Web-Based Real-Time Crowd Analysis for Retail

Abstract

We live in a revolutionary world transforming everyday. This project provides real-time video analytics that can help retail stores to increase their point of sale and promotes a better customer experience. We aim to develop a “Web-Based Real-Time Crowd Analysis in Retail” which has a proper dashboard with all real-time analytics in graphical representation and a summary of current analytics happening at that time. Our dashboard can provide people count analytics including their count and peak hours estimate. Gender classificationbased analytics shows a total number of males and females. Our project is capable of showing the number of shoplifters detected and generates an alert if any shoplifting or suspicious activity detects. This will also show the number of free parking space in parking area of retail shop. Overall analytics include the total number of people entering or exiting count. Such information allows for enhanced customer experience, optimized store performance, reduced operational costs, and ultimately higher profitability.