Real-Time Vehicle Diagnostics | Vehicle Health Monitoring | Case Study

Challenge

Vehicle Owners spend more on repairs since the malfunctioning parts are not repaired on time.
Data from various sensors were used for diagnostics only at service centers.
Secure and real-time collection of vehicle sensor data and analysis was cumbersome due to volume.
Collection and processing infrastructure and software licenses were expensive limiting the use of data for decision making and actions.

Solution

Put together a data lake based architecture collecting information from varying sources, in real-time.
IoT streams from numerous sensors actively channeled through an event driven streaming analytics platform.
Serverless architecture to process data, detect anomalies, notify users and generate vehicle health report was scaling up or down to needs without expensive licenses and hardware.
Integrated notifications on mobile app.

Technologies

Benefits

Reductions in cloud service expenses, PDF licensing costs, and warranty budgets.
Data-driven reporting to help customers better understand the mechanical health of their vehicles.
Eliminated most data center hardware, allowing fast time to value; low maintenance; and an economical, usage-based cost model.
Users were able to save cost of repair since anomalies were detected well in advance.