The increase in motorcyclist accidents highlights the urgent need to improve road safety and awareness of traffic regulations. The article presents a proposal focused on assistance systems for motorcycle riders, with the ability to provide relevant information without the need to look away from the road, improving the perception of safety. The architecture of the proposed system integrates an intelligent visor on the motorcyclist’s helmet, using devices such as TinyDuino and Raspberry PI Zero 2W, along with ultrasonic sensors and cameras to improve safety. OpenCV algorithms and data processing optimize the display of critical information in real time, while a prism allows data to be projected without obstructing the driver’s view. Several tests were conducted to evaluate the effectiveness of the smart visor on motorcyclist safety. Signal recognition tests with Raspberry PI Zero 2W and OpenCV achieved 90% accuracy, while workload tests showed that the visor significantly reduces load and improves response times compared to conventional systems. Integration and usability tests showed that the visor adapts well to different helmets without obstructing vision, and driving simulations revealed that drivers with the visor maintained better concentration and were more compliant with speed limits.