Automotive

Machine learning model configurations for a smart interior

Providing configuration updates for the smart interior with secure cloud-to-vehicle communication for an automotive OEM.
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Project overview

Smart Interior project combines machine learning models with complex backend components, ensure vehicle communication, manage/transform the models.

Client

An automotive OEM wanted to provide the AI of the vehicles' interior with the latest updates from the training sessions in the backend.

Challenge

The client required configurations of a smart interior to be provided. Those configurations are fetched when the head units boot up producing high loads during rush hour. Still, the transfer of data from cloud to vehicle has to be secure.

Solution

Our elastic cloud solutions and simplistic design reduced operational cost outside of rush hours.

Result

Happy customers enjoy personalized interior settings without lifting a finger.

Details

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