Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261
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Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Overview Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-service device TCF261Product D
Basic Info
Model NO. TCF261
Identification Distance 400-1200mm
Imaging Area 4.73*3.52mm
Light Distortion Less Than 1%
System Support Windows XP, Windows 7, Windows 8, Windows 10, Linu
Camera Lens HD Lens
Transport Package Carton Box
Specification 46*30*26mm
Trademark Eyecool
Origin China
HS Code 8543709990
Production Capacity 50000 Per Month
Product Description
Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-service device TCF261Product Description

brief introduction
Device has both near-infrared and visible light image acquisition functions. In combination with the Eyecool original face recognition algorithm, it realizes the functions of accurate face image acquisition, recognition and liveness detection.

1.Product Introduction
The device adopts near-infrared fill light technology, and has the video acquisition functions using both near-infrared and visible light cameras. Combined with the original face recognition algorithm developed by Eyecool, it can realize accurate face recognition, image acquisition, liveness detection and other functions under different light conditions. It is a high-definition camera integrating video image acquisition, image detection and other functions. Compact size, easy to be embedded into self-service equipment. Using abundant software development interfaces, it can be closely combined with the third-party application management system, and is widely used in many scenarios such as on-site image acquisition, liveness detection, face recognition and identity security authentication.

Detailed Photos

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Product Parameters
Basic ParametersProduct TypeDual mode camera: near infrared and visible light
SensorCMOS
pixelColor: 3 million pixels; Near infrared: 2 million pixels
ResolutionColor: support 320 * 240, 640 * 480, 1280 * 720 *, 1920 * 1080, 2048 * 1536 and other resolutions
Infrared: support 320 * 240, 640 * 480, 1280 * 720 *, 1920 * 1080 and other resolutions
Maximum Frame RateColor:
25FPS @ 2048 * 1536
25FPS @1920*1080
25FPS @1280*960
25FPS @1280*720
25FPS @1280*720
25FPS @1024*768
25FPS @800*600
25FPS @640*480
25FPS @320*240
Infrared:
30FPS@ 1920 * 1080
[email protected]*720
[email protected]*480
30FPS @320*240
Output Format:MJPEG, YUV
Interface TypeDual USB2.0
Drive Type:Drive free
Identification Distance400-1200mm
Imaging Area4.73*3.52mm
Light DistortionLess than 1%
System SupportWindows XP, Windows 7, Windows 8, windows 10, Linux system
Performance Parameter Camera LensHD lens
Exposure ControlAutomatic
White BalanceAutomatic
Wide Dynamic100dB (support semi outdoor environment)
Signal to Noise Ratio≥39dB
Infrared Spectrum850nm
Other ParametersWorking Temperature -30~50ºC
Power SupplyUSB 5v power supply
Working CurrentColor: < 300mA
Infrared: < 350mA
Overall Dimensions41.9x31. 9x26mm
AppearanceMetallic matte black
Product Advantages
  • Accurate and Convenient
Support automatic capture of face images, face detection and comparison, automatic identification of target people and black / white list management
  • High Definition and Performance
The captured image has high definition and camera has unique processing scheme for various color conditions. The camera has strong light processing ability and can take clear images under strong light, weak light and backlight; At the same time, the exposure time, white balance, contrast, brightness, saturation and other parameters can be automatically controlled, and the color restoration is high.
  • Advanced Algorithm
The camera is equipped with the face recognition algorithm of the independent intellectual property rights of Eyecool which realizes face detection and recognition. At the same time, the CMOS photosensitive chip is used to improve the pixels and ensure the face recognition rate and authentication rate.
  • Compact Size
The module structure is small and simple, easy to be embedded into all kinds of self-service devices such as VTM, ATM, etc.
  • Dual mode camera

Supports near infrared and visible light imaging. Dual mode liveness detection can be performed without cooperation to prevent attacks from photos, videos and non living face images.

Application Scenario

The device can be widely embedded in third-party devices for various authentication applications, such as login, authorization and payment

  • Finance
The device is widely used for identity authentication in the financial industry, and embedded in bank integration and self-service equipment such as ATM, CDM, self-service payment machine, self-service card issuing machine, self-service printer, etc.
  • Election
Face biometric information collection, deduplication and identity authentication of legal voters
  • Self-Service Equipment

It is used for self-service scenarios such as access control, attendance system and encryption equipment that require face collection and comparison

Binocular Near Infrared Liveness Detection Face Recognition Module for Bank Self-Service Device Tcf261

Certifications

The product has obtained multiple certifications such as CE, RoHS, CQC, etc.

Company Profile

Founded in 1997, Eyecool Technology (formerly Techshino) focuses on the R & D, application and service of multi-modal biometric technology and products. It owns in-house developed single algorithms ranging from fingerprint, face, iris , finger vein to multi-modal biometric algorithm including face and iris fusion, fingerprint and finger vein fusion. Eyecool Technology is committed to provide enhanced digital identity authentication and management for high-security, high-privacy and big database scenario application.

With 25+ development, Eyecool Technology accumulated more than 400 patents and participated in the formulation and revision of 82 national/industry biometric application standards , and the core technology won the second place of the National Science and Technology Invention Award.
The fingerprint recognition algorithm and scanners were selected into the recommended list of application algorithms and equipment by the Ministry of Public Security for resident identity card related application, in domestic market. Fingerprint algorithm passed the compatibility test of NIST MINEXIII. Related fingerprint scanner passed PIV, FIPS 201 and STQC.The face recognition algorithm of Eyecool won the second place in LFW, an international face algorithm evaluation competition. And the latest iris recognition algorithm ranked in 3rd place in the NIST IREX 10, an international iris algorithm evaluation hold by National Institute of Standards and Technology in America. It also won the second place in the international iris recognition algorithm open competition (NICE: II) in 2009. A variety of iris scanners are STQC-certificated.

Eyecool Technology provides a whole set of biometric technology, products and services ranging from algorithm, SDK, an unified platform, application software, to intelligent terminals. Until now, it has already serves more than 2000 customers worldwide, covering finance, public security, government, education, civil aviation, enterprises and institutions etc. In financial sector, Eyecool Technology delivered its products and service to more than 150 banks across the whole country with 180,000 outlets and its market share reaches 80% in biometric application. In addition, Eyecool Technology's products are widely used in more than 100 colleges and universities, 20+ provinces and cities public security.