More than 80 percent of all motorcycle crashes result in injury or death to the motorcyclist. Per mile driven, a motorcyclist is 16 times more likely to die in a crash than an automobile driver. Wearing a motorcycle helmet reduces that risk by almost one-third (29 percent). Wearing a helmet is the single most critical factor in preventing or reducing head injuries among motorcycle drivers and passengers. First, about half of all serious motorcycle accidents happen when a car pulls in front of a bike in traffic. These accidents typically happen at very low speeds, with a typical impact velocity, after all the braking and skidding, below 40 kmph. Actual crash speeds are slow, but the damage isn’t. The energy is proportional to the height from which the rider falls—not his forward speed at the time. A high-speed crash may involve a lot of sliding along the ground, but all modern full-face helmets do an excellent job of protecting you from abrasion. Helmets hit a flat asphalt surface (75-85%) Helmets do hit curbs a small percentage of the time, but usually after sliding along on the road first. The aim of this study is to find the Vibrational deformation using a motorcycle helmet including different material. The material considered for the analysis are polycarbonates and polypropylene is most commonly used engineering material but having certain limitations and to overcome those we have taken an alternative material for design and analysis point of view i.e. carbon fibre. The most commonly used materials for motorcycle helmet are Fiber reinforced plastic, Polypropylene and other plastic materials out of which find that the carbon fibre is best suited for helmet material for high impact of helmets this result shows that the helmet deformation was higher with the polypropylene material with maximum frequency, while helmet constructed via carbon fiber had less deformation rate with less frequency The comparison of material also shows the reflection of the above three points that carbon fibre can be better and best suited for helmet design and analysis.