COVID-19 Safety Control System

Technology domains
Cloud Solutions | AI | Computer vision | Neural networks | Machine Learning | Deep Learning
WAITO: Mobile Social Travel App WAITO: Mobile Social Travel App
Travel experience heavily depends on our fellow travelers, especially for lonely travelers who can't control whom they may spend the flight sitting next to. Their seatmate remains a complete mystery up till the moment they get on the plane. And the odds of meeting a like-minded person you have much in common with are rather low.
Queue Monitoring System Queue Monitoring System
Unstructured queuing areas are a big challenge for any airport. Striving to manage massive passenger flows, airport operators experience disjointed queue management through the lack of visibility into the queuing process. It results in low desk throughput, long waiting times, and, accordingly, unhappy passengers.To boost operational efficiency and improve customer service, airport operators need a smart software solution that will provide them with real-time insights into the queue performance and help optimize resource utilization.
Apron Management System Apron Management System
Today, many airports struggle with silo operations and uncoordinated processes trying to handle heavy air traffic. It often leads to errors, delays, and poor passenger experience.The key to proper flight schedule adherence and happy customers is the digitalization of the apron. The need of the hour is an efficient system that would help automatically manage aircraft ground operations.
COVID-19 Safety Control System COVID-19 Safety Control System
Due to the pandemic, social distancing and face mask-wearing have become mandatory in many public places, including airports. Today, airports are required to monitor the implementation of these preventive measures to minimize the spread of COVID-19 and ensure the safety of passengers and employees. However, manual monitoring of all passengers and airport workers is a time-consuming and cumbersome task that requires engaging a lot of additional staff.

Challenge

Due to the pandemic, social distancing and face mask-wearing have become mandatory in many public places, including airports. Today, airports are required to monitor the implementation of these preventive measures to minimize the spread of COVID-19 and ensure the safety of passengers and employees. However, manual monitoring of all passengers and airport workers is a time-consuming and cumbersome task that requires engaging a lot of additional staff.

Therefore, there is a strong need for a solution that would help airport operators automatically control the compliance with mask-wearing and social distancing rules and identify violators with no additional resources.

Solution

Softarex has developed a COVID-19 Safety Control System that helps airports track abidance by the coronavirus preventive measures.

The software reviews the video streams generated by CCTV cameras across the airport, identifies humans in the footage, and measures the distance between them. If it is less than 6 feet or 1.5 m, the system sends a notification to the responsible staff.

Then it classifies humans into two categories: people with face masks on and violators. In case a violator is detected, the system triggers alerts and builds a roadmap of a violator to help airport operators minimize contacts between those who abide by COVID-19 mask-wearing and those who don’t.

Apart from that, the software counts the number of people entering the airport and informs visitors whether they are allowed to enter or not. Then it builds an online density map of crowds at an airport and creates reports on a building’s daily footfall.

Data about all mask-wearing and social distancing violations are recorded and stored on the cloud for future analysis.

Project’s results

  • Fully automated mask-wearing and social distancing compliance monitoring;
  • 80% reduction in the number of violations;
  • Optimized staff and resource allocation;
  • Optimized flow of passengers entering an airport.

Technical challenges

  • Real-time processing of computer vision data from multiple cameras.

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