3 methods of coping with coronavirus pandemic using machine vision

Temperature Measuring Dahua

3 methods of coping with coronavirus pandemic using machine vision

Everyday, machine vision based systems help humans to make their lives easier. Most of vision systems are designed to replace human’s work or make it easier, but how they could help with ongoing fight with coronavirus pandemic? 🤧🤒😷


Engineers have already found a few ways to make it possible and today I will show you three ways machine vision systems help fight coronavirus. ⛮💡

1. Human’s body temperature measurements 🌡️

One of coronavirus’ symptom is increased body temperature – over 38℃ 🌡️. As you probably know, some of public places like airports, hospitals or schools are obligated to measure each person’s body temperature. Conventional methods of measuring body temperature, like touching skin with thermometer, may be very dangerous, as it contributes to virus spreading through these devices.


Dahua’s engineers found the way to make that procedure faster, better and safer. Their machine vision solution is based on thermal camera and it is able to measure three people’s body temperature per second with ±0.3℃ accuracy. 🌡️

2. Unmanned disinfection robot 🤖

In the regions most affected by coronavirus, hospitals are filled with patients. Medical staff has problems admitting such large number of patients, moreover, it is difficult to provide sterile conditions for patients in every hospital room.


Engineers form UVD Robots found the way how machine vision based unmanned robot could help with room disinfection. UVD robot is using UV waves to eliminate and prevent spreading of vira, bacteria and any organic microorganisms in the environment. This solution is safe, reliable and eliminates humans error.

3. The vision system will show you what you cannot see with the naked eye 👁️

The worst thing in current situation is that people cannot see the virus with the naked eye. It is hard to avoid something, that you actually cannot see – like (corona)virus or bacteria.


I have found some interesting solutions of this problem on the web:

  • University of Tokyo has shown concept of smartphone virus scanner. The project assumes using aspheric lens and long pass filter with smartphone camera to count biological viruses.
Viruse scanner made from smartphone

The virus-containing cavities are 4.5 micrometers across and 9 micrometers apart. Credit: Minagawa et al. – University of Tokyo

  • Professor Brian T. Cunningham and his graduate students demonstrate their development of using a smartphone camera as a high resolution spectrophotometer.
  • Flir has shown how their Optical Gas Imaging Camera is able to visualize vaporing from the ethyl alcohol found in hand sanitizer.

In summary, I would like to thank all people, who contribute to the fight against prevailing coronavirus pandemic. 🙏🏻



Remember to stay at home, if it’s possible, and pay special attention to personal hygiene.  🏠 🧼 🧽


Thanks for reading! 😀

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