| Sumario: | The following paper came up with a method for detecting motorbike riders with &without a helmet with the help of machine learning, and IoT(Internet of things). Two-wheeler accidents are increasing gradually in all countries. A helmet or a protective cap is the predominant safety equipment of two-wheelers, motorcycle riders, and pillion riders, however many drivers neglect wearing helmets. The main outcome of wearing a helmet is to protect the head of a person travelling on two-wheelers just in case of a major or minor accident or fall from a running bike. We worked on a new approach that priorly collected a dataset of images and videos of road traffic where we collected various kinds of photos like with driver wearing a helmet, a driver without wearing a helmet and also the primary rider is with a hel met and second person without a helmet so and differentiated the 2 wheelers from other heavy and light vehicles like cars and bus on road. This detection of wearing a helmet is done through machine-learning and utilizing a free open-source library cross-platform using which we can develop real-time computer vision applications software called OpenCV.
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