20 years of face recognition customized high-end engineering selection Face recognition terminal chip
1.1 Product introduction
An AI-based front-end facial recognition device that integrates front-end facial capture, comparison, and result output into a single access control system. It uses an industrial-grade embedded SOC (Linux system) to dynamically capture facial images and quickly search and identify targets in the local facial database. The device features a self-developed AI facial recognition algorithm with world-leading capabilities, enabling access management at entry and exit points. It supports a local facial database of up to 50,000 entries, can be equipped with IC card swiping, has a recognition speed of ≤120ms, and a recognition rate of ≥99.9%. Equipped with full HD color cameras, high-definition infrared cameras, and dual-light composite cameras, the binocular camera can easily handle backlit, dark, and yin-yang face environments, offering reliable offline recognition and binocular liveness detection. The device can seamlessly integrate with an accompanying attendance platform to record attendance and generate reports, supporting most commercially available barriers and access control systems. This high-performance facial recognition terminal supports both column and wall mounting options.
1.2 product features
l 2 megapixels;
l CV550 embedded SOC (Linux);
l Bipointive detection;
l 50,000 person image library;
l Optional dual frequency card swiping (IC+ID);
l Support K12 children face recognition;
l Support offline identification;
l Support for PIR LAN export;
l Supports Weaving protocol output, 26-bit/34-bit is configurable;
l Some local housing and construction platforms are connected (optional);
2 Customizable features
| Customizable optional items for this machine |
| Optional features | function | standard |
| 4G | 4G communication | Full Internet access |
| WIFI | WIFI internet business | IEEE 802.11 b/g/n |
| Housing and construction platform | Real-name system for housing construction platform | Location of the consulting project |
| swing card | Burn IC or ID cards | ISO14443 Type A |
3 Specification parameters
| essential parameter |
| processor | RV1106G3,ARM Cortex-A7,1.2GHZ |
| display screen | 7-inch HD IPS screen |
| sensor | 1/2.9" CMOS |
| minimal illumination | 0.01Lux@(F1.2,AGC ON) |
| shutter | 1/25 second to 1/10,000 second |
| camera lens | 4.32mm ± 5% fixed focus |
| Wide Dynamic | support |
| Digital noise reduction | self-regulation |
| Backlight compensation | support |
| voice broadcast | Support built-in, support TTS voice broadcast customization; |
| Snap function |
| picture format | Use JPEG encoding |
| Close-up image size | 704*976 (PX), local close-up according to the actual picture ratio |
| Panoramic image size | 720*1280(PX) |
| Smart features |
| recognition mode | Untracked dynamic portrait recognition |
| Identify the type | 1:N |
| bio-assay | Strong level / weak level / off mode can be set |
| Human image library | 50,000 faces, 50,000 card numbers |
| Travel records | 100,000 cycles of coverage |
| Recognition speed | ≤120ms |
| Identify the distance | 0.5-1.5 m (open live detection) 0.5-2.5 m (close live detection) |
| The portrait library was issued | Single image, batch image, card swiping registration (optional), platform distribution, secondary development and docking |
| Management type | Blacklist, whitelist and ordinary personnel |
| Output mode | Weigand 26/34 relay |
| Trigger mode | Video, optional card swipe, optional ID card |
| Network functions |
| Support agreements | TCP/IP,HTTP,DNS,NTP, websocket,MQTT； |
| General functionality | Heartbeat, password protection, NTP time correction |
| joggle |
| communication interface | 1 RJ45 10M/100M adaptive Ethernet port/optional WIFI/optional 4G |
| Relay interface | Relay output on line 1 |
| Weaving interface | Road 1 leads out |
| Other parameters |
| source | DC 12V/2A |
| power dissipation | ≤8W |
| working temperature | -20℃～＋70℃ |
| Working humidity | 5%-90% (no condensation) |
4 Outer dimensions
4.1 Packaging properties
| Appearance characteristics |
| material | packing measurement (mm) | Packaging per unit (g) | net weight (g) | screen size (in) |
| Aluminum alloy + tempered glass panel | 445*185*115 | About 1815 | About 1295 | 7 |
| packing list |
| Host X1, M4 hex key X1, certificate of conformity X1, instruction manual X1, warranty card X1, 12V2A adapter X1 |
4.2 Appearance description
4.3 Outer dimensions
The column is installed by default in this machine. The diameter of the bolt of the column mounting bracket is 33mm, and the size of the installation opening hole can be 35mm——40mm.
4.4 Wall mounting bracket
Wanli wall hanging bracket
Ultra-thin patch wall mount bracket
4.5 Tail line description
The tail line of this machine has default DC12V/2A interface, relay output, Weigang output and RJ45 interface.
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20 years of face recognition customized high-end engineering selection Face recognition terminal chip Images
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