System for predicting hydroplaning events in a vehicle

A system for predicting a hydroplaning event in a vehicle, wherein the system comprises:

• a tread detection sensor configured to capture information related to tread depth of at least one tire of the vehicle;
• a road condition detection sensor configured to capture information related to a road condition, wherein the road condition includes a presence of water on a road surface;
• a vehicle speed detection unit configured to capture information related to a real-time speed of the vehicle;
• and
• a processing unit, communicably coupled with the tread detection sensor, the road condition detection sensor, and the vehicle speed detection sensor, wherein the processing unit is configured to:
• receive input data from the tread detection sensor, the road condition detection sensor, and the vehicle speed detection sensor;
• determine the tread depth based on the captured information related to the tread depth, the road condition based on the captured information related to the road condition, and the real-time speed of the vehicle based on the captured information related to the real-time speed of the vehicle;
• determine a risk score based on the tread depth, the road condition and the real-time vehicle speed by employing a pre-trained machine learning model;
• and
• predict a hydroplaning event, when the determined risk score is greater than a threshold risk score.