How Video Surveillance can be Used to Fight COVID-19 Outbreak

Video Surveillance

CCTV systems became so widespread lately: we can see video surveillance cameras in public places like airports, railway stations, shopping centers, banks, drugstores, residential complexes, etc. Technology is evolving, and CCTV software is designed not only to ensure private security but also to solve the tasks, most people don’t even suspect of. 

CCTV software Xeoma has lots of video analytical modules based on artificial intelligence. Using artificial intelligence in its core means constant deep machine learning and reacting to the needs of modern society. 

Today the world is facing the coronavirus (COVID19) pandemic – an infectious disease caused by the severe acute respiratory syndrome. Started in 2019 in Wuhan, China, it has since spread globally, resulting in 1500000 people infected and 82000 people died (by April,8), and these figures grow rapidly day by day. Unfortunately, we cannot be prepared to a pandemic outbreak: it always occurs unexpectedly, irrevocably changing the lifestyle of most people around the world, as well as no one can give a forecast when the pandemic will end and how many lives it will take, but there is something we can do: protect ourselves and people that surround us.

Machine Vision Fever Detection

While scientists are searching for a vaccine against coronavirus, Xeoma CCTV software helps to reveal people who might be infected and contagious. First of all, it can detect fever among passengers arriving at or leaving a country. To do that, Xeoma should be connected to a thermal camera, supporting ONVIF streaming. Using Xeoma’s Color Recognition module, you can detect a person’s temperature level and set reactions, when it’s high: for example, send notifications, such as Sound alarm, SMS or Email. This feature is highly demanded in airports, railway and bus stations, or at checkpoints.

Detection of not Wearing Protective Masks

Video Surveillance


Also, Xeoma has Face Recognition AI-based module, which can help detect people wearing (or not) protective masks. Due to strict quarantine measures, people can leave home only in case of vital necessity: do grocery shopping, buy drugs or meet a doctor, and in these cases they should leave home, wearing a protective mask. Although this mask does not protect from getting infected, it restricts us from touching our face (it’s considered that we touch our face about 90 times a day) – which minimizes the risk that the virus will enter our body through the mucous membranes (mouth, eyes, nose).

Also Read: New Gadget of Coronavirus: How Are These Inventions Helping Us?

Fight Against Lawbreakers

Moreover, people infected with coronavirus are strictly forbidden to leave their apartments (unless they have a severe form of a disease and stay under medical supervision). With the help of Xeoma’s Face recognition module, it’s easier to control compliance with the self-isolation regime and timely detect people who violate the law and therefore react fast, reducing the risk of spreading the infection to others. The module can work in two ways: you create a database of the people who must stay at home and not leave it until they are fully recovered. Xeoma will react to those, detecting their faces and sending alarms to police officers. Another way: you can monitor, how much time the person is absent from home: for example, if this time exceeded 30 minutes, it means he might have left the house, not in vital needs. To do that, you should set Xeoma’s Face Detection module to react when it detects the needed face and fix the time when he’s leaving and returning home.

Another Xeoma’s module that can help fight against lawbreakers is License plate recognition. This module can help the “safe city” CCTV systems detect license plates of the cars, belonging to the people who must remain in quarantine, and thus timely react to the threat of infecting more people.

All these Xeoma’s analytical modules are good helpers in implementing preventive measures in places of public gathering, in residential complexes and private sectors. CCTV software Xeoma’s AI-based modules are fully automated, indefatigable, working 24/7 – can be used in the pandemic outbreak without risking human lives.

Video Surveillance


Xeoma has many other professional modules based on AI: Object Recognition, Face Recognition and double authentication, License Plate Recognition, Emotions Recognition, Detection of Loitering or Abandoned Articles, and many more! All these modules can be used to fight the pandemic outbreak, as well as to ensure global security, to control working places, to boost sales and solve many other issues!

FelenaSoft company has been developing its own CCTV software Xeoma since 2004. The fact that Xeoma’s majority modules are based on artificial intelligence means that Xeoma software has practically endless resources and can provide any feature the society might need, rapidly reacting to the modern needs of video surveillance analytics. If the user needs some additional features or modules, he can order Xeoma’s development acceleration.