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• W4385192622 abstract "In addition to determining car speed, the method can be used to track traffic patterns along a road or motorway. The speed of the car is rarely determined with the security cameras already in use. The majority of the currently used methods require ongoing maintenance and employ expensive sensors. As a result, we suggest a technique for using security cameras to monitor traffic and estimate car speed. To detect a car, pinpoint its location, determine the distance it has travelled over time, and ultimately determine its speed, various image processing techniques are applied. The proposed method's ability to predict speed even in videos with low resolutions or quality will be evaluated. The traffic surveillance system (TSS) is a crucial instrument for gathering important data (speed). Convolution neural networks (CNNs) with a single pipeline have been the focus of a significant amount of research up to this point. Even though this research produced highly accurate results, they needed a sizable dataset and an implementation on specialized hardware." @default.
• W4385192622 created "2023-07-25" @default.
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• W4385192622 date "2023-05-12" @default.
• W4385192622 modified "2023-09-23" @default.
• W4385192622 title "Real Time Car Speed Detection Using CNN Algorithm" @default.
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• W4385192622 doi "https://doi.org/10.1109/icacite57410.2023.10183072" @default.
• W4385192622 hasPublicationYear "2023" @default.
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