THERMAL CAMERA – MID-RANGE

Mid-range Thermal Camera measures temperature of individuals within 5-meter range and auto-detects individuals without face mask or ones with high temperature using real-time smart visual processor and infrared image technology.

The system can be used in quarantine areas or at the entrance of any buildings, offices, schools, hospitals, and supermarkets, where a high number of entering people needs to have their temperature monitored during the COVID-19 pandemic.

BENEFITS

  • Safe. Temperature is automatically measured and monitored through the web or internal system. This prevents close exposure with COVID-19 positive cases and further spread of the coronavirus, reducing risks and keeping the community safe.
  • Accurate. Using medical infrared thermometer, Mid-range Thermal Camera bears high accuracy – up to 0.3 °C – and can generate precise thermography.
  • Fast. Mid-range Thermal Camera automatically measures each and every single individual’s temperatures simultaneously within the 5-meter range in only 0.5 – 1s.
  • Convenient. Mid-range thermal Camera is easy to be installed and managed. It is constantly updated and upgraded, and can be modified or customised to fit each clients’ needs.  
  • Secured. Data is guaranteed to be private and secured within cloud storage or internal server.

APPLICATION

Operating Model

Step

1

Thermal Camera auto-detects and measures temperatures of all individuals within 5-meter range.

Step

2

Real-time visual and thermography are transmitted to manager’s web app via cloud or internal system.

  • Thermography shows the temperature of people within the camera sight. 
  • Real-time image detects and identifies each individuals. This data is saved, along with the corresponding temperature.

Step

3

  • Thermal camera auto-detects individuals without masks and ones with abnormally high temperature and gives warning on-site and to the manager via internal system or messages.
  • All data is stored in cloud storage or internal system, allowing access to past images, temperatures, time of entrance and movement of subjects.

TECHNOLOGY

  • Artificial Intelligence
  • Embedded
  • Web application
  • Python
  • Open CV
  • AWS Elastic Load Balancer
  • Websocket
  • Amazon RDS
  • Amazon EC2