Ride Vision is launching the world's first collision-aversion technology (CAT) for motorcycles, an AI-based system for motorcycle safety.
Automated technologies for auto is no news, but until now, motorcycles haven't been privy to take advantage of similar tech. Accounting for the tilt of the bike, and rider behavior, such as riding between lanes and cars, makes the task of a machine recognizing danger a qualitatively different task than it is for cars. Moreover, with motorcycles being less crashworthy, the stakes are correspondingly higher.
Ride Vision uses two wide-angle cameras, covering you all around. The system uses predictive vision algorithms to help riders make critical decisions in real time while keeping their focus on the road. Ride Vision uses a combination of image-recognition and other AI-based algorithms, making it the first all-encompassing solution that can properly account for positional roll and especially rider behavior.
The solution can be installed on any kind of two-wheeled vehicle, regardless of the model or manufacturer. The system connects to the rider's mobile device via a dedicated app.
Ride Vision also functions to enhance the experience, with features like summaries that contain ride data, and enables fuel-consumption calculations, or even insurance-rate reduction inquiries. It also will be upgraded with more advanced safety features, and the capability to record video.