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Techniques to detect vehicle anomalies based on real-time vehicle data collection and processing
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Abstract:
Various embodiments may be directed to systems, devices, apparatuses to perform techniques such as determining vehicle data for a plurality of vehicles, wherein the vehicle data may be based on detections made by input devices of a plurality of mobile devices. Embodiments may further include determining vehicle attributes for the plurality of vehicles and environmental data. Embodiments also include training a machine-learning model with the vehicle data, the vehicle attributes, and the environmental data, and the machine-learning model may be trained to detect anomalies associated with vehicles having the at least one of the vehicle attributes. Embodiments may also include a trained machine-learning model to data to detect anomalies associated with a vehicle.
Utility
19 Aug 2019
25 May 2021