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.
- 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.