A Web-Based Application for Monitoring Crowd Status in Stores
Published: 2022
Author(s) Name: Salbin Sadik, Tushar Balakrishnan V., Vinayak M. R. and Jain Stoble B. |
Author(s) Affiliation: Dept. of Comp. Science and Engg., Adi Shankara Inst. of Engg. and Technology, Kerala, India.
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Abstract
Crowd counting and surveillance in public
spaces and stores is a difficult task to complete. Because of the large population and variety of human activities, crowded scenes must be more frequent. The requirement for a mechanism to track crowd counting in certain periods, such as during the COVID outbreak, is critical. In this COVID scenario, large crowds without keeping social distance and without any measures can easily spread the COVID-19 virus. Store personnels may find it difficult to handle large crowds when a large group of people gathers at a store to make a purchase. This study proposes a method that can be used in stores to assist customers to plan their shopping trips properly, maintaining social distance. This software primarily aids users in locating shops in their area that they wish to visit, as well as offering information on the quietest and busiest times of the day to visit each shop. The user interface of the system is designed in such a way that the search function and GPS function aid you in identifying nearby retailers as well as monitoring the state of local establishments to determine if they are crowded or not.
Keywords: Counting, Crowd, Distance, GPS, Retailers, Shopping, Store, Surveillance, Visit.
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