公开(公告)号：US20230252800A1

公开(公告)日：2023-08-10

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

IPC: G06V20/59 ,  G06T7/10 ,  B60W40/09 ,  G06N20/00 ,  B60W50/14 ,  G06V20/40 ,  G06V40/16

CPC classification number: G06V20/59 ,  G06T7/10 ,  B60W40/09 ,  G06N20/00 ,  B60W50/14 ,  G06V20/40 ,  G06V40/172 ,  G06T2207/20081 ,  B60W2540/229 ,  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.

公开(公告)号：US20220245935A1

公开(公告)日：2022-08-04

申请号：US17659928

申请日：2022-04-20

Applicant: Verizon Connect Development Limited

Inventor： Leonardo TACCARI ,  Luca KUBIN ,  Tommaso BIANCONCINI ,  Andrea BENERICETTI ,  Leonardo SARTI ,  Tommaso INNOCENTI

IPC: G06V20/10 ,  G06N3/04 ,  B64C39/02 ,  G08G1/16

Abstract: A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.

公开(公告)号：US20210395026A1

公开(公告)日：2021-12-23

申请号：US17446208

申请日：2021-08-27

Applicant: Verizon Connect Development Limited

Inventor： Marco GUALTIERI ,  Leonardo TACCARI ,  Andrea BENERICETTI ,  Tommaso BIANCONCINI ,  Alessio FRUSCIANTE ,  David DI LORENZO

IPC: B65G65/30 ,  G09B9/00 ,  G06T19/00

Abstract: A load planning platform may generate, according to one or more loading rules, a preliminary packing solution that simulates placing unpacked items, in a set of items, into a container. The load planning platform may generate a set of packing solutions by applying one or more available moves to the preliminary packing solution. The load planning platform may select a final packing solution from the set of packing solutions based on one or more optimization criteria associated with the container and the set of items. The load planning platform may provide access to a three-dimensional rendering of the final packing solution that differentiates each item in the set of items based on a sequence in which the set of items are to be unloaded from the container.