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公开(公告)号：US12136278B2
公开(公告)日：2024-11-05
申请号：US18302979
申请日：2023-04-19
Applicant: Verizon Connect Development Limited
Inventor： Douglas Coimbra De Andrade , Andrea Benericetti , Aurel Pjetri , Leonardo Taccari , Francesco Sambo , Alex Quintero Garcia , Luca Bravi
Abstract: A device may process the video data, with a first machine learning model, to identify a driver of a vehicle and may process the video data associated with the driver, with a second machine learning model, to detect behavior data identifying a behavior of the driver. The device may process the behavior data, with a third machine learning model, to determine distraction data identifying whether the behavior is classified as a distracted behavior. The device may process the behavior data, with a fourth machine learning model, to determine policy compliance data identifying whether the behavior satisfies one or more policies. The device may calculate a distraction score based on the distraction data and the video data, and may calculate a policy compliance score based on the policy compliance data and vehicle data. The device may perform one or more actions based on the distraction score and the policy compliance score.
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公开(公告)号：US11651599B2
公开(公告)日：2023-05-16
申请号：US16947780
申请日：2020-08-17
Applicant: Verizon Connect Development Limited
Inventor： Douglas Coimbra De Andrade , Andrea Benericetti , Aurel Pjetri , Leonardo Taccari , Francesco Sambo , Alex Quintero Garcia , Luca Bravi
CPC classification number: G06V20/59 , B60W40/09 , B60W50/14 , G06N20/00 , G06T7/10 , G06V20/40 , G06V40/172 , B60W2540/229 , G06T2207/20081 , G06T2207/20132 , G06T2207/30201
Abstract: A device may process the video data, with a first machine learning model, to identify a driver of a vehicle and may process the video data associated with the driver, with a second machine learning model, to detect behavior data identifying a behavior of the driver. The device may process the behavior data, with a third machine learning model, to determine distraction data identifying whether the behavior is classified as a distracted behavior. The device may process the behavior data, with a fourth machine learning model, to determine policy compliance data identifying whether the behavior satisfies one or more policies. The device may calculate a distraction score based on the distraction data and the video data, and may calculate a policy compliance score based on the policy compliance data and vehicle data. The device may perform one or more actions based on the distraction score and the policy compliance score.
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公开(公告)号：US11710082B2
公开(公告)日：2023-07-25
申请号：US17227628
申请日：2021-04-12
Applicant: Verizon Connect Development Limited
Inventor： Matteo Simoncini , Aurel Pjetri , Francesco Sambo , Alessandro Lori , Fabio Schoen
CPC classification number: G06N20/20 , B60W40/09 , B60W50/12 , G06F18/21 , G06V20/597 , B60W2050/0071
Abstract: A device may receive vehicle operation data associated with operation of a plurality of vehicles, and may process the vehicle operation data to generate processed vehicle operation data. The device may extract multiple features from the processed vehicle operation data, and may train machine learning models, with the multiple features, to generate trained machine learning models that provide model outputs. The device may process the multiple features, with a feature selection model and based on the model outputs, to select sets of features from the plurality of features, and may process the sets of features, with the trained machine learning models, to generate indications of driving behavior and reliabilities of the indications. The device may select a set of features, from the sets of features, based on the indications and the reliabilities, where the set of features may be calculated by a device associated with a particular vehicle.
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