Detection of Non-helmet Riders and Extraction of Licence Plate Number - Maddala, Seetha
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The detection of non-helmet riders and extraction of license plate numbers using the YOLOv2 object detection algorithm and OCR (Optical Character Recognition) method is an innovative approach to enhance safety and enforce traffic regulations. This summary provides an overview of the process involved in detecting non-helmet riders and extracting license plate numbers using these techniques.YOLOv2 (You Only Look Once version 2) is an advanced object detection algorithm that operates by dividing the input image into a grid and predicting bounding boxes and class probabilities for each grid cell.…mehr

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Produktbeschreibung
The detection of non-helmet riders and extraction of license plate numbers using the YOLOv2 object detection algorithm and OCR (Optical Character Recognition) method is an innovative approach to enhance safety and enforce traffic regulations. This summary provides an overview of the process involved in detecting non-helmet riders and extracting license plate numbers using these techniques.YOLOv2 (You Only Look Once version 2) is an advanced object detection algorithm that operates by dividing the input image into a grid and predicting bounding boxes and class probabilities for each grid cell. This algorithm has been widely adopted for real-time object detection tasks due to its accuracy and efficiency.
Autorenporträt
M. Seetha a obtenu un doctorat en informatique et ingénierie dans le domaine du traitement des images à l'université technologique Jawaharlal Nehru, à Hyderabad. Il travaille actuellement comme professeur et directeur du département d'informatique à GNITS, à Hyderabad. Ses domaines de recherche comprennent le traitement d'images, l'informatique douce, l'intelligence artificielle, l'exploration de données et l'optimisation.