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Linux Face Recognition Temperature Scanner DC12V 2A With Temperature Detection

Categories Face Recognition Turnstile
Brand Name: Ironman
Model Number: TJ-Face-01
Certification: ISO9001
Place of Origin: china
MOQ: 1pc
Price: Negotiation
Payment Terms: L/C, T/T
Supply Ability: 2000 pc per/month
Delivery Time: 8-15 work days
Packaging Details: carton packing
Name: Facial Recognition And Temperature Scanner
OS: Linux
Input: 100V~240V
Power Supply: DC12V/2A
Packing size(mm): 440*200*105
Single pack (g): Around 2000g
Net weight(g): Around 1100g
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Linux Face Recognition Temperature Scanner DC12V 2A With Temperature Detection

Linux Face Recognition Temperature Scanner DC12V 2A With Temperature Detection


1. Product description

This terminal is a front-end face recognition tablet based on deep learning (DV300 solution) with very flexible features. It adopts HiSilicon industrial-grade embedded Linux platform, built-in neural network computing processor and 2 million pixel full HD WDR color camera to cope with backlight dark light and half-bright-half-dark face environment. The imported medical-grade temperature measurement chip can quickly and accurately measure the body temperature on the forehead, and can work continuously and stably in the complicated and severe environment. The local face library can store 50,000 faces, which can be used for offline identification comparison. This device has rich tail cable interfaces and flexible configuration. It can be equipped with QR code recognition including health QR code, external swiping card and ID card, etc.

2. Product characte

2.1 Reliable offline recognition and compariso

This device is mainly used for channel face recognition and comparison, non-contact temperature screening and early warning, and access control. It can also cooperate with cloud platforms to form smart campuses, smart communities, smart parks, and smart construction sites.

  • 1 /2.8" wide dynamic low illumination CMOS, image resolution 1920(H)*1080(V), frame rate up to 25 frames;
  • uLow illumination CMOS, 0.01Lux@(F1.2, AGC ON);
  • uHigh-performance embedded processor, integrating image acquisition, face detection, face tracking, face comparison, and living body judgment in one device;
  • Autonomous CNN neural network algorithm, dynamic recognition does not require special cooperation;
  • uSupport panoramic image, partial close-up image output;
  • uSupport the identification of faces, helmets, face masks, etc.;
  • uSupport QR code recognition (including health code);
  • Support accurate and rapid temperature measurement in severe environment (up to 40 degrees); support forehead temperature measurement up to 1.2 meters;
  • uSupport the comparison mode of person and certificate;
  • uRecognition speed≤80ms, recognition rate≥99%;
  • uSupport 50000 portrait library;
  • uSupport video overlay; support Wiegand protocol;
  • Anti-thunder and anti-surge protection measures;

2.2 Efficient group management

This device supports access to DingTalk and corporate WeChat to make team management more convenient and efficient.

2.3 Efficient access control

For gateways with high and dense traffic, this device can complete efficient comparison of local snapshots, non-contact body temperature screening and early warning, and can also capture facial information within 2 meters of the device and report the data to the designated terminal to achieve multi-level linkage.


2.3 Appearance characteristics


Appearance characteristics
MaterialPacking size(mm)Single pack (g)Net weight(g)Screen size(in)
Aluminum alloy + tempered glass panel

440*200*105


Around 2000Around 11007
Packing list
Main product X1, wall mounting bracket X1, expansion rubber plug X4, M4 tapping screw X4, certificate X1, manual X1, warranty card X1, 12V 2A adapter X1

3. Detailed specifications

Basic parameters
Sensor1/2.8 "Progressive scan CMOS
Minimum illumination0.01Lux@(F1.2,AGC ON)
Shutter1/100s~1/10000s
LensDual Sony 6mm lenses
Day and night parametersSelf-adaptive
Wide dynamicSupport
Voice broadcastSupport, support TTS voice broadcast customization; abnormal body temperature alarm
Video
Video standardH.264
Bit rate1024Kbps~4Mbps
Video size1920(H)*1080(V)
Frame rate25fps
Video settingsExposure (shutter), gain, contrast, saturation, face exposure compensation
Identification characteristics
Operating modeOnline, offline, automatic
ContentPortrait, optional (QR code recognition (including health code), advertisement playback, external card swiping (IC+ID))
Identification type1: N
Detection typeLiveness detection
Recognition speed≤80ms
Recognition rate≥99%
Recognition distance0.5-2 meters
Temperature measurement distanceThe farthest 1.2 meters (accuracy plus or minus 0.2 )
Face library50000
Face library importImport of single pictures, batch pictures, real-time snapshots, and platform assigned
Snapshot
Image FormatJPEG encoding
SnapshotsPanorama, partial close-up
Picture size1920*1080 (panoramic picture), partial close-up pictures are based on actual picture
Local storageBuilt-in 8GB eMMC for resumable transmission
Snapshot storageClose-up picture: single device supports 640,000 (insert 64G TF card)
Panorama: single device supports 320,000 (insert 64G TF card)
Modes
Output modeWiegand 26/34/66, relay
Trigger modeVideo trigger, swipe card, swipe ID card, QR code
SDKMulti-platform (Linux, Arm, Windows), multi-language (Java, C++, C#)
Network characteristics
ProtocolsONVIF, TCP/IP, HTTP, FTP, 485, GB28181, Wiegand, DNS, NTP
General functionHeartbeat, password protection, NTP time adjustment
Working Environment
Power supplyDC 12V 2A
Power consumption≤8W
Working temperature-20℃~+70℃
Working humidity0%-90%
SafeguardAnti-thunder, anti-surge

4 Quick installation instructions

4.1 Standard accessory bracket installation


4.2 Standing bracket installation (the bracket can be offered on an extra purchase)


5 Peripheral interface

lConventional access control is connected to "switch signal 1", and switch signal 2 is usually used as an alarm output IO interface.


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