Nissan's EV car Leaf is heavily equipped with digital sensors. Their sole purpose was to grant information for the official repair services so it could create a seamless experience for the users. This project's first implementation was behind the curtains, all designed for the service technicians and professionals. And the second step was to introduce the meaningful data generated through the sensors to users.
Since the car already equipped with an onboard computing system with a bluetooth connection, it was fairly easy to get two devices Leaf, Nissan’s flagship EV car is equipped more than 200 sensors where they collect live information through the car and nearly half of them are pretty crucial for end-users. The beautiful part is, these sensors could be shared easily through your smart devices or to cloud. An alpha version of the app been built to view and monitor all the sensors available through the car. And the plan was to release it to the public. After collecting the feedback from the users, the collected data from the car translated into meaningful visualisations. Driving data has been translated into traffic rules and gamified into a fun way where encourages drivers to drive safely -it was a huge problem in the target region. The technical data that are meaningless for the users is collected within the user account and could be stored to Nissan cloud servers. This also enabled another useful selling point for the product - which is users could easily get in touch with Nissan Dealers/Services to set up a repair/maintenance and also dealers can check whether if it’s time for a check-up or if there’s any faulty going on with the user’s car.