Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15393
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DC Field | Value | Language |
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dc.contributor.author | Kesari, Aditya | - |
dc.contributor.author | Payal | - |
dc.contributor.author | Sinha, Navya | - |
dc.contributor.author | Radha, R | - |
dc.date.accessioned | 2024-04-20T10:53:12Z | - |
dc.date.available | 2024-04-20T10:53:12Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15393 | - |
dc.description.abstract | The project "Enhancing Vehicle Analysis with Fine Estimation on video streams using Image Processing Techniques like YOLO and OCR" integrates YOLO for real-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 real-time vehicle analysis. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Alliance College of Engineering and Design, Alliance University | en_US |
dc.subject | Vehicle Analysis | en_US |
dc.subject | Fine Estimation | en_US |
dc.subject | Video Streams | en_US |
dc.subject | Image Processing Techniques | en_US |
dc.title | Enhancing Vehicle Analysis With Fine Estimation on Video Streams Using Image Processing Techniques | en_US |
dc.type | Other | en_US |
Appears in Collections: | Dissertations - Alliance College of Engineering & Design |
Files in This Item:
File | Size | Format | |
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CSE_G02_2023.pdf Restricted Access | 1.59 MB | Adobe PDF | View/Open Request a copy |
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