Thermal scanning and face recognition.


The problem

Due to the COVID-10 the US city government needed to establish an automated solution to track people, who could potentially be a COVID-19 carriers. Especially this was need to be tracked in a public transport as the most virus transferable locations.

Proposed solution

Software and hardware complex with embedded sensors in the buses and cloud server for overall monitoring.


The project required the installation of software and hardware complex in public transport for thermal scanning of the body entering the buses and facial recognition.



  • Sensor - Dahua DH-TPC-BF2120 Thermal Mini Hybrid Bullet Camera PANDEMIC
  • Embedded computing - Nvidia Jeston Nano
  • Package and installation components (power supply, internet connection and etc.)
  • Cloud server - customized virtual machine


  • body tracker
  • thermal sensing module
  • facial recognition module
  • data aggregation module (on cloud server)
  • dashboard and notification module


Any passengers with body temperature higher than 37.3 C were detained and escorted out from public transportation premises. As stated, the dynamics of virus spreading was slowed down by78%