MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611101024 A) filed by Madan Mohan Malaviya University Of Technology on August 20, 2026, for Ai-Driven Multi-Sensor Smart Cane With Overhead Obstacle Detection And Dynamic Hazard Alerts.
Inventors include Aniket Sahu; Amit Kumar Patel; Manish Verma; Nikita Tripathi; Dr. Shwet Ketu; Dr. Satvik Vats; Dr. Sneha Mishra; and Dr. Rakesh Kumar.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An AI-driven multi-sensor smart cane and operating method are disclosed to enhance navigation safety for the visually impaired. The smart cane comprises an upper LIDAR time-of-flight (ToF) sensor for head-level and long-range obstacle detection (up to 2 meters) and a lower ultrasonic sensor array mounted at a downward angle for ground, stair, and knee-level hazards. An Inertial Measurement Unit (IMU) tracks motion and acceleration to enable fall detection and gait-sway noise filtering via a Kalman filter. An onboard dual-core microcontroller (ESP32) running an Edge-AI engine executes sensor fusion to identify spatial hazard positioning and classifies detected objects as static or dynamic threats based on closing rate-of-change calculations with latency under 50 milliseconds. The device provides real-time, multi- modal feedback via a handle-mounted variable-intensity haptic vibration motor and an audio buzzer.
Disclaimer: Curated by HT Syndication.
