How This Chennai-based Startup Is Using Computer Vision To Detect Violations In COVID-19 Situation

While the field of AI has seen many unprecedented developments, it still creates a lot of confusion in the minds of common people. Businesses are still wary of considering it as a good-to-have technology, let alone must-to-have. It is still perceived as a high-funda and useful only in very specific and sophisticated environments.

Karthick Sethunarayanan, a passionate technocrat with over two decades of global experience has always had the vision to make AI popular across industries and how. It was with this vision that RayReach Technologies was conceptualised in June last year with a handful of people, and there has been no looking back since then. With offices in Chennai, Hyderabad, Pune, Dubai and Sydney, the startup has now grown to a dedicated team of 25 members.

RayVision —  A Dream Come True Project For RayReach Technologies

Dealing with the computer vision developments of the company, RayVision was developed to make CCTVs smart. 


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Karthick says that CCTV camera surveillance has become a common norm and is being installed everywhere from factory floors, hospitals, railway stations, airports to parks. The camera feeds are usually monitored by dedicated teams in most of the scenarios for varied purposes such as surveillance against undesirable conduct, to check whether protocols have been followed, or to ensure public safety. “We thought why not use computer vision to substitute the dedicated human force for the purpose,” says Karthick. 

Hence RayVision was developed as a computer vision-based solution which can capture frames from the CCTV cameras already in use to give on the spot alerts in the event of violations. It does more accurate surveillance eliminating human error and helps in releasing the dedicated workforce for surveillance to more intelligent requirements. 

Utilising This For COVID-19 Situation

Having explored CCTV surveillance for some time, the startup has now ventured into addressing COVID-19 monitoring such as detecting face masks violation, crowding violation, social distancing violation, PPE violation, hand sanitizer usage and more. 

With the ongoing pandemic, companies are now looking to bring new safety measures and standards and RayVision aims to address this need of the hour through its computer vision solution.

How does it work?

The solution reads data directly from the CCTV camera feeds, runs computer vision and neural network analysis to check for protective gears, face masks, hand sanitizer usage, crowding and restricted zone intrusions etc. in inflow videos. It lets authorities view the violations on dashboards and mobile app as reports and alerts. It can even be integrated with IoT devices and messages can be broadcasted through speakers in construction and manufacturing floors.

Karthick shares that it can be used across industries and businesses such as manufacturing, IT, Pharma and can handle multiple use cases in various scenarios. 

In a nutshell, RayVision can:

  • Monitor people not wearing the required face masks
  • Proctor and quickly respond to violations of Personal Protective Equipment (PPE) such as lab coats, goggles, gloves, respirators
  • View and rapidly take actions on crowds exceeding acceptable limits
  • Track the mandatory usage of sanitizers before people get into protected zones

Some use cases across industries and scenarios are:

Karthick strongly believes that RayVision is an example of how artificial intelligence and smart vision analytics can help the business stay safe and be compliant to regulatory bodies in COVID times.

The Way Forward

Karthick believes that artificial intelligence through its various use cases has been helping humans in making sure that the pandemic is overcome in an efficient way. “A lot of companies are using machine learning and NLP techniques, for instance, to create models to predict the movement of people through data used by global airline ticketing, use AI in social media to mine through numerous data points to track down the movement of individuals, and more. However, we at RayVision are helping to convert CCTV cameras into smart cameras to detect any PPE violations, which is the most crucial part of fighting against COVID-19,” he said on a concluding note. 

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Srishti Deoras
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.

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