In recent years, where the use of motorbikes has increased due to its cost-effectiveness and reliability but also the surge in motorbike accidents is very alarming. A big portion of accident-related fatalities has been directly linked to body injuries including human body’s most sensitive part that is human’s head. Major reasons for fatalities involving head injuries by motorbike accidents includes not wearing helmets and violating traffic rules and regulations. To address this issue, this research presents an idea of a system consisting of a high-tech surveillance. The system uses advanced computer techniques including computer vision, image processing, and machine learning. The system runs a face detection and recognition module to identify and check helmet on the rider’s head. The aim of this research is to enhance the safety of rider by monitoring rider’s helmet, and motorbike’s speed in real-time. If any of these will be violated, then the system will launch a notification consisting of violated terms to their family. Furthermore, rider’s family can also watch rider through a live video feature. The system is evaluated and tested on a public dataset, and the obtained results s
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