Ride Vision develops an automated driver assistance system designed specifically for motorcycles, utilizing advanced computer vision and AI algorithms. Its Collision Aversion Technology (CAT) is a fusion of artificial intelligence (neural networks) and computer vision designed to seamlessly integrate with the motorcycles, utilizing only standard cameras as visual sensors. CAT recognizes and analyzes only relevant threats without the need for expensive hardware and without disturbing the rider's focus. CAT footage analysis is built to use any sensor available on a motorcycle, significantly reducing production cost and providing freedom of modularity to manufacturers. CAT and its continuous data analysis provide predictive vision with unprecedented, affordable road control and safety for every rider on any motorcycle.