Together with Ducati’s world-leading experts in motorbike testing, we modernized configuration testing by combining two disruptive technologies – Artificial Intelligence and Internet of Things (IoT) – to create a mobile application capable of simulating and monitoring a motorbike’s performance under a vast array of track and weather conditions.
IoT Bike sensors, ranging from 40 to 100 depending on the bike, collect a vast array of data points – speed, engine running parameters, revs, tire and brake temperatures, and more – as well as track key performance indicators (KPIs) including acceleration, oscillation, vibration and grip.
Artificial Intelligence is then applied to the racing performance KPIs and past test data to identify the optimal bike set-up configuration, using advanced algorithms working on the data patterns from the different sensors, machine learning and applying clustering and regression algorithms.
Performance data is made available to race engineers in an easy to use mobile dashboard that allows them to experiment with different bike configurations and predict outcomes as they work with the rider in pre-race preparation.
