INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
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.
Keywords:
Facial Recognition, barcode scanning, AI and cutting-edge technology, real-time notifications to parents.
Cite Article:
"Bus Attendance System through facial recognition by implementing AI integration ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d772-d778, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311385.pdf
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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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