Arduino-Based Smart Boot Guidance System for Visually Impaired Ladies

Authors

  • Hawraa Haider Hamza AbdZaid Departmentof Medical Device Engineering Technology, University Al Mustaqbal, College of Engineering, Iraq
  • Raghad Kazem Ibrahim Abees Department of Medical Device Engineering Technology, University Al Mustaqbal, College of Engineering, Iraq
  • Fatima Jabbar Assal Hussain Department of Medical Device Engineering Technology, University Al Mustaqbal, College of Engineering, Iraq
  • Farah Haider Marza Hamza Department of Medical Device Engineering Technology, University Al Mustaqbal, College of Engineering, Iraq

DOI:

https://doi.org/10.51699/cajmns.v6i4.2990

Keywords:

Smart Boot, Visually Impaired, Embedded System, Ultrasonic Sensor, Arduino

Abstract

This research introduces an embedded-based assistive system designed to support visually impaired and blind individuals in their daily mobility. The proposed “Smart Boot Guidance System” integrates both hardware and software components to enhance safety and independence. The system utilizes ultrasonic sensors, a microcontroller (Arduino Nano), and a buzzer to detect obstacles, identify slippery surfaces, and recognize falls. When a fall or obstacle is detected, an alert signal is sent to notify a responsible person. The prototype aims to provide a low-cost, compact, and reliable solution that ensures electrical safety and usability in real-life scenarios. Preliminary testing demonstrated promising results in obstacle detection and fall alerts. Future work will focus on incorporating additional sensors to increase measurement accuracy and minimize false alarms, as well as evaluating the system on a larger sample population to further improve its performance and reliability.

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Published

2025-11-01

How to Cite

AbdZaid, H. H. H., Abees, R. . K. I. ., Hussain, F. J. A. ., & Hamza, F. H. M. . (2025). Arduino-Based Smart Boot Guidance System for Visually Impaired Ladies. Central Asian Journal of Medical and Natural Science, 6(4), 2518–2526. https://doi.org/10.51699/cajmns.v6i4.2990

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Articles