In our researching stage, we focused on distracting concepts of current “smart helmets” and aimed to create a smart helmet that can successfully assist the rider without distracting them. We focused on this research, as since there are other helmets already on the market like ours, we needed aspects that would differentiate our helmet from our competition. Our helmet will not distract the driver as the sensors will light an LED on the visor, making the rider aware of something being in their blindspot. Not only does this cause less distractions for the rider but it also keeps the rider from taking their eyes off of the road in front of them. For our experiment, we decided to simulate a highway situation with one person wearing the helmet in the hallway as several of our classmates passed by them with ranging speeds. If the student who was wearing the helmet saw the light from the sensors come on when another student was in their blindspot, the “rider” would raise their hand to notify the data takers that someone was detected. The ranging speeds we had were one person was slowly walking by, one person was jogging by and one was running full speed. After experimentation was calculated, we gathered the data that 83% of “cars” were avoided when they passed by the rider. Only 17% of the “cars” were not detected or were detected but with a small delay. We overcame this by adjusting the coding of the circuit board in which there was a smaller delay or no delay at all. For a finalized helmet, we plan on adjusting the circuit board even more for further experimentation.