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.

Line of Business
Automotive
Technologies
Docker
Openshift
AWS
MQTT
Jenkins

Project
Summary

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.

What our Client says

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

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