Phoenix Marketcity is a chain of malls across 4 locations in India.
To prevent the spread of COVID-19 infection, shopping malls were mandated by government of India to adhere to the mandatory physical distancing of 6 feet and use of face covers at all times, as well as maintaining a restricted intake and crowd management.
Goal
The goal was to build a solution that tracks the real-time footfall of visitors inside the mall and food court as well as provide the occupancy headcount at all times, and raise alarms in real-time in cases of non-compliance.
The application would be monitored by admins in charge of maintaining the mall's COVID guidelines. Additionally, LED screens to be installed inside the mall to display how many visitors and employees are in the building at any point in time to ensure 50 percent footfall than normal at any point of time to comply with social distancing norms.
Role
I was the sole designer on the project.
An AI powered solution
To monitor the crowd and COVID-19 guidelines in the mall by round-the-clock monitoring, n AI-based real-time video analytics was employed. This solution can be seamlessly integrated with the shopping mall's existing CCTV video surveillance system and uses machine learning algorithms to recognize maskless customers as well as measures distance between two individuals.
