CD5006AHD-ZJ Live Face Recognition Machine-Face Recognition Machine-Shenzhen CHTOP Technology Co., Ltd._Electronic electrician-Shenzhen CHTOP Technology Co., Ltd.

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Face Recognition Machine

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CD5006AHD-ZJ Live Face Recognition Machine

Product Description1, adopts the world's leading dynamic face detection tracking recognition algorithm based on video flow, combined with high-performance embedded platform and 2.1 megapixel ocular wide dynamic camera to accurately realize face detection, tracking, recognition and display on the

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Product Description

1, adopts the world's leading dynamic face detection tracking recognition algorithm based on video flow, combined with high-performance embedded platform and 2.1 megapixel ocular wide dynamic camera to accurately realize face detection, tracking, recognition and display on the 8-inch screen;

2, supports 1: N mode face comparison, dynamic binocular + live detection and anti-counterfeiting, and completely solve all kinds of photos and video fraud;

3, adopts the LINUX stable system + Hays Hi3516DV300 chip mature scheme, supporting 20,000 face capacity, to meet the needs of most places;

4, adopts binocular wide dynamic camera, which is suitable for indoor and outdoor strong light / reverse light environment, with good transformation resistance to light and wear glasses, and can identify the face 1.5 meters away, and the face ratio takes about 0.5s;

5, supports face brush, IC card (card reader purchase), human card comparison (second generation ID card reader purchase); face + brush IC card double verification; black and white list management;

6, has its own brake support, which can be conveniently installed on the channel gate, combined with the gate integration, beautiful and generous.

7, provides independent developed management background software with perfect software functions: equipment management, personnel / photo management, authority management, record viewing, real-time monitoring, attendance management, etc. Support software and software secondary development and docking.

Detailed description

一、 Technical parameters

Face Capacity	1: N mode	20,000 people
Face recognition	Storage capacity	100,000 control records + fear records
	Identification speed	<0.5s
	Accuracy:	1: N mode: 0.01% error rate (pass rate of 99.7% with 97% pass rate supported)
Display and lighting	Screen parameters	800 * 1280, Full Perspective, 8-inch IPS HD Display
	Screen brightness	≥ 400cd/m2
	Resupplement	Night infrared and LED double complement light
Face camera	Resolution	2.1 MP, 1920 * 1080
	Quantity	2, dynamic ocular wide dynamic lens
	Focus distance	6mm
	White Balance	Automatic
	Wide dynamic	100db,isp algorithm face local exposure
Hardware interface	Local Flash Storage	8G
	USB Extension	USB2.0 Type-A interface
	Serial port	1 * RS485
	Relay output	2.5mm terminal 2P
	wiegand input	2.5mm terminal 2P
	wiegand output	5mm terminal 4P
	Network interface	1 RJ45,10M/100M adaptive Ethernet port, WiFi(optional)
Others	Use environment	Half-outdoor, with a canopy shelter
	Power supply	DC12V/3A
	Operating temperature	-10℃～+50℃
	Working humidity	0~90% Relative humidity, no condensation
	Power consumption	20W MAX
	Installation mode	Support mounting, free tilt ± 30 degrees
	Equipment Size	260 mm(long) × 136 mm(W) × 26 mm(high), metal enclosure
	Column aperture diameter	36mm

II. Software

1, management software has simple and convenient C /S architecture software and cloud platform software; cloud platform can be combined with WeChat small program to use, realize independently upload face information, background administrator audit, mobile visitor reservation, mobile phone remote opening, mobile code scanning door and other functions. Use SM4, MD5, DES and other encryption technologies to ensure the accuracy and safety of data;

2, software is powerful and practical: equipment management, personnel management, authority management, personnel record, visitor management, attendance management, large-screen display, etc.;

3, supports stranger detection, recognition level, recognition distance, and UI interface configuration of front-end equipment; and supports field photo preservation during face recognition or stranger detection;

4, supports various recognition modes: face brush, swipe card, card + face; support software login interface and head-up customization.

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