Daily Archives: May 7, 2025

Advanced Collision Prevention and Iot- Based Vehicle Safety System
Authors:-Mrs. Shaik. Vaheedha(Assistant Professor), Kalava Reshma, Battula Maha Lakshmi Thanuja, Chevula Geetha Manogna, Jetti Sathwika

Abstract-:Railway accidents involving humans and animals are a serious safety concern. To address this, we propose a Railway Track Guardian System using an ESP32 microcontroller and a LiDAR sensor to continuously monitor railway tracks for any obstruction caused by living beings. A LiDAR sensor mounted along the track scans for the presence of humans, animals, or other living beings. Simultaneously, a sensor installed on the train detects its motion and activates the monitoring system. When an obstruction is detected, the ESP32 processes the sensor data and immediately sends an alert to the train driver via the Blynk IoT app. Additionally, an onboard alarm is triggered to draw the driver’s attention quickly, enabling them to take timely action to prevent accidents. This system ensures real-time monitoring, fast communication, and enhances safety by providing early warnings to the train driver, thus significantly reducing the risk of collisions with living beings on the tracks.

DOI: 10.61137/ijsret.vol.11.issue2.430

Published by: Kajal Tripathi

Advanced Collision Prevention and Iot- Based Vehicle Safety System
Authors:-Assistant Professor Rajani Veluvolu, Shaik Shareef, Nidamanuri Prasad, Upputuri Phanindra Kumar, Uppala Hemanth, Shaik Jony Basha

Abstract-:This project introduces an Accident-Avoidance System based on Arduino Uno, utilizing Ultrasonic Sensors and Long-Range Distance Measurement Sensors for collision prevention. When the long-range sensor identifies an obstacle within a set distance, the system reduces the engine speed via PWM control using an L298N motor driver and triggers a buzzer alert. If an obstacle is detected within a critical range by the ultrasonic sensor, the system halts the engine completely and activates a continuous buzzer warning. Moreover, real-time system status updates, including obstacle detection and motor control actions, are displayed on a 16×2 LCD module and transmitted to the ThingSpeak IoT cloud through a NodeMCU ESP8266 for remote monitoring. This system can be effectively implemented in autonomous vehicles, industrial automation, and safety-critical transportation applications.

DOI: 10.61137/ijsret.vol.11.issue2.429

Published by: Kajal Tripathi

Decentralized Voting System
Authors:-Tanisha Gaikwad, Aditya Jangam, Alish Firasta, Professor Vivek More, Assistant Professor Ajeenkya D Y Patil

Abstract-:This research paper explores the development and implementation of a decentralized voting system using blockchain technology. Traditional electoral systems face challenges such as voter fraud, lack of transparency, and centralized control. Blockchain offers a potential solution by providing a secure, transparent, and immutable platform for voting. In this paper, we propose a decentralized voting system built on Ethereum smart contracts, where votes are recorded securely, and election results are tamper-proof. We focus on key functionalities, including voter registration, vote casting, result tallying, and ensuring voter anonymity. The system was designed and tested using Ethereum’s test networks, with MetaMask integration for voter authentication. While the prototype demonstrated a functional and secure system for small-scale elections, challenges such as scalability, voter privacy, and legal compliance remain. Future work includes investigating layer-2 solutions, zero- knowledge proofs, and decentralized identity systems to address these limitations and scale the system for larger elections.

DOI: 10.61137/ijsret.vol.11.issue2.428

Published by: Kajal Tripathi

A Comprehensive Anti-Theft Vehicle Protection Framework Using Embedded Electronics and Python
Authors:-Assistant Professor Kandimalla Mallikarjuna Rao, Pinapala Sai Pavan, Loya Ravi Teja, Vennapusa Chinna Lingareddy, Tatanaboina Johny

Abstract-:Vehicle theft remains a significant concern, necessitating the development of advanced security systems that provide real- time monitoring and effective deterrence. This project, “A Comprehensive Anti-Theft Vehicle Protection Framework Using Embedded Electronics and Python,” presents a robust solution integrating biometric authentication, sensor-based detection, image capture, and remote communication to ensure comprehensive vehicle safety. The system is built around an ESP32 microcontroller that coordinates with various components, including a fingerprint sensor for authorized access, a vibration sensor for detecting unauthorized tampering, and a camera module to capture images of potential intruders, which are stored and emailed using Wi-Fi. A display module (OLED or LCD) provides real-time feedback on system status, while a mosquito module emits ultrasonic waves to deter intruders. Upon verified access, a DC motor enables vehicle operation, and in the event of a breach, GSM and GPS modules send SMS alerts with the vehicle’s live location. The GSM module also supports remote control, allowing the user to activate or deactivate the motor via SMS. Additionally, a buzzer and display work in tandem to notify nearby individuals and the owner of a security threat. This integrated system leverages embedded electronics and IoT technologies to deliver an intelligent, multi-layered defense against vehicle theft.

DOI: 10.61137/ijsret.vol.11.issue2.427

Published by: Kajal Tripathi