iot
Clever data volume reduction
What if cloud storage becomes too expensive?
Current state:
Modern vehicles are increasingly equipped with embedded sensors that go far beyond traditional components — even car seats now capture detailed motion data. In this case study, a velocity sensor integrated into the seat continuously monitored driving behaviour, recording data every five seconds during operation. While this provides valuable insights into driving dynamics and potential insurance incidents, it also introduces new challenges:
- Data Volume: Continuous recording rapidly generates massive datasets, driving up cloud storage and processing costs.
- Scalability: Managing and analysing this volume of sensor data becomes increasingly unsustainable for both manufacturers and insurance providers.
OWASmooth’s solution:
OWASmooth applied its proprietary data quality enhancement algorithm to the raw IoT data from the automotive industry. The solution focused on two key outcomes:
Statistics
8
Incidents
89%
Data Reduction