Journal of Advanced Research in Embedded System
https://www.thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems
Advanced Research Publicationsen-USJournal of Advanced Research in Embedded System2395-3802Ultrasound-Based Smart Blind Cap for Safe Navigation
https://www.thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/2118
<p>This smart blind cap is one of the most innovative concepts wherein safety and independence for individuals with visual impairments are maximized. The device scans its surroundings continuously and instantly identifies obstacles with the aid of cutting-edge ultrasound technology. As soon as the object enters within certain proximity, the cap alerts the wearer in terms of sound or even haptic signals that ensure safe navigation. The user will find themselves moving confidently and even alone with this technology and greatly reduced accidents, which is further complemented by the comfortable light headpiece fit that lasts longer and gives a person maximum liberty in the course of his or her daily activities. Other improvements, such as GPS guidance and smartphone connectivity in conjunction with more complex algorithms, put this far ahead of assistive technologies. This innovative gadget helps the partially sighted people to communicate better with the environment, hence widening the possibility for a more inclusive and accessible society.</p> <p><strong>DOI:</strong> https://doi.org/10.24321/2395.3802.202611</p>Kanchana KVibin KSuriya A
Copyright (c) 2026 Journal of Advanced Research in Embedded System
2026-05-142026-05-14133&415Electric Vehicle Warning Sound System
https://www.thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/2121
<p><strong>The Electric Vehicle Warning Sound System (EVWSS) is designed to generate minimal yet effective sound levels to aid pedestrians, visually impaired individuals, and cyclists in identifying the presence and direction of electric vehicles. This system produces a sequence of alert sounds tailored to ensure awareness in the vicinity of electric vehicles. The proposed solution dynamically adjusts the frequency and volume of pre-stored WAV files based on the vehicle's speed, transmitting the audio signals to an audio power amplifier. The application modulates the frequency of the WAV files in accordance with the vehicle's speed, akin to the engine stroke. WAV files are stored in flash memory and customized as per the end user's requirements. Based on the Potentiometer input, the system selects WAV file from flash memory, modifies its frequency and pitch, and sends the processed signal to the audio power amplifier.</strong></p> <p><strong>DOI:</strong> https://doi.org/10.24321/2395.3802.202612</p>K. Santha kumariDr. R. Karpaga Priya
Copyright (c) 2026 Journal of Advanced Research in Embedded System
2026-05-142026-05-14133&469