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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63395

Vision Care Glasses for Blind People

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63395

Volume:

10 |

5 |

May 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63395

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.

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Authors

IK

Isha Kawale

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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DP

Dhanashree Patil

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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NW

Nisha Warambhe

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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NG

Nidhi Ghatole

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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LL

Leetika Lambat

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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NB

Nivedita Bondre

Electronics and Telecommunication

Priyadarshini Bhagwati College of Engineering

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Abstract

VisionCare Spectacles is an IoT-based assistive system developed to make everyday movement a little safer and more manageable for visually impaired individuals. The project combines simple but reliable technologies — mainly the ESP32 microcontroller, ultrasonic sensors, and the ESP-NOW communication protocol — to create a wearable device capable of detecting nearby obstacles in real time and alerting the user instantly. Alongside obstacle detection, the system also includes GPS and GSM modules for emergency communication and location tracking, which can be genuinely useful in situations where a user needs immediate assistance outdoors or in crowded areas. Rather than trying to replace existing mobility aids, the idea here is to provide an additional layer of support through a lightweight and connected device. The paper explains the overall system architecture, hardware setup, and working methodology in detail, while also discussing practical challenges, limitations, and possible future improvements. Although the prototype is still dependent on sensor accuracy and network availability in some cases, it demonstrates how affordable IoT technologies can be adapted into meaningful assistive solutions for day-to-day use.

KEYWORDS

Keywords — Internet of Things (IoT) Smart Blind Glasses Assistive Technology ESP32 Ultrasonic Sensor ESP-NOW GPS/GSM Module Obstacle Detection Emergency Communication Wearable Device.

Cite This Article

Isha Kawale, Dhanashree Patil, Nisha Warambhe, Nidhi Ghatole, Leetika Lambat, Nivedita Bondre, "Vision Care Glasses for Blind People," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-9, May 2026. https://doi.org/10.55041/IJSREM63395

Full Article/Conclusion

The VisionCare Spectacles system demonstrates how IoT and embedded technologies can be combined to create a practical and wearable assistive solution for visually impaired individuals. By integrating ultrasonic obstacle detection, wireless ESP-NOW communication, GPS tracking, and GSM-based emergency alerts into a single compact device, the system provides much more than basic navigation support. Unlike traditional mobility aids that mainly depend on physical contact with obstacles, the proposed system offers real-time awareness and emergency connectivity, which can improve both user confidence and personal safety during daily movement. The use of a dual ESP32 architecture helped achieve fast and reliable communication with minimal delay, while the GPS and GSM modules enabled effective emergency response through live location sharing. During testing, the system showed accurate obstacle detection, stable wireless communication, and near-instant alert generation under different operating conditions. The distinct buzzer feedback patterns also made the interaction simple and understandable without relying on visual indicators. Another advantage of the system is its affordability and practical implementation. Most of the hardware components used are low-cost and easily available, which makes the device more accessible for small-scale deployment and future development. Of course, certain limitations still exist, particularly regarding GPS signal dependency and sensor accuracy in some environments. Even so, the prototype successfully demonstrates that low-cost IoT hardware can be adapted into a reliable assistive technology solution. Overall, the VisionCare Spectacles project offers a meaningful step toward smarter and more connected mobility assistance systems. With future improvements such as AI-based object recognition,voice guidance, mobile application integration, and advanced sensing technologies, the system can evolve into a more intelligent and user-friendly wearable platform capable of addressing complex real-world navigation and safety challenges for visually impaired individuals.

References

1.                WHO, World Report on Vision, World Health Organization, 2019.   2.                S. Shoval, J. Borenstein, and Y. Koren, "The NavBelt—A Computerized Travel Aid for the Blind Based on Mobile Robotics Technology," IEEE Trans. on Biomedical Engineering, vol. 45, no. 11, pp. 1376-1386, 1998.   3.                M. A. Mazidi et al., The 8051 Microcontroller and Embedded Systems, 2nd ed., Pearson, 2006.   4.                Agus Kurniawan, Internet of Things with ESP32, Packt Publishing, 2019. [5] Espressif Systems, ESP-NOW User Guide, 2020.   5.                Kaplan & Hegarty, Understanding GPS: Principles and Applications, 2nd ed., Artech House, 2005.   6.                SIMCom, SIM800L Hardware Design   7.                V1.00, 2013.   8.                A. Kumar et al., "Smart Assistive Glasses for Visually Impaired using Deep Learning," IEEE Access, vol. 10, pp. 12345-12356, 2022.   9.                P. Singh et al., "IoT-based Smart Navigation System for Visually Impaired," IEEE Sensors Journal, vol. 23, no. 15, pp. 17004-17012, 2023.   10.             S. Patel et al., "Low-Power Wearable Assistive Device using ESP32," Springer Journal of Embedded Systems, vol. 36, pp. 201210, 2024.  

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Publication Date

5/17/2026

Peer Review Type

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Review Rounds: 2

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