Abstract

AI Based Helmet Device to detect wearable helmets is the core of our task. Close to 200 million people travel each day on two-wheelers. We generally see people who ride two-wheelers without even a helmet and nowadays it is regular occurrence. More than 100 motorcyclists die of head injury each day.
                  Advertisements for ‘Safe Biking’ didn’t happen as individuals aren’t worried about the effects they’ll face. In our plan, a camera should be positioned in an orientation in front of the speedometer, so that it protects the face of the driver. The monitoring system keeps updating when the rider turns on the vehicle, searches for the image of the helmet by taking continuous input from the camera. If the camera notices the driver is not wearing a helmet it sends a signal to switch off the vehicle to the microprocessor. This protects the rider from injuries to the head, and death, incidentally. And even when the driver is traveling for hours, and the engine turns off unconditionally as he decides to remove his helmet. And that will save the driver from brain injury. Helmet saves human beings from head injuries and prevents human death from those head injuries.
Keywords: AI, Smart helmet, Image Edge Detection, Head , Public Road Traffic Image Capture, Image Processing.