MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062300 A) filed by Swarnandhra College Of Engineering & Technology, Narsapur, Andhra Pradesh, on May 16, for 'system and method for ai-enhanced consumer identification and adaptive marketing tracking via distributed display interfaces.'
Inventor(s) include Dr. NGS Prasad; Dr. O. V. A. M. Sri Devi; Dr. M. Manikya Rao; D. Haleena; P. S. J. Shilpa; P. Suchitra; Ch. Pavani; J. Veenadhuri; Christy Vedala; and K. Roja Sesharatnam.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for AI-enhanced consumer identification and adaptive marketing tracking via distributed display interfaces. The invention comprises a plurality of distributed display interfaces deployed across one or more physical environments including retail stores, malls, transportation hubs, public infrastructure environments, commercial establishments, and smart city installations. Each distributed display interface comprises one or more image acquisition modules, environmental sensing modules, processing units, communication interfaces, and adaptive display systems configured to capture consumer interaction data and dynamically render promotional content. Artificial intelligence and machine learning models process captured visual and behavioral data to identify consumer engagement parameters including gaze direction, movement patterns, dwell time, posture, interaction frequency, demographic characteristics, and emotional response indicators. The system generates engagement analytics and predictive behavioral outputs for dynamically modifying advertisement sequence, promotional offers, multimedia content, language settings, and contextual display characteristics in real time. A centralized analytics platform aggregates interaction data from multiple distributed display interfaces to generate campaign intelligence, audience behavior analytics, predictive marketing recommendations, interaction heat maps, and adaptive advertisement optimization outputs. The invention further supports edge-based processing, reinforcement learning frameworks, privacy-preserving analytics architectures, and multi-location campaign synchronization. The present invention improves marketing engagement efficiency, advertisement targeting precision, campaign optimization, and intelligent consumer interaction analysis through integration of artificial intelligence, computer vision, behavioral analytics, distributed networking, and adaptive rendering technologies."
Disclaimer: Curated by HT Syndication.
