Paper Title

Iot Based Vehicle Safety And Security System Using Raspberry Pi

Article Identifiers

Registration ID: IJNRD_219291

Published ID: IJNRD2404685

DOI: Click Here to Get

Authors

A. Gangadhar , Y. Sai Manoj , V. Manohar Prasad , M. Charan , P. Sujan Anuranjani

Keywords

Internet of Things(IoT), Face Recognition, Raspberry Pi, MQTT, Twilio SMS alerts.

Abstract

This proposal presents an advanced integrated vehicle safety and security system that addresses both aspects accurately. Existing systems typically focus on safety or security measures, but not a combined solution. The proposed system incorporates a facial recognition-based authorization for security and an ultrasonic sensor to monitor vehicle movements for enhanced safety. By integrating these crucial components, the system aims to provide a comprehensive solution that enhances vehicle security through facial authentication while simultaneously reducing the risk of accidents through obstacle detection and speed control mechanisms. This integrated vehicle safety and security approach distinguishes the proposed system, offering a holistic solution that tackles the critical challenges in this domain.

How To Cite (APA)

A. Gangadhar, Y. Sai Manoj, V. Manohar Prasad, M. Charan , & P. Sujan Anuranjani (April-2024). Iot Based Vehicle Safety And Security System Using Raspberry Pi. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g678-g684. https://ijnrd.org/papers/IJNRD2404685.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : g678-g684

Other Publication Details

Paper Reg. ID: IJNRD_219291

Published Paper Id: IJNRD2404685

Downloads: 000121989

Research Area: Engineering

Country: Narasaraopet, Palnadu Dt., Andra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404685.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404685

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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