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Features

Specifications

Special Features: Temperature Measurement, Built-in Camera

Data Storage Options: Cloud, Memory Card

Application: Indoor, Outdoor

Installation Scenarios: Wall-mounted Installation, Gate Installation

Working Temperature And Humidity: -15â„ƒ To 55â„ƒ, <90â„ƒRH

Protection Level: IP55

Body Size: 246*21.5*123mm

Basic Infomation

Payment & Shipping Terms

Packaging Details: PACKAGE: The corrugated cartons DELIVERY TIME: 10untite 3days 20unite 3days 50 unite 7days 100unite 10days once upon receiving payment

Supply Ability: 10000 Set/Sets per Month

Product Description

Introduction :

As a domestic leading solutions provider of face recognition technology, in order to meet the needs wisdom, intelligent community, using the facial recognition technology and the access control technology combined with an efficient, visitor management, alarm technology optimization of community security system, to reduce dependence on staff community safety management, enhance the level of property management and service efficiency, promote the realty service enterprises to the labor saving transformation.
1.1 Scheme Interpretation
The advent of face recognition system has solved the security early warning, convenient access of residents, intelligent property management and other problems.
1.2 Feasibility analysis of face recognition technology
1.2.1 Face recognition
Face recognition refers to the use of analysis and comparison of visual features of face information for identification of
computer technology. The innovative Deep Neural Network (DNN) technology can well describe the invariants of a specific face, and effectively solve the problem of recognition effect under the face Angle, light, expression, age, makeup, occlusion, image quality and many other changing factors.
1.2.2 Face recognition algorithm process and core technology
Face recognition process ,Face recognition flow chart ;Face recognition is a complex system composed of many face processing modules. Including face detection, key point detection, face regularization, feature extraction, face recognition comparison of five major steps. Among them, face detection, key point detection and face regularization are face pretreatment processes, which extract and process the face in a picture into a standard,
face for later processing. Feature extraction is the core module, which is the main module for deep description of face images and improvement of recognition effect. And each module is composed of many small algorithm units, each module each unit algorithm must do the best, combined identification effect and accuracy can be high.
Face key point detection The face key point detection technology based on global and local algorithms can operate stably in complex environments, including different illumination transforms, various poses, facial expression changes and partially blocked faces, and the detection speed can reach 10ms per frame.
The face of a neat The face picture according to the key points for translation, rotation, zooming and a series of means, aligned to a unified standard face. At the same time, combining the changeable scene and the complexity of illumination, the method of combining immediate radiance and illumination graph is used to deal with the problem of multi-light source in the scene, and the face is processed to the best effect that can be recognized.
Feature extraction The human nervous system is classified in processing information, such as looking at a face picture, first from the pixels to extract the edges of the facial features, then the edge features combined into parts, next part features combined into can express the whole face, finally sentenced to face based on face feature attributes (such as identity, gender, age, race, etc.). In order to map two photos into the same feature space for comparison, deep neural network is used to distinguish face features. The low-level features are abstracted gradually to form high-level features, so that the features have good expression ability and thus enhance the discrimination of features.
The comparison to identify At present, the deep learning algorithm is applied, which can effectively unify and magnify each person's deep features and differences through a large amount of learning data, so as to achieve the optimal classification effect. This technology has a good effect on face attributes (age, gender, expression, race, etc.) and face ID recognition. Chapter II Program Description
2.1 Schematic diagram of the overall scheme
2.2 Actual Application Scenarios
Actual Application Scenarios
2.3 Visitor Management

Basic Parameters


Certification:	CE ,ROSH
Material:	Stainess steel
Power supply:	220V
Transit speed:	35 persons/min
SpeSpecial Features:	Two-way Audio/Waterproof/Weatherproof
Card Type:	Card Type:
SpeSpecial Features:	Two-way Audio/Waterproof/Weatherproof
Size:	L1200 x W280 x H1000mm
Frequency:	125KHz/13.56MHz
Support:	Face/Card/Fingerprint/QR code/Barcode
Warranty:	1 Year Guarantee
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Company Profile

Shenzhen Shouchebao Technology Co., Ltd Founded on July 08, 2016, the predecessor is a veteran sheet metal processing factory, the company is headquartered in Longgang District, Shenzhen City, is a collection of laser cutting, bending, security, security, riot prevention, anti-terrorism and other related products research and development, production, sales and service as one of the high-tech enterprises. As an excellent manufacturer of public safety solutions and an excellent supplier of sheet metal processing, SCB is positioned to build a professional technology research and development, production, sales and service platform in the security industry.The company's products involve security inspection, security and other aspects, including X-ray imaging technology as the core of the baggage security inspection equipment, car inspection system, electromagnetic induction technology as the core of the human body metal detection door, lifting column, roadblock machine, temperature measuring door post disinfection machine and other related high-tech products.Product sales involve customs, railway, civil aviation, public inspection and law department, schools, hotels, scenic spots, express logistics and many other industries.

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