MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611058786 A) filed by Ajay Kumar Garg Engineering College on May 08, 2026, for Ai-Based Assistive System And Method For Real-Time Navigation And Object Recognition For Visually Impaired.
Inventors include Anubhav Chaudhary; Dikshant Mudgal; Anshul Raj; Chahat Singh; Ms. Mahima Saxena; Ms. Bhumica Verma; and Ms. Ritika Dhyani.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses an AI-based assistive system and method for real-time navigation and object recognition for visually impaired users. The system (100) comprises a visual acquisition module (101) configured to capture environmental data, an AI-based perception engine (102) employing deep learning models including a convolutional neural network (102A) for detecting and classifying objects, and a depth estimation and spatial analysis unit (103) for determining object distance and positioning. A context- aware decision-making engine (106) processes the data to generate navigation instructions and safety alerts. A speech processing module (104, 105) enables voice interaction, and an audio navigation system (107) provides real-time feedback. A processing unit (109) executes the system with low latency. The invention enhances safety, situational awareness, and independent mobility for visually impaired users. Accompanied Drawings [Fig. 1-4]
Disclaimer: Curated by HT Syndication.
