|
|
| Model Number: | JP2106A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Delivery Time: | 10 working days |
| Payment Terms: | T/T |
Product Overview:
This 10.1-inch wall-mounted facial recognition and fingerprint recognition access control machine is an intelligent access control device that integrates facial recognition and fingerprint recognition technologies. It is equipped with the Android operating system and provides an open platform that supports secondary development to meet the needs of different users.
Technical Features:
1. Operating System: Utilizes Android 11 operating system, providing a stable operating environment and a rich application ecosystem.
2. High-definition Display: Equipped with a 10-inch IPS full-view high-definition touch screen with a resolution of 800×1280, offering clear image display.
3. Dual Cameras: Utilizes a 2-megapixel wide dynamic dual camera, supporting face recognition in low-light or no-light conditions.
4. Multiple Authentication Methods: Supports face, fingerprint, card swiping (IC card, mobile NFC card, CPU card), and password authentication methods. Can be connected with ID card and QR code function modules externally.
5. Large Capacity Storage: Local support for 50,000 face databases, 500,000 cards, 10,000 fingerprints (with an additional fingerprint module), and 500,000 event records.
6. Live Detection: Supports live detection function, effectively preventing various types of attacks such as PS face swapping, video, and high-definition portrait photos.
7. Rapid Recognition: Based on deep learning algorithms, face recognition speed is less than 0.2 seconds, with an accuracy rate of ≥ 99%.
8. Network Connection: Supports wired network and optional WiFi or 4G connections, facilitating device network management.
Application Advantages:
Security: Combines face recognition and fingerprint recognition technologies to provide a higher level of security protection.
Convenience: Users do not need to carry access cards and can pass through quickly by face recognition or fingerprint.
Flexibility: Supports multiple authentication methods to adapt to different user needs.
Application Scenarios:
Suitable for various application scenarios such as office buildings, schools, parks, communities, factories, public venues, etc.
| 10.1-Inch Fingerprint Face Recognition Card Reader Multifunctional Access Control 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 | 1280*800 | |
| 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 | |
| Fingerprint Collection and Recognition Module | Collection method: Capacitive area-array semiconductor sensor, flat pressing | |
| Storage capacity: 500 pieces | ||
| Security level: Level 5 (from low to high: 1, 2, 3, 4, 5) | ||
| False recognition rate (FAR):<0.001% (Security Level:3 ) | ||
| False rejection rate (FRR):<0.1 %(Security Level:3 ) | ||
| Collection window size: 20.4MM*33.4MM | ||
| Image size: 192*192 pixel (efficient 192*192 pixel) | ||
| Image pixels: 508 DPI | ||
| Matching method: Comparison method (1:1)Search method (1:N)(When 500 pieces are fully registered) < 1 second | ||
| Self-learning: Yes | ||
| Card Reader | Optional IC/ID/NFC/ID card reader, reading time <1S, card reading distance: 5-30MM | |
| Speaker | Built-in 8Ω/3W | |
| 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 | |
| PoE | Optional | |
| 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 50,000 face photo libraries and 1 million recognition records; When the face database is 50,000, the false recognition rate is 0.01% and the pass rate is 97%; |
|
| External Interfaces | 2 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, anti-scratch |
| 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 | |
|
| Model Number: | JP2106A |
| MOQ: | Negotiable |
| Price: | Negotiable |
| Packaging Details: | 299 × 197 × 30 mm |
| Payment Terms: | T/T |
Product Overview:
This 10.1-inch wall-mounted facial recognition and fingerprint recognition access control machine is an intelligent access control device that integrates facial recognition and fingerprint recognition technologies. It is equipped with the Android operating system and provides an open platform that supports secondary development to meet the needs of different users.
Technical Features:
1. Operating System: Utilizes Android 11 operating system, providing a stable operating environment and a rich application ecosystem.
2. High-definition Display: Equipped with a 10-inch IPS full-view high-definition touch screen with a resolution of 800×1280, offering clear image display.
3. Dual Cameras: Utilizes a 2-megapixel wide dynamic dual camera, supporting face recognition in low-light or no-light conditions.
4. Multiple Authentication Methods: Supports face, fingerprint, card swiping (IC card, mobile NFC card, CPU card), and password authentication methods. Can be connected with ID card and QR code function modules externally.
5. Large Capacity Storage: Local support for 50,000 face databases, 500,000 cards, 10,000 fingerprints (with an additional fingerprint module), and 500,000 event records.
6. Live Detection: Supports live detection function, effectively preventing various types of attacks such as PS face swapping, video, and high-definition portrait photos.
7. Rapid Recognition: Based on deep learning algorithms, face recognition speed is less than 0.2 seconds, with an accuracy rate of ≥ 99%.
8. Network Connection: Supports wired network and optional WiFi or 4G connections, facilitating device network management.
Application Advantages:
Security: Combines face recognition and fingerprint recognition technologies to provide a higher level of security protection.
Convenience: Users do not need to carry access cards and can pass through quickly by face recognition or fingerprint.
Flexibility: Supports multiple authentication methods to adapt to different user needs.
Application Scenarios:
Suitable for various application scenarios such as office buildings, schools, parks, communities, factories, public venues, etc.
| 10.1-Inch Fingerprint Face Recognition Card Reader Multifunctional Access Control 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 | 1280*800 | |
| 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 | |
| Fingerprint Collection and Recognition Module | Collection method: Capacitive area-array semiconductor sensor, flat pressing | |
| Storage capacity: 500 pieces | ||
| Security level: Level 5 (from low to high: 1, 2, 3, 4, 5) | ||
| False recognition rate (FAR):<0.001% (Security Level:3 ) | ||
| False rejection rate (FRR):<0.1 %(Security Level:3 ) | ||
| Collection window size: 20.4MM*33.4MM | ||
| Image size: 192*192 pixel (efficient 192*192 pixel) | ||
| Image pixels: 508 DPI | ||
| Matching method: Comparison method (1:1)Search method (1:N)(When 500 pieces are fully registered) < 1 second | ||
| Self-learning: Yes | ||
| Card Reader | Optional IC/ID/NFC/ID card reader, reading time <1S, card reading distance: 5-30MM | |
| Speaker | Built-in 8Ω/3W | |
| 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 | |
| PoE | Optional | |
| 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 50,000 face photo libraries and 1 million recognition records; When the face database is 50,000, the false recognition rate is 0.01% and the pass rate is 97%; |
|
| External Interfaces | 2 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, anti-scratch |
| 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 | |
Video
