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Thermal cameras and smart cities: Preventing COVID-19 in public places

With the pandemic still in full swing and no certainty as to when exactly it will come to an end, the world has been battling anxiety for months now. And with each day, circumstances change quickly and almost make it impossible to predict what will happen next, how events will unfold, and what actions to take in light of a new situation.

But one thing is certain: the world has been shut down and paralysed for way too long, and the eventual reopening is unavoidable – in fact, it’s well under way.

In this situation, what is possible to control is how the world will continue reopening – and specifically, how to ensure the safest possible reopening that will ensure the return of some degree of normalcy to people’s lives and business operations, while also managing the risk of COVID’s spread in the most efficient way.


Our highly digitised, technologically advanced world


This is when the power of technology comes to rescue the day: what truly sets the global crisis we face today apart from other calamities that humanity has encountered over year is the fact that it has developed in a highly digitised, technologically advanced world where each day brings about innovations with a sole purpose to make daily life and operations easier and more streamlined.

And among these, the star of the past decade has been artificial intelligence.

While AI has many avenues of introducing efficiency and fast problem-solving, there is one specific application that will further fuel the reopening of the world and successfully keep the spread of the virus abate. This “collaborative security” application includes a synthesis of smart video analytics, facial recognition, object identification/detection, and thermal cameras that can support the reopening of businesses globally when installed within those facilities frequented by customers.


With such a level of sophistication that can ensure uninterrupted monitoring and analysis of large public spaces, these AI technologies can ideally operate best as cloud solutions to ensure a collaborative network with maximum scalability and widespread implementation. As these technologies increase in ubiquity and find their way into daily operations of businesses globally, the cost of the smart solutions will decrease proportionally to the growth of their reach.


There are some highly specific ways to create this collaborative network of interconnected safety tools in the current climate. Here are some applications that have been successful to date and will increase in usability in the foreseeable future, creating “smart cities” working together towards a safer, more secure world.


Maintaining social distancing practices


The most important step everyone around the world has taken to contribute to the effort of slowing the spread of the virus has been social distancing. A six-foot-distance has become a new social norm that has quickly been adopted globally and become a habit to people who are naturally used to being close to others and socialising without giving distance a second thought.


So, it is natural that such distancing measures take time to get accustomed to – and it is also natural that individuals may forget about them from time to time.


To help maintain the six-foot distance between people at all times and give them slight nudges to keep the rule top of their minds, AI video technology can be trained to estimate the distance between individuals in public and commercial areas and identify the cases in which people get too close to each other. By notifying local merchants or authorities about such cases, the system can help ensure the safety of everyone in the area at all times while positively reinforcing the public to gradually get more accustomed to maintaining the distance and thus helping stop the spread of the virus.


Detecting the virus through facial recognition


Perhaps the straightforward application of such high-level technology is using video surveillance to identify persons of interest who have tested positive for the virus.

Modern AI has the ability to identify facial features and characteristics with a unique level of granularity, making it possible to identify individuals whose records show they have antibodies from those who can be potential carriers of the virus.

After the initial differentiation and identification, the system can then notify the employers and employees of the facility about the results of the conducted analysis and the pursuant results, allowing them to be more vigilant and take action where necessary to ensure a safe experience for everyone.


PPE reinforcement


Wearing a mask or some sort of face coverage in public spaces and especially within facilities (such as stores, for instance) has been - and will continue to be - a requirement for maintaining a safe and healthy environment for people to continue with their day-to-day lives and businesses to resume regular operations. To this extent, the object detection and identification abilities of smart cameras can further reinforce this requirement and ensure that the absence of protective equipment doesn’t go unnoticed. 


Essentially, these cameras can easily identify if an individual has coverage at any given point of time or not, notifying the local authorities about any risks immediately and helping them maintain necessary safety measures without having to interrupt their workflow or worry about missing a visitor without a mask.


Detecting high temperature


One of the key (and the most widespread) symptoms of COVID-19 is a high fever - a certain indicator of whether an individual may have been infected with the virus or not. While identifying fever with a regular human eye is nearly impossible, AI can do so at a fraction of time by quickly scanning body temperatures of any incoming individuals and determine whether it’s above CDC’s recommended temperature of 100.4F in order to determine the risk factor and notify the local authorities to take action.


This technology is a good tactic to objectively assess potential risks that come with elevated temperatures - and sometimes, the people themselves might not realise they might (unconsciously) be carriers of the virus and thus endanger the safety of others in their vicinity. The technology is yet another step towards ensuring a safer reopening of the global economy and a more streamlined way of getting back on track while minimising the risk of spreading the virus further.


It’s not all about the theory


We have tested the described approaches in our own R&D campus in Europe. The latest release of the IREX cloud enables remote fever detection and monitoring of social isolation and mask policies with AI. We have integrated thermal cameras to detect people with elevated temperature and CCTV cameras for identification and notifying those who potentially ill. In case of any health threat, the venue manager gets an instant message with a picture and exact location.


These preventive steps helped our employees return to the office months earlier than it's happening in other countries. Moreover, personnel coming back to the office by their own wish as now they feel a virus-free environment in the campus - even safer than in their own homes.


Now we are launching a pilot project for a well-known pharmacy chain in Florida, USA. With the help of a Computer Vision platform, staff will be able to divide customer traffic into those with normal body temperature and those who come in with elevated temperatures, as well as effectively monitor social distance norms. The goal of our potential client is to maximise the safety of customers in the post-pandemic period. Also, IREX is already deployed across hundreds of locations in the UK and will add health monitoring capability soon.


Gary Fowler


Orifinally published on sourcesecurity.com

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