HUSHIDA F3 Series Face Intelligent Passing Machine with Binocular Camera For Corporate Entrance,Meeting Room and Hotel
Product Description:
Face recognition integrated machine is a kind of biometric recognition technology based on the intelligent hardware terminal of the Android system and the facial feature information of a person for identification. The face recognition system integrates a variety of professional technologies such as artificial intelligence, machine recognition, machine learning, model theory, expert systems, and video image processing.
Product Features:
● Post-type industrial design, smooth lines, stable performance, support touch screen operation;
● Touch screen display, software interface and operation prompts, face frame, real-time detection of the largest face, convenient for user calibration;
● Use binocular 1.3 million high-definition wide-angle wide-dynamic camera to support anti-fake photos and videos; use deep learning algorithm to support 20,000 white list of faces, fast recognition speed, high accuracy rate;
● The device supports face, fingerprint, credit card, password, or a combination of each other. 1: N face comparison time is 1S;
● The device supports sending cards or face data through the TCP / IP network platform or USB, and supports stand-alone operation;
● The device supports the event linkage snapshot function and saves the snapshot picture, and the snapshot picture can be exported through the U disk;
● The device supports the data network upload function, which can upload the device comparison results and captured photos to the platform for saving in real time;
● Adopt 2 million intelligent wide dynamic sensor, fearless of strong light, backlight and dark complex light environment
● Support the body temperature detection, temperature display function, temperature abnormal automatic alarm
● Infrared and TGB double complement light, weak light identification without interference
| Specification | 8 inches |
| Front frame | Aluminum alloy front frame + tempered glass |
| Rear shell | High-quality cold-rolled sheet |
| Color | Black |
| Net weight | 1kg (excluding post) |
| Gross weight | 1.1kg (excluding column) |
| Overall size | 248 (W) × 141 (H) × 2.9 (D) mm |
| Power input | DC12V / 3A |
| Horn filter | 2X3W4Ω |
| Overall power consumption | 30W |
| Standby power consumption | 1W |
| CPU | Rockchip RK3288, quad-core ARM Cortex A17 1.8GHz |
| GPU | Quad-core ARM Mali-T764 MP |
| RAM | LPDDR3 1G ~ 4GB (optional) 2GB standard |
| Built-in storage capacity | EMMC8GB / 16G / 32G optional (optional, standard 8GB) |
| Camera | Binocular 130W3. Sensor size: 1 / 2.7 ”CMOS sensor |
Product Tags:
|
|
Indoor 8 Inch Face Access Control Live Detection WF3 Series With Binocular Camera Images
|
