Today’s world has changed a lot since the start of the COVID19 pandemic. Health guidelines and business operational needs have been rewritten. In particular, the service industry where there is a lot of foot traffic needs a way to ensure safe spatial distancing. As more and more businesses are set to open it is necessary to stay vigil and have safe practices in place to protect the customers as well as the employees. AI and video intelligence technologies help in preventing the spread of COVID-19 by having smart cameras in place for contact tracing, remote monitoring, enforcing social distancing and providing access control.
Video security is an important factor for protecting businesses, as it has been for the past decades. Currently where businesses are temporarily shut down, video surveillance has become a critical tool to monitor the security of a property from a remote site. Another critical tool is smart video surveillance cameras with face recognition, person tracking, and object detection capabilities. These tools have proved to be enormously effective during these times.
In the reopening of businesses as society begins to adapt to the new health and safety guidelines, the challenges for security monitoring include:
- observing and monitoring employees and customers for social distancing and health safety
- verifying whether everyone is wearing a face mask
- temperature checks to verify that no one with high temperature enters the facility
Powered by Artificial Intelligence and Deep Learning, video intelligence software can extract, classify, recognize, and index objects and behaviors that are captured by video cameras.
Measure social distancing and Mask usage
Surveillance cameras can be retrofitted for the pandemic with artificial intelligence that can measure social distancing by using software to recognize human individuals in images, then measure how close together they are. It will help to dentify hot spots which are full of person traffic. It can also allow you the option to take actions to minimize such interactions. Motorola Solutions has developed an AI solution that does exactly the same.
(Here’s a tutorial on how to achieve the above Measure Social Distancing ).
An altered implementation of AI-powered software can quickly determine whether people are wearing personal protective equipment, i.e. face masks or shields.(Watch the tutorial of a mask detector on real time video using Chrysalis Cloud).
Real-time occupancy management
Physical spatial distancing is a term that everyone is now familiar with due to COVID-19. Businesses are required to limit the number of people in the establishment at the same time. To enforce and adhere to this rule, video from the cameras can be analyzed in real-time to count the number of people entering and exiting the facility. Visual alerts can be set up on monitors or LED screens and triggered when the occupancy limits are reached.
Using Computer Vision on the cameras can also allow for crowd formation detection and can trigger an audible warning when necessary to disperse the crowded sections.
Video-enabled health and safety audits
To ensure that employees are following health and safety procedures, the cameras with action-recognition capability can be set up for example: to automatically capture video each time someone washes their hands. It could also sort each instance by date, time and location to ensure handwashing compliance, and to see if employees are adhering to the prescribed guidelines.
Even moreso the action recognition algorithm, could be enabled to tag events that seem to violate the guidelines and store the corresponding video clips for later assessment.
According to the federal government and the CDC, employers should screen and monitor their employees and customers for indications of COVID-19 symptoms. One example is elevated body temperature (EBT). Thermal imaging cameras can be used to detect indicators for elevated body temperature that provide a data point for further evaluation and action. This camera can also transmit videos like a regular camera and further face recognition technology can be implemented to identify the person with EBT. Additional screening can be performed for verification.