Automated Parking Entrance System Using Different Approaches

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dc.contributor.advisorRiasat Khan
dc.contributor.authorMd.Naimul Islam Suvon
dc.contributor.authorMehebuba Ferdous
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-12
dc.date.accessioned2024-05-12T04:41:35Z
dc.date.available2024-05-12T04:41:35Z
dc.date.issued2020
dc.description.abstractAutomatic license plate identification in today's world plays a vital role in vehicle tracking and organization. Our proposed model of automation in the detection and recognizing vehicles through the use of number plate computerization is expected to create a new scope of evolution for large cities. The machine can be used for the parking system of motor vehicles, as well as to collect tolls. The detection of the Bangla license plates from different cities and multi-class vehicles is the first step of the proposed system. The license plate detection has been performed with mathematical morphological approach and the Faster R-CNN architecture. Next, the Tesseract Optical Character Recognition system, in conjunction with the Bangla character recognition model, has been used for vehicle indexing. We are also planning to make an application for the parking lot system. That will manage all the information about the parking lot system. Numerical results demonstrate that the accuracies of license plate detection for the computer vision and Faster R-CNN are 95% with limitation and 98% without any limitation, respectively. Finally, our model achieved an accuracy of 96% for character recognition with some limitation.
dc.description.degreeUndergraduate
dc.identifier.cd600000064
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/652
dc.language.isoen_US
dc.publisherNorth South University
dc.subjectTECHNOLOGY::Electrical engineering, electronics and photonics::Electrical engineering
dc.titleAutomated Parking Entrance System Using Different Approaches
dc.typeProject
oaire.citation.endPage6
oaire.citation.startPage1
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