Population Density Prediction Using Surveillance Cameras in Enclosed Public Spaces

ABSTRACT

People have always disliked offline shopping due to its tough and stressful nature. However, after the COVID epidemic, people now have no choice but to avoid it as much as possible. With the help of this project, users will be able to plan their visits to avoid rush hour and crowd and learn when there will be the least amount of consumer traffic. The store owner will also profit from knowing how customers are distributed throughout the store according to a heat map because this information will eventually allow him to ascertain which areas of the store customers are more drawn to and which areas receive the fewest customers, allowing him to more efficiently plan staffing and advertising. As the e-commerce industry grows, more people are choosing to purchase online in order to avoid crowds and noise. Thanks to this initiative, people may also enjoy offline shopping just as much, which will benefit offline business owners and enhance the entire shopping experience. © 2022 IEEE.