Place of Origin: | Guangzhou,China |
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Brand Name: | HUSHIDA |
Certification: | ISO9001 24001, 3C, CE, Rohs, FCC |
Model Number: | AI-F2 |
Minimum Order Quantity: | 1 units |
Price: | Negotiable |
Packaging Details: | Packed in carton firstly,and then reinforced with wooden case for outer packing |
Delivery Time: | 1-10 days |
Payment Terms: | T/T, Western Union |
Supply Ability: | 10,000 units per month |
The overall quality of this product is ensured by our professional QC team.
Product Name: | Face Intelligent Passing Machine | Size Of Panel: | 8 Inch |
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Front Frame: | Aluminum Alloy Front Frame + Tempered Glass | Standard: | CE/ROHS/FCC/ISO9001 |
Color: | High-quality Cold-rolled Sheet | Automatic Fill Light: | Live Detection, Automatic Fill Light Switch, Face Can Be Clearly Identified At Night |
Ergonomic Design: | Artificial Camera, Identify Human Body Height Between 150cm-190cm | Application: | Indoor |
High Light: | facial recognition access control,face recognition access control |
HUSHIDA Face Access Control F2 Series Automatic Fill Light Switch
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.
The face recognition integrated machine can effectively check the visitor and record it for easy review and review; non-manual authentication, fast face recognition, verification can be completed in one second; automatic registration of historical registration data can be used to shorten the registration time, Reducing work pressure; automatic display of historical registration data, eliminating the need for repeated inquiries, and reducing the difficulty of work; face recognition and access control all-in-one machines are widely applicable to face recognition scenarios in various areas such as gateways, subway security inspections, public security buildings, banks, and communities.
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;
● The device supports management, query, and setting of device parameters after local login. Data can be imported and exported through a USB flash drive;
● The device supports external access control host or Wigan card reader through the international standard Wigan protocol (W26 W34);
● The safety gating module can be connected via RS485, and the safety gating module can be connected to the electric control lock. The door will not be opened if the host is maliciously damaged;
● The device can output a fixed voice prompt for the authentication result;
● With watchdog guard mechanism to ensure the stable operation of the equipment;
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 |
Clients can greatly benefit from the product for its stable performance, long functional life.