Motorcycle accidents are significant public health problems and can result in catastrophic injuries or death. The smart helmet with its latest technology holds out hope for a solution to reduce some of the hazards. This paper analyzes the overall consequences of smart helmet areas on preventing motorcyclist accidents and how they handle collisions. We discuss smart helmets that go beyond just collision detection and blind spot monitoring by adding emergency SOS features to tell us if they could save your bacon where it counts—in an accident. Additionally, we examine how these helmets can help to activate emergency response via wearable features such as location tracking in real-time and health monitoring posts or during an accident. It is calculated that the detection accuracy of accidents in the proposed system using a loss function of 98.10% and respective to minimum Detection Loss (0.4302) which improves by nearly 1.2 times than the existing one. This paper aimed to gather information from existing research and real-world data on smart helmets, compiling it into a comprehensive summative story that demonstrates the potential for the biggest impact concerning revolutionizing motorcycle safety.