Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14968
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dc.contributor.authorRadha, R-
dc.contributor.authorReddy, Kotha Bhargavi-
dc.contributor.authorYeshwanth, R-
dc.date.accessioned2024-03-30T10:11:00Z-
dc.date.available2024-03-30T10:11:00Z-
dc.date.issued2023-
dc.identifier.isbn9.79835E+12-
dc.identifier.urihttps://doi.org/10.1109/AICERA/ICIS59538.2023.10420201-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14968-
dc.description.abstractEnhancing Vehicle Analysis with fine Estimation on video streams time object detection and tracking, and OCR for license plate recognition. By leveraging YOLO, the project extracts precise vehicle information from video streams, enabling comprehensive data collection for traffic analysis. Additionally, OCR algorithms automatically identify license plate numbers, facilitating law enforcement and fine estimation. This integrated approach enhances vehicle analysis, providing valuable insights for traffic optimization, infrastructure planning, and law enforcement strategies. The project aims to create safer, more efficient cities by harnessing the power of image processing techniques like YOLO and OCR in realtime vehicle analysis. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisher2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectImage Processingen_US
dc.subjectObject Detectionen_US
dc.subjectOcren_US
dc.subjectVehicle Analysisen_US
dc.subjectYoloen_US
dc.titleEnhancing Vehicle Analysis with Fine Estimation on Video Streams Using Image Processing Techniquesen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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