MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007368 A) filed by Sudhakar Hallur; and Bettahalli Veeranna, Gajendra, Shindolli, Karnataka, on Jan. 25, for 'intelligent multi-sensor system and method for predictive train bogie positioning and passenger flow management.'
Inventor(s) include Sudhakar Hallur; and Bettahalli Veeranna, Gajendra.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to an Intelligent Multi-Sensor System and Method for Predictive Train Bogie Positioning and Passenger Flow management. The system integrates Doppler Radar Units (101, 102), Load Cell Arrays (103), Computer-Vision Cameras (105), Environmental Sensor Units (108), Micro-Climate IoT Nodes (109), and a Train Telemetry Interface (107) to capture velocity, mass distribution, braking parameters, environmental factors, and crowd states. All sensor data is synchronously fused within an Edge Processing Unit (110) supported by a GPU/AI Accelerator (111) executing device-implemented kinematic models and filtering operations to generate bogie-level stopping predictions with 0.5 m precision. A Central Intelligence Layer aggregates logs from multiple stations for long-term calibration, deviation learning, and continuous optimization through the Control Room Console. Passenger guidance is delivered via LED Displays (104), Edge-Warning Bars (112), Public Address System, and Mobile Connectivity Hardware, reducing dwell time, improving boarding efficiency, and enhancing overall platform safety."
Disclaimer: Curated by HT Syndication.
