DR ASTAN: Data Report AI-Powered Shopper Tracking & Analysis Network

– This research paper introduces Dr. ASTAN, an advanced system for monitoring, analyzing, and visualizing shopper behavior in retail environments using state-of-the-art computer vision and deep learning techniques. The system integrates multi-camera inputs and leverages YOLOv8 for real-time object detection, coupled with DeepSORT and the Kalman Filter for accurate multi-object tracking across predefined store zones. Behavioral data is processed using Pandas and visualized through Power BI, generating actionable insights into foot traffic patterns, zone-wise engagement, and consumer movement trajectories. Dr. ASTAN enables data-driven decision-making to optimize store layouts, improve customer experience, and increase sales, all while adhering to strict privacy standards and ethical data handling practices.