In today’s world managing the records of attendance of staffs, students, employee or bus is a tedious task. This project focuses on automating the bus attendance process through vehicle license plate recognition. As, the license plate is a feature that is peculiar to every vehicle, it would help in efficiently marking the bus attendance. The bus attendance system using RFID is a time consuming process. Hence we developed a project to efficiently mark attendance using number plate recognition and OCR. The system was trained using faster RCNN model with bus image dataset. The proposed system is the number plate is captured through surveillance camera and the captured image will be passed as an input to the neural network for training and the number plate will be detected. Character extraction is done using OCR and extracted character matched will be checked with the database and the attendance for particular bus will be marked.


    Access

    Download


    Export, share and cite



    Title :

    Bus Attendance System using Optical Character Recognition



    Publication date :

    2020-04-30


    Remarks:

    oai:zenodo.org:5563391
    International Journal of Engineering and Advanced Technology (IJEAT) 9(4) 2133-2136



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    380 / 629




    OCR (Optical Character Recognition)

    Kwon, Kye‐Si ;Ready, Steven | Wiley | 2014


    AI-based Attendance Tracking System using Real-Time Facial Recognition

    Abirami, S.K. / Jyothikamalesh, S. / Sowmiya, M. et al. | IEEE | 2022



    Smart Parking System Based On Optical Character Recognition

    Athira, A. / Lekshmi, S. / Vijayan, Pooja et al. | IEEE | 2019


    Optical character recognition (OCR) in uncontrolled environments using optical correlators

    Morin, A. / Bergeron, A. / Prevost, D. et al. | British Library Conference Proceedings | 1999