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Helmet Detection
Helmet Detection using Deep Learning is a analytic solution that uses computer vision and machine learning techniques to detect the presence of helmets in images and videos. The system is trained on a dataset of images that contain helmets and non-helmet images.
The system has a high accuracy rate and can detect helmets even when they are partially obscured or at odd angles. It can also handle variations in lighting conditions and image resolutions.
Overall, Helmet Detection using Deep Learning is a powerful tool for ensuring safety in traffic areas and capture traffic violations. Thus, increase safetyness for people who drives
Last modified 10mo ago