Fever Detection Kiosk

With the current concerns surrounding the COVID-19 Pandemic, we are excited to offer the following product that can provide an opportunity for businesses and schools to maintain safety as they transition back to their professional communities.  This product will ensure that anyone displaying an elevated temperature  can be immediately excluded from entry, thus maintaining a safe environment for all concerned.

Supports rapid body temperature detection

Digital detection face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates face recognition technology and non-contact temperature detection technology. The digital detection 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.

Fever Detection Kiosk

Key Features and Capabilities

  • Wrist Temperature Detection. Ideal for providing added security in high traffic places, it allows you to detect elevated temperatures in individuals passing through your business without any contact. Small in size, big on efficiency, it detects up to 30 people per minute.
  • Mask Wearing Detection.  Advanced analytics can indicate when an individual is wearing a mask and sets off an additional voice alarm to those who aren’t wearing one.
  • Ultra-Fast Recognition. From retail stores to busy airports, the wrist temperature detection is the perfect solution for detecting individuals in high-traffic areas like airports and high-vulnerability environments like nursing homes, with a speedy recognition time of 0.2 seconds per individual.
  • Advanced algorithm for accurate detection. With a built-in learning chip and a deep learning algorithm model, it provides a face recognition accuracy rate of greater than 99 percent.

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 (with images)
Measurement Range 30°C - 45°C
Measurement Accuracy 0.1°C
Measurement Deviation ≤0.5°C
Measurement Distance 1cm-3cm
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 1 Card
User Management Support user library addition, deletion, update
Record Management Support local recording and realtime 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) For terminal : 134.0mm×33.0mm×305.0mm
Working Environment For terminal: −20°C ~ +65°C,
Relative Humidly<95% (noncondensing)
Protection Level Both terminal and module: IP 54
Application Situation Indoor, No wind

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Product Features

+ Support non-contact detection of wrist temperature, 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 wrist temperature detection module, measurement range is between 30°C to 45°C, measurement accuracy can reach 0.1°C, measurement deviation is less than or equal to 0.5°C, and measurement distance is between 1cm to 3cm

+ Deep learning algorithm model based on 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 anti-spoofing 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 (with images)

+ Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active

$1800 per module

1 and 2 year financing available upon approval.  501C3 nonprofit organizations receive a discount.

Monday - Friday 8:00 - 4:30PM (ET)

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802-296-6800

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