MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202631085762 A) filed by Narula Institute Of Technology on July 13, 2026, for “design And Development Of Smart Spectacles For Visually Impaired People Using Real-Time Object Detection And Voice Assistance”.
Inventors include Mrs. Sanghamitra Layek; Dr. Bikas Mondal; Jeet Adhikary; Ahona Chowdhury; Deep Biswas; and Shishir Pal.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: “DESIGN AND DEVELOPMENT OF SMART SPECTACLES FOR VISUALLY IMPAIRED PEOPLE USING REAL-TIME OBJECT DETECTION AND VOICE ASSISTANCE” ABSTRACT Visual impairment creates significant challenges in performing everyday activities, especially in understanding surrounding environments, recognizing objects, reading text, and navigating safely. With the rapid advancement of artificial intelligence, embedded systems, and assistive technologies, intelligent vision-based solutions have emerged as effective tools for improving the independence and quality of life for visually impaired individuals. This project presents the development of a Smart Spectacles for Visually Impaired People Using Real-Time Object Detection and Voice Assistance which is designed to provide real-time environmental awareness and audio-based assistance to blind and visually impaired users. The proposed system captures visual information from the user’s surroundings and processes it using advanced image analysis and artificial intelligence techniques. The captured visual data is interpreted to identify important objects, detect surrounding scenes, and extract relevant textual information. The processed information is then converted into meaningful natural language descriptions, enabling users to understand their environment through voice-based feedback. The system operates through wireless communication and real-time processing, ensuring a seamless interaction between the user and the intelligent assistive platform. To improve accessibility and ease of use, the system incorporates a simple user interaction mechanism that allows the user to activate the vision assistance process conveniently. Audible indicators are also integrated to notify the user about different operational states during image capture and processing. The design emphasizes portability, low power consumption, cost-effectiveness, and user comfort, making the system suitable for practical day-to-day applications. By transferring computationally intensive operations to an external intelligent processing platform, the system efficiently overcomes the limitations of compact embedded devices while maintaining reliable performance. The project demonstrates the successful integration of artificial intelligence, computer vision, wireless communication, and speech technologies into a unified assistive framework. The developed system not only helps visually impaired users perceive their surroundings more effectively but also enhances their confidence and independence in performing daily activities. In addition to assistive applications, the proposed framework has potential use in smart monitoring systems, human–machine interaction, intelligent wearable devices, and real-time automation systems. Overall, the Smart Vision Feedback System provides an innovative, scalable, and practical approach toward assistive technology by combining real-time scene understanding with intelligent audio feedback. The project highlights the growing role of AI-enabled embedded systems in creating inclusive technological solutions that address real-world social challenges and improve accessibility for individuals with visual impairments. (Figure 1)
Disclaimer: Curated by HT Syndication.
