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Stream/Area:
-
Subject:
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Paper ID:
IJSREM67713
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
B.Tech in Electronics & Telecommunication Engineering
Smt. Radhikatai Pandav College of Engineering (SRPCE), Nagpur
Visually Blind People poses profound challenges to personal mobility and independent living, affecting over 285 million individuals worldwide. The traditional navigation system often a lack of real-time feedback and fail to provide detailed situational awareness in complex environments. To address these limitations, our paper proposes A system that is Smart Vision (a guided navigation system for blind people) it is an advanced, hands-free wearable assistive eyewear framework that designed to provide real-time guiding assistance and multi-modal environmental awareness for blind people. The proposed system integrates a multi-sensor array—combining ultrasonic sensors and camera modules—with an edge computing architecture, enabling the system to identify surrounding obstacles for real-time processing. By implementing high-efficiency computer vision, including lightweight YOLO object detections, and estimates target distances with high accuracy. The processed environmental information is continuously transformed into low-latency voice instructions and intuitive haptic feedback, delivering real-time spatial awareness that enables seamless navigation and provides the user with confidence during decision-making. Ultimately, A Smart Vision delivers a robust, cost-effective, and fully integrated navigation assistant that significantly improves safety, autonomy, and quality of life for visually impaired users.
KEYWORDS
Thus, we have successfully reviewed different research papers on this topic “SMART VISION”, we have analysed that this topic is very useful for the emerging communication network.
[1] E. A. Hassan and T. B. Tang, "Smart glasses for the visually impaired people," in Computers Helping People with Special Needs (ICCHP 2016), Lecture Notes in Computer Science, vol. 9759, Springer, Cham, 2016, pp. 579–582. [2] J. Bai, S. Lian, Z. Liu, K. Wang, and D. Liu, "Smart guiding glasses for visually impaired people in indoor environment," IEEE Transactions on Consumer Electronics, vol. 63, no. 3, pp. 258–266, Aug. 2017. [3] C. B. G., M. C., S. R., and P. Kamath, "Next gen assistive technology smart glove for blind," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 12, no. 7, July 2024. [4] A. S. Varshney, M. E. Chougle, V. C. Patel, and M. D. Chauhan, "Evaluating usability of 'the smart vision glasses' for individuals who are visually impaired and totally blind," Saudi Journal of Ophthalmology, vol. 39, no. 1, pp. 12–18, 2025. [5] P. Kumari and R. Hammady, "Assisting Blind People with AI and Audio Using Smart Glasses: System Design with YOLOv8 Variants Comparisons," Multimedia Systems, vol. 32, no. 1, p. 73, 2026. [6] P. Paygude and A. Hambarde, "A review of smart vision for visually impaired with image recognition," Journal of Emerging Technologies and Innovative Research (JETIR), vol. 12, no. 4, pp. j344-j347, Apr. 2025. [7] A. M. Asiri, A. M. A. Barayan, A. A. A. M. Almutairi, and J. M. Alamri, "Artificial intelligence and the enhancement of quality of life for individuals with visual impairments: A systematic review," Discover Education, vol. 5, no. 1, p. 454, 2026. [8] P. Nanda, S. R. Samal, S. Bandopadhaya, D. P. Pradhan, A. Ivanov, and V. Poulkov, "A IoT Smart Eyewear with Real-time Object and Audio Recognition for Visually Impaired Users," Journal of Mobile Multimedia, vol. 22, no. 1, pp. 41–62, 2026.
Publication Date
10/7/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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