Assisted Pedestrian Crossing System for Visually Impaired People Through Machine Vision Recognition and LoRa Communication

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 9

Year of Publication : 2025

Authors : Christian Raul Castro Choque, Kennyi Lucio Aro Apaza, Raúl Ricardo Sulla Torres

10.14445/23488379/IJEEE-V12I9P102

How to Cite?

Christian Raul Castro Choque, Kennyi Lucio Aro Apaza, Raúl Ricardo Sulla Torres, "Assisted Pedestrian Crossing System for Visually Impaired People Through Machine Vision Recognition and LoRa Communication," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 9, pp. 11-20, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I9P102

Abstract:

This article presents the design and implementation of a pedestrian crossing system focused on people with visual impairments. The proposed solution combines artificial vision using a customized YOLOv5 model with wireless communication between the system and a smart cane based on LoRa technology. It begins with a crossing request when the user approaches a traffic light equipped with the system within a set range. Upon receiving this request, an ESP32-CAM module captures an image and communicates with a PC running the YOLOv5 program to detect the presence of people with the following characteristics: a person with a cane that integrates a LoRa-compatible device and dark glasses. Communication between the ESP32 microcontroller and the PC is carried out via the UART port, ensuring low-latency interaction. The system offers a cost-effective, scalable, and inclusive solution for smart city environments, improving the mobility and autonomy of people with visual impairments. After implementation, a 60% reduction in incidents at high-risk intersections and urban accessibility is estimated.

Keywords:

Smart cane, LoRa communication, Visual impairment, YOLOv5 object detection, Intelligent pedestrian crossing.

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