AI Use Case
Visualise and recognise road layout, other vehicles and pedestrians and potential risks to empower predictive driving
Vision systems that enable risk and reality recognition are key to a host of autonomous and semi-autonomous vehicle use cases. Typically these rely on a battery of AI ranging from image recognition to predictive responses.
Risk reduction - Real time awareness,Risk reduction - Reduce environmental physical risk
Uber~Uber's self driving car failed to visualise and recognise a pedestrian and the potential risk in real-time resulting in a fatal accident,Tesla Inc~Drivers demonstrate Tesla's Autopilot limitations in recreation of fatal Model X crash at exact same location,Motor Vehicles Department Kerala~The Motor Vehicles Department in Kerala detects lack of seatbelt or helmet usage in motor vehicles in with 98% accuracy in trial
Consumer Goods And Services
Automobiles And Parts
ML Task - Prediction - Annotation