It supports binocular live detection and face tracking exposure in strong backlight environments, ensuring passage efficiency.
5. Rich interfaces, seamless integration with access control gates
It is equipped with RJ45 gigabit Ethernet, Wiegand 26/34 input/output, RS485 serial port, USB2.0, and relay switch quantity output interfaces. It can directly control the gate opening, connect ID readers or external QR code scanning modules, and achieve "person-identity comparison" or "multi-modal combination verification".
Applicable scenarios
Public transportation: Facial recognition payment for subway gates, BRT rapid bus, and tram
Government and enterprise parks: Government buildings, research centers, and smart parks with high security access points
Financial institutions: Bank VIP rooms, vaults, etc. areas with high security levels
Smart campuses: Library, gymnasium, laboratory access channels
| 8-Inch Win System Facial Recognition All-in-One Machine Parameters | ||
|
Basic Parameters |
Operating System | Win 10 system |
| Performance | 2.4GHz main frequency, octa-core | |
| Configuration | 4G RAM+64G Storage Memory | |
| LCD Screen Size | 8 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 perform 24/7 all year round | |
| Touchscreen | 10-point G+G capacitive touch screen, any point can withstand more than 50 million touches | |
|
3D Structured Light Camera |
Depth accuracy: ±3 mm @ 0.5 m, ±4 mm @ 0.8 m, ±7 mm @ 1.0 m | |
| Face recognition working distance: 0.3 – 1.0 m | ||
| Scanning working distance: 5 – 30 cm | ||
| Depth data format: Raw 16 | ||
| Depth resolution: 480 × 768, frame rate: 12 fps, FOV: 51° (H) × 74° (V) | ||
| Face recognition color data format: JPEG | ||
| Face recognition color resolution: 480 × 768, frame rate: 25 fps, FOV: 51° (H) × 74° (V) | ||
| Infrared data format: Raw 8 | ||
| Infrared resolution: 480 × 768, frame rate: 12 fps, FOV: 51° (H) × 74° (V) | ||
| WIFI | High-performance WIFI, supports 802.11B/G/N | |
| Bluetooth | High-performance Bluetooth, supporting BT V5.2 | |
| Ethernet | 1 10/100/1000Mbps adaptive Ethernet | |
| Three-Color Indicator Light | Red, blue, green | |
| 4G | Optional | |
| Speaker | Built-in 8Ω/3W | |
| Working Parameters | Voltage 12V, Current 4A, Operating temperature -25℃~+75℃, Humidity 5%~93%RH non-condensing | |
| External Interfaces | 2 USB, 1 RJ45, 1 Relay output, 1 DC, 1 switch | |
| 3D Face Algorithm | Built-in advanced 3D face recognition algorithm | |
|
Materials |
Surface Material | Mohs Level 7 Tempered glass, explosion - proof, anti - collision, anti -scratch |
| Body Craftsmanship | CNC-machined aluminum alloy with anodized finish | |
| Color | Black | |
| 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 | Pole-Mounted | |
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