Paper Title

Bus Attendance System through facial recognition by implementing AI integration

Article Identifiers

Registration ID: IJNRD_209982

Published ID: IJNRD2311385

DOI: Click Here to Get

Authors

JOHNSON C , KARTHICK M , SAKTHIVEL P , SASIKALA K , SANTHI A

Keywords

Facial Recognition, barcode scanning, AI and cutting-edge technology, real-time notifications to parents.

Abstract

The Bus Attendance System through facial recognition by implementing AI integration a cutting-edge solution designed to streamline and enhance the attendance tracking process for students utilizing college transportation services. This innovative system leverages facial recognition technology and barcode scanning in conjunction with a comprehensive student database to automate attendance recording. This Bus Attendance System not only enhances the efficiency of attendance tracking but also ensures security and transparency in student transportation. By AI technologies, it minimizes manual data entry errors and provides a seamless experience for both students and parents. the system offers valuable insights and reports for administrative purposes, contributing to overall campus safety and accountability. Additionally, the system also sends real-time notifications to parents' mobile numbers, informing them when their child enters and exits the college bus, ensuring peace of mind and safety for both students and parents.

How To Cite

"Bus Attendance System through facial recognition by implementing AI integration ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d772-d778, November-2023, Available :https://ijnrd.org/papers/IJNRD2311385.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : d772-d778

Other Publication Details

Paper Reg. ID: IJNRD_209982

Published Paper Id: IJNRD2311385

Downloads: 000121168

Research Area: Information Technology 

Country: Dharmapuri, Tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311385.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311385

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-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: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area