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Brand Name : HUSHIDA
Model Number : AI-F2
Certification : ISO9001 24001, 3C, CE, Rohs, FCC
Place of Origin : Guangzhou,China
MOQ : 1 units
Price : Negotiable
Payment Terms : T/T, Western Union
Supply Ability : 10,000 units per month
Delivery Time : 1-10 days
Packaging Details : Packed in carton firstly,and then reinforced with wooden case for outer packing
Product Name : Face Intelligent Passing Machine
Size Of Panel : 8 inch
Front frame : Aluminum alloy front frame + tempered glass
Automatic fill light : automatic fill light switch
Ergonomic design : Artificial camera, identify human body height between 150cm-190cm
Application : Indoor
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;
● 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;
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
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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 |
Facial Recognition To Measure Temperature
It is based on infrared thermal imaging technology, using imported infrared sensor and 2-megapixel binocular live wide dynamic camera,
face recognition within a distance of 0.3 m-0.5 m while collecting body temperature. It works even if you wear a mask on your face, better prevent cross-infection.
Advantage Of Face Recognition Machines
1. We accept OEM/ODM service for packing/ software/ hardware.
2. We offer free SDK/API files for integration works.
3. The device comes with an IMX307 sensor, better image performance.
4. Stable quality control, all electronic components used first-line suppliers.
5. Our own developed face tracking exposure algorithm(linear mode), WDR≥110DB
6. The Hi516DV300 supports the Neural network acceleration engine (NPU) with processing performance up to 1.0 TOPS.
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Indoor 8 Inch Face Access Control Live Detection WF3 Series With Binocular Camera Images |