AI-Based Smart Stick for the Visually Impaired

Authors

  • Alen Manoj
  • Madhu Amal A Federal Institute of Science and Technology, Angamaly, India
  • Shaun Mathew Federal Institute of Science and Technology, Angamaly, India
  • Vishwam Sajeev Federal Institute of Science and Technology, Angamaly, India
  • Ambily John Federal Institute of Science and Technology, Angamaly, India

DOI:

https://doi.org/10.61779/jasetm.v3i2.1

Keywords:

Smart blind stick, object detection, assistive technology, YOLO, ESP32

Abstract

Visually impaired individuals face numerous challenges while navigating their environment. Traditional mobility aids, such as white canes, provide limited assistance in detecting obstacles. To enhance their independence and safety, smart assistive technologies are needed. This paper presents a Smart Blind Stick designed to assist visually impaired individuals by identifying objects in their surroundings and providing real-time audio feedback. The system integrates an ESP32 camera module and a Raspberry Pi, utilizing YOLO (You Only Look Once) object detection for image processing. The ESP32 is mounted on the blind stick to capture real-time images, which are transmitted to the Raspberry Pi for analysis. Upon detecting and identifying objects, the system generates an audio message and conveys it to the user via headphones, enhancing their awareness of obstacles and surroundings. This innovation aims to improve mobility, safety, and independence for the visually impaired through affordable and efficient technology.

References

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Published

16-08-2025

How to Cite

Manoj, A., Amal A, M. ., Mathew, S., Sajeev, V., & John, A. (2025). AI-Based Smart Stick for the Visually Impaired. Journal of Applied Science, Engineering, Technology and Management, 3(2), 03–06. https://doi.org/10.61779/jasetm.v3i2.1