UNV Thermal Access 7" Tablet & Face Camera OET-213H-BTM32 | C.R. Kennedy
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UNV Thermal Access 7" Tablet & Face Camera

UNV Thermal Access 7" Tablet & Face Camera

  IN STOCK
PRODUCT ENQUIRY
  • Face recognition, password, QR Code and card (Mifare) access control
  • Instant face recoginition within 200ms
  • Equipped with a highly accurate Digital Temperature Mesurement Module for non contact temperature mesurement
  • 4GB storage capacity
Brand: Uniview   |    Code: OET-213H-BTM32
APN: 9319499191313   |    Supplier Code:

DESCRIPTION


OET-213H-BTM32 digital temperature measurement face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates UNV face recognition technology and non-contact temperature detection technology. The digital temperature measurement module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas

FUNCTIONS

  • Support non-contact detection, support warning people with abnormal body temperature
  • Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
  • Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
  • Non-contact temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is 1 meter
  • Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1%
  • Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N)
  • Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate
  • WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
  • Support live detection based on deep learning algorithm, effective against fraud such as photo and video
  • Support face metering and human metering for fast adapting to ambient light
  • Suggested height for face recognition: between 0.8m and 2.2m,face recognition distance: 0.2m to 2.9m
  • Support screen sleep mode, keep the minimum brightness to prevent glare at night
  • Support add up to 6 photos of the base library for a single person
  • Support video capture, support ONVIF protocol
  • Support face, card, password and QR code authentication to control door open
  • Two-way audio with indoor monitor
  • Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity
  • Support tamper protection, door open timeout and time exceed alarm function to keep door opening during fire alarm active

Advantages

Safe use, no direct contact with the target.
Accurate measurement and support dynamic & static signals detection.
High efficiency, support 20-30 people/min.

 

The horizontal and vertical detection ables are 33°.
The maximum temperature measurement distance is 1 meter.
The optimal measuring distance is 0.3m - 0.9m.

 

Temperature Measurement

Real-time temperature detection and screen display.
High temperature alarm and voice reminder.
Snap photos and overlay temperature OSD information.

 

Object with mask

Support face recognition with mask.
UI can indicate whether to wear a mask or not.
Alarm for those who do not wear a mask.

SPECIFICATIONS

Operation System Linux
Face Recognition Accuracy Rate >99%
Face Recognition Time 200ms
Face Capacity 10,000
Card Capacity 100,000
Storage Capacity 4GB
Event Capacity 30,000
Measurement Range 30℃ - 45℃
Measurement Accuracy 0.1℃
Measurement Deviation ≤±0.3℃
Measurement Distance 1m
Authentication Mode Face Whitelist (1 N)
Card:(1:N)
Face +Body temperature
Door Opening Method Face, Password, QR code, Card
Communication Mode 10/100Mbps adaptive network port
Card type Mifare Card
User Management Support user library addition, deletion, update
Record Management Support local recording and real-time upload
Interface LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1,
Lock×1, Door Contact ×1, Exit Button×1
Power Supply Input 12V±25% DC
Screen Touch Screen, Size:7 inch, Resolution: 600×1024
Camera Dual Lens, 2MP, 1080P
Supplement Light LED soft light and infrared light
Dimensions (L W H) 134.0mm x 33.0mm x 305.0mm
Working Environment For access control terminal: −20℃~ +65℃, Relative Humidly<95% (non-condensing)
Protection Level Both terminal and module: IP 54
Application Situation Indoor, No wind
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OVERVIEW

Advantages

Safe use, no direct contact with the target.
Accurate measurement and support dynamic & static signals detection.
High efficiency, support 20-30 people/min.

 

The horizontal and vertical detection ables are 33°.
The maximum temperature measurement distance is 1 meter.
The optimal measuring distance is 0.3m - 0.9m.

 

Temperature Measurement

Real-time temperature detection and screen display.
High temperature alarm and voice reminder.
Snap photos and overlay temperature OSD information.

 

Object with mask

Support face recognition with mask.
UI can indicate whether to wear a mask or not.
Alarm for those who do not wear a mask.

FEATURES

DESCRIPTION


OET-213H-BTM32 digital temperature measurement face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates UNV face recognition technology and non-contact temperature detection technology. The digital temperature measurement module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings, hospitals and other important areas

FUNCTIONS

  • Support non-contact detection, support warning people with abnormal body temperature
  • Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
  • Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value
  • Non-contact temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is 1 meter
  • Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1%
  • Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N)
  • Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate
  • WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
  • Support live detection based on deep learning algorithm, effective against fraud such as photo and video
  • Support face metering and human metering for fast adapting to ambient light
  • Suggested height for face recognition: between 0.8m and 2.2m,face recognition distance: 0.2m to 2.9m
  • Support screen sleep mode, keep the minimum brightness to prevent glare at night
  • Support add up to 6 photos of the base library for a single person
  • Support video capture, support ONVIF protocol
  • Support face, card, password and QR code authentication to control door open
  • Two-way audio with indoor monitor
  • Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity
  • Support tamper protection, door open timeout and time exceed alarm function to keep door opening during fire alarm active

SPECIFICATIONS

SPECIFICATIONS

Operation System Linux
Face Recognition Accuracy Rate >99%
Face Recognition Time 200ms
Face Capacity 10,000
Card Capacity 100,000
Storage Capacity 4GB
Event Capacity 30,000
Measurement Range 30℃ - 45℃
Measurement Accuracy 0.1℃
Measurement Deviation ≤±0.3℃
Measurement Distance 1m
Authentication Mode Face Whitelist (1 N)
Card:(1:N)
Face +Body temperature
Door Opening Method Face, Password, QR code, Card
Communication Mode 10/100Mbps adaptive network port
Card type Mifare Card
User Management Support user library addition, deletion, update
Record Management Support local recording and real-time upload
Interface LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1,
Lock×1, Door Contact ×1, Exit Button×1
Power Supply Input 12V±25% DC
Screen Touch Screen, Size:7 inch, Resolution: 600×1024
Camera Dual Lens, 2MP, 1080P
Supplement Light LED soft light and infrared light
Dimensions (L W H) 134.0mm x 33.0mm x 305.0mm
Working Environment For access control terminal: −20℃~ +65℃, Relative Humidly<95% (non-condensing)
Protection Level Both terminal and module: IP 54
Application Situation Indoor, No wind