MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202631101946 A) filed by College Of Engineering And Management, Kolaghat on August 24, 2026, for A Real-Time Multi-Person Location Tracking And Visualization System.
Inventors include Prof. Dr. Dilip Kumar Gayen, Department Of Computer; Dr. Arko Banerjee, Department Of Basic Science &; Prof. Kalyanasish Shee, Department Of Computer Science; Sreejit Gayen, Student, Department Of Computer Science; and Esha Shaw, Student, Department Of Computer Science &.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: ABSTRACT A Real-Time Multi-Person Location Tracking and Visualization System The live multi-person location visualization and monitoring system (100) for real-time location tracking and visualization comprises a User Interface (102) configured to receive user inputs, an Accept Google Maps Location Link module (104) configured to accept a Google Maps location link supplied by a user, and an Extract Latitude and Longitude Coordinates of the Link module (106) arranged to extract geographic latitude and longitude coordinates from the supplied link. The extracted coordinate data are forwarded to a Convert Extracted Values into Numerical Format module (108), which converts the extracted latitude and longitude values into a numerical format for further processing. The processed numerical location data are then supplied to the Artificial Intelligence-Based Data Storage module (110), which applies an artificial intelligence algorithm to store the processed location values in a database. The stored location information is further supplied to a Generate Random Movement and Display marker location dynamically module (112), which generates movement and dynamically displays marker locations corresponding to the users. The User Interface (102) further facilitates interaction and visualization of the location information, enabling real-time monitoring of multiple persons. By integrating Google Maps location link acceptance, coordinate extraction, numerical conversion, artificial intelligence-based data storage, and dynamic marker visualization, the system establishes a structured workflow for live multi-person location visualization and monitoring. This configuration enables real-time visualization and tracking of multiple locations and provides a scalable solution for applications including location sharing, emergency monitoring, and campus navigation assistance. FIG. 1
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