Cars are equipped with more and more sensors which are connected to the cloud. For example, you might get a call from your car company when your airbags are activated and they'll ask you if you need help.
As instrumentation increases, it becomes possible to identify root causes of car malfunctions by correlating failures to sensor data. This is exactly what AI (neural networks) is good at. The car cloud knows the history of each specific car and can notify the user of probable failures before they happen. As data increases, so does the reliability of predictions. This is a form of predictive maintenance.
Ideally, high resolution data and machine learning could lead to servicing cars only when risks of failure pass a threshold, reducing unnecessary part changes and making periodic service visits a thing of the past.
Another interesting use case: Advanced Automatic Collision Notification
Wednesday, January 01, 2020
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