Authors : G. V. Subrahmanyam; Bhavana K.; Tanusha Lakshmi Naga Devi D.; S. N. S. D. Manjula T.; Hani G.; Sai Sri Ram B.

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/2vrprr7c

Scribd : https://tinyurl.com/wyfh9f3m

DOI : https://doi.org/10.38124/ijisrt/26May1474

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Safe and independent navigation is still a major challenge for visually impaired individuals, especially in unfamiliar and crowded environments. To overcome this, this paper proposed an embedded real-time warning system for the blind person’s navigation using a multi-sensor approach with the ESP32 microcontroller. The system has an ultrasonic sensor for obstacle detection, and a Motion Processing Unit (MPU) for detecting the user’s motion and orientation, which further enhances navigation awareness. Collected sensor data is filtered with sensor fusion algorithms to enhance accuracy and minimise false alerts. The system gives the user real time warning about obstacles based on the distance to the obstacles, enabling the user to act fast and move safely. It is powered by a rechargeable battery with a Battery Management System (BMS) to manage the power usage in a safe and efficient manner. An easy control mechanism with a power switch is also provided for the easy control of the system and to save energy when not in use. The design is aimed to be low cost, lightweight and easy to use for everyday application. The system as a whole is designed to increase the safety, confidence and independence of visually impaired users by creating a simple and reliable navigation system.

Keywords : Blind Navigation, Assistive Technology, Real-Time Alert System, Multi-Sensor System, ESP32 Microcontroller, Ultrasonic Sensor, Motion Processing Unit (MPU), Sensor Fusion, Obstacle Detection, Wearable Device, Low-Cost Design, Energy-Efficient System.

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