Journal of Advanced Research in Embedded System

Ultrasound-Based Smart Blind Cap for Safe Navigation

Kanchana K, Vibin K, Suriya A — Thu, 14 May 2026 00:00:00 +0000

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.

DOI: https://doi.org/10.24321/2395.3802.202611

Electric Vehicle Warning Sound System

K. Santha kumari, R. Karpaga Priya — Thu, 14 May 2026 00:00:00 +0000

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.

DOI: https://doi.org/10.24321/2395.3802.202612

Water Level Monitoring System Using Dual Camera

Fri, 19 Jun 2026 00:00:00 +0000

Monitoring water levels is essential for the proper operation of water resources and safety. Most existing systems use sensors like ultrasonic or float devices, but these methods often face problems like corrosion, regular maintenance, and reduced reliability in harsh conditions. In our work, we developed a camera-based water level monitoring system using Raspberry Pi 5. The camera continuously captures images of the water surface and processes them using image processing techniques such as greyscale conversion, filtering, and edge detection to identify the water level accurately. This method does not require direct contact with water, which helps improve durability. which improves durability and reduces maintenance costs. The processed data is used to monitor water levels and control the system accordingly. The proposed system provides an efficient, cost-effective, and reliable solution for modern water level monitoring applications.

DOI: https://doi.org/10.24321/2395.3802.202614

How to cite this article:
Kawitkar R S, Balan M S, Rajagopalan A, Bhosale S, Daware S, Shinde S. Water Level Monitoring System Using Dual Camera. J Adv Res Embed Sys 2026; 13(3&4): 15-18.

Design and Implementation of a Vision‑Assisted Lift‑Based Automated Parking System with License Plate OCR and Real‑Time Slot Management

Thu, 18 Jun 2026 00:00:00 +0000

This work presents a vision-assisted, lift-based smart parking and retrieval system that integrates real-time embedded control, multi-sensor validation, and centralized event logging for improved occupancy reliability and accountability. The proposed architecture employs an STM32F446ZET6 (NUCLEO-144) as the deterministic controller for slot allocation, safety supervision, and multi-axis motion sequencing, while an ESP32-CAM performs entry-side image capture and communicates with a local OCR server to extract the vehicle license plate. Vehicle entry is verified using a dual-sensor strategy (IR sensing + metal detection) to reduce false triggers and unauthorized access, and the recognized plate text is transmitted to the STM32 via UART to enable identity-linked slot assignment and traceable retrieval. Access control is implemented using a servo-actuated barrier, and automated storage/retrieval is executed using a lift mechanism driven by NEMA17 stepper motors with DRV8825/A4988 drivers, supported by limit-switch homing and emergency stop handling. User interaction is provided through I2C LCD displays, an exit-side keypad interface, and audio prompts, while operational data (vehicle identifier, timestamps, and occupancy status) is stored in a MySQL database for real-time monitoring through a web dashboard.

DOI: https://doi.org/10.24321/2395.3802.202613

How to cite this article:

Pawar S B, Pandhare S H, Shingane A S, Rajankar S O. Design and Implementation of a Vision‑Assisted Lift‑Based Automated Parking System with License Plate OCR and Real‑Time Slot Management. J Adv Res Embed Sys 2026; 13(3&4): 10-‑14.