Journal of Applied Information Science

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A Web-Based Application for Monitoring Crowd Status in Stores


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1 Department of Computer Science & Engineering, Adi Shankara Institute of Engineering and Technology, Kerala, India
     

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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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  • A Web-Based Application for Monitoring Crowd Status in Stores

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Authors

Salbin Sadik
Department of Computer Science & Engineering, Adi Shankara Institute of Engineering and Technology, Kerala, India
V. Tushar Balakrishnan
Department of Computer Science & Engineering, Adi Shankara Institute of Engineering and Technology, Kerala, India
M. R. Vinayak
Department of Computer Science & Engineering, Adi Shankara Institute of Engineering and Technology, Kerala, India
B. Jain Stoble
Department of Computer Science & Engineering, Adi Shankara Institute of Engineering and Technology, Kerala, India

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

References