Today’s average vehicle has around 100 sensors, sending data to 30-50 microcontrollers and generating about 1TB of data per day. As more sensors continue to be added to automobiles, there will be greater opportunities to gather actionable insights from this data.
The Qeexo AutoML Advantage
- Models generated by Qeexo AutoML run on the edge, without the need for cloud – ideal for automotive applications that require high availability and immediate response with near-zero latency.
- Running models locally further protects driver’s privacy while self-isolating from potential breaches.
- With the variety of sensors already integrated in modern vehicles, potential automotive use cases include: car condition monitoring (engine health, tire condition, wheel alignment), road condition monitoring (ice, rain, snow, sandy, paved, unpaved), driver behavior/attention monitoring, and more.