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Leveraging Computer Vision To Tackle COVID19: Automated Visual Safety is the New Normal

Coronavirus has impacted the way we work & live. The entire economy has been halted – restaurants and hotels shutting down, brick and mortar stores struggling to stay open, travel businesses taking a hard hit, and corporate offices left vacant with work-from-home policies.  Moreover, businesses that rely on factory operations and manual work are having a difficult time trying to continue production, keeping employees safe and ensuring efficiency.

Hence, it would not be wrong to say that COVID19 has thrown the global economy into an unprecedented crisis. While the damage has been done, it is of utmost importance now that the government and private corporations start laying the foundation for reopening the economy, protecting the livelihoods of millions of workers who are now unemployed, furloughed or in danger of losing their jobs. 

In order to reach the new normal that will emerge after the pandemic is over, companies need to think about how to ensure business continuity (business as usual) and flexibility. But the transition won’t be very smooth. Companies that want to quickly adapt to this new normal have to roll out new standard operating procedures (SOPs) across multiple sites like: 

  • Social Distancing: Tracking & monitoring the gathering and movements of people to ensure social distancing.
  • Sanitization: Ensuring that proper sanitary measures are being taken and mandated guidelines are being followed at scale.
  • Safety Compliance: Detecting safety violations & checking if people are adhering to the safety compliances like wearing masks in public places.
  • Surface Contamination: Preventing the spread of contamination across common materials & surfaces by tracking the touch by human hands and placement of various assets.

Businesses as well as authorities would need to keep a track of these SOPs in real time, and hence, real-time tracking and monitoring of people and objects will be crucial. But given the time sensitivity and scalability issues, it would be very difficult to implement these changes with full effect using traditional measures. That’s where technology like Artificial Intelligence (AI) and Computer Vision (CV) would be playing a major role in restoring business efficiency and ensuring safety. 

Computer Vision in the New Normal:

As the world is embracing radical measures to combat the growing pandemic, Computer Vision is definitely going to be at the forefront in this fight. It will help us in providing fast track solutions that will answer key questions like how will the authorities ensure public safety, how will enterprises maintain efficiency while considering their workers’ well being and adhering to all the compliances, as well as how society is going to function with all of these newly imposed public regulations. Hence, in order to simplify the transition to this new normal, businesses need to leverage technology like CV to create a well-defined strategy based on the following four key indexes:

  1. Social Distancing Index – Distance between people, groups, assets like machineries and vehicles can be tracked in real time in order to send alerts to the concerned parties in case of any violation. 
  2. Cluster Density Index – Measuring how crowded an area is can be helpful when we want to restrict the spread. But this will only be possible if a proactive system can be designed which will ensure proper cluster density all the time. 
  3. Safety Precautions Index – It’s important to measure how safe people are in a given area with respect to safety compliances and PPE. Even momentary violations like taking off a facemask should be reported and corrected, which is only possible when an automated CV system is at work.
  4. Sanitization Measures Index – Without automation it’s nearly impossible to ensure that proper sanitary measures are being taken, and mandated guidelines are being followed at scale. For example – detecting if a person applies hand sanitizer on their hands via hand sanitizer machine or detecting if a room has been cleaned properly by janitorial staff.

These four indexes are valid for all businesses irrespective of the industries. Some of the most important CV use cases in various domains that we’ll start to see in full scale will include:

  • Healthcare: Camera systems equipped with computer vision that can alert staff if the mandated regulations aren’t strictly followed like not wearing a face mask or not maintaining proper hygiene. 
  • Tracking Workers, Machines & Processes in Factories: Monitoring of people for wearing personal protective equipment (PPE) and maintaining social distance & proper personal hygiene through computer vision can prevent the community spread of infections. Moreover, intelligent automation can enable factories to run with limited capacity, with visual inspection and remote machine monitoring. 
  • Monitoring in Public Spaces: CV systems are now powerful enough to analyze real-time video feeds, and can be combined with infrared imaging to detect fevers. Together, these tools can assist in identifying infected people, and monitor physical distancing.
  • Workspaces: CV algorithms will analyze footage from on-site video cameras to ensure that employees are maintaining safe, mandated distances from one another during shifts and following the standard protocols.

Introducing the Dori SafeSpace AI Platform:

Dori AI is on a mission to co-innovate with enterprises & local authorities to address some of these grave challenges during the global COVID19 pandemic by enabling visual safety compliance for a safe environment. We have developed a state of the art visual AI platform that will enable you to upgrade existing visual systems (surveillance cameras, thermal sensors, office CCTV cameras, etc.) with end-to-end safety CV-based solutions, just with a click of a button. Now connect your existing or new cameras to the Dori SafeSpace platform to ingest the video feeds, connect to multiple ML vision services, and receive real-time insights to monitor, prevent, and respond to incidents. 

The complete Dori SafeSpace solution was built using the power of the Dori Vision Platform. The platform not only helps you monitor people & assets, but also enables you to take proper preventive measures like:

  • Post distance notices to ensure social distancing among employees
  • Limit the size of gatherings by getting instant alerts for cluster violation
  • Change walking lanes
  • Distribute more masks/PPE
  • Increase the number of sanitization stations for hotspots

Leveraging Dori Vision to Build Robust Solutions:

The Dori Vision Platform is a full end-to-end computer vision development platform that enables enterprises to quickly build solutions such as Dori SafeSpace.

  • Build custom visual process automation solutions.
  • Quickly achieve a high level of accuracy with robust ML model building workflows.
  • Utilize easy-to-use visual dashboards which enable applications to be launched in a matter of weeks
  • Adapt to various conditions including lighting, perspective, camera angles, motion blur, and correlation across multiple camera feeds.

If you are interested to learn how we can help your business get back on track and running, then click here to contact us to discuss custom use cases for your enterprise, and get a chance to see our platform in action. 


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