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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1340 - 1343 | India
Vision-Based Customer Behavior Analysis System
Abstract: The Vision-Based Customer Behavior Analysis System is an AI-driven retail analytics solution designed to understand customer emotions and engagement levels using computer vision and machine learning techniques. The system integrates facial recognition, body posture analysis, gestures, movement patterns, head orientation, and product interaction time to analyze customer behavior and identify emotional states such as interest, confusion, excitement, hesitation, and disengagement. Unlike traditional systems that rely only on transactional data, the proposed system provides deeper insights through visual and behavioral cues. In addition to in-store monitoring, the system incorporates an online purchasing application that allows customers to browse products, place orders, and provide feedback. Customer emotions are further analyzed using order trends and sentiment analysis, where variations in purchasing behavior indicate emotional responses. The system generates visual analytics, heatmaps, and reports to assist store managers in improving product placement, enhancing customer experience, and supporting data-driven decision-making.
Keywords: Vision-Based Customer Behavior Analysis System
How to Cite?: Alfiya Najimi, Preethi Thomas, "Vision-Based Customer Behavior Analysis System", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1340-1343, https://www.ijsr.net/getabstract.php?paperid=SR26420120517, DOI: https://dx.dx.doi.org/10.21275/SR26420120517