Intellectual Property India Publishes Patent Application for Wearable Eyewear-Based Assistive Navigation System With Multi-Sensor Hazard Detection, Adaptive Haptic Feedback, And Autonomous Emergency Alerting For Visually Impaired Users

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641109639 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on September 12, 2026, for Wearable Eyewear-Based Assistive Navigation System With Multi-Sensor Hazard Detection, Adaptive Haptic Feedback, And Autonomous Emergency Alerting For Visually Impaired Users.

Inventors include Dr. Srinivas Talasila; M. Bhagya Lakshmi; G. Raja Aravind; I. Harshith Varma; I. Sudha Raghavi; and J. Vamshi Krishna.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: A wearable intelligent assistive navigation system configured as eyewear for visually impaired individuals is disclosed. The system integrates a solid-state LiDAR distance sensor (102), an MPU6050 six-axis inertial measurement unit (104), a multi-sensor fusion processing layer (120), a multi-class hazard classification engine (122), an adaptive haptic feedback actuator system (108), GPS-assisted emergency communication (116), and an ESP32 microcontroller-based real-time decision engine (106). Upon detection of environmental hazards, the system classifies each condition, modulates vibration feedback intensity and spatial direction accordingly, and when critical events such as falls or imminent collisions are confirmed, autonomously dispatches geo-tagged emergency alerts through wireless networks. A predictive instability layer monitors kinematic signatures to anticipate fall events before they fully occur. The invention substantially enhances safe independent navigation and situational awareness for visually impaired users through adaptive, real-time assistive intelligence. In a further embodiment, the system comprises a community hazard mapping module (126) that shares anonymised, trust-weighted hazard observations with, and receives corroborating observations from, other like eyewear units via a remote hazard-heatmap repository (128, 130), and a gesture recognition sub-module (132) that classifies deliberate head-motion gestures from the existing inertial measurement unit to enable a command disambiguation engine (134) to resolve directional guidance ambiguity and to acknowledge or suppress pending emergency alerts, in each case without added sensor hardware and without interrupting the autonomous, no-action-required character of the emergency alerting pathway.

Disclaimer: Curated by HT Syndication.