公开(公告)号：US20240185566A1

公开(公告)日：2024-06-06

申请号：US18076227

申请日：2022-12-06

Applicant: Metropolis Technologies, Inc.

Inventor： Edwin Thomas ,  June Guo ,  Ji Sung Hwang ,  Anil Kumar Nayak ,  Todd Merle Shipway ,  Barry James O'Brien ,  Alexander David Israel

IPC: G06V10/764

CPC classification number: G06V10/764 ,  G06V2201/08

Abstract: A device captures a series of images over time in association with a gate, each image having a timestamp. The device determines, for a vehicle approaching the entry side, from a subset of images of the series of images featuring the vehicle, a first data set comprising a plurality of parameters that describe attributes of the vehicle by inputting the subset of images into a first machine learning model and a vehicle identifier of the vehicle by inputting images of the subset featuring a depiction of a license plate of the vehicle into a second machine learning model. The device stores the data set in association with one or more timestamps with the subset of images, determines a second data set for a second vehicle approaching the exit side, and responsive to determining that the first data set and the second data set match, instructs the gate to move.

公开(公告)号：US20240185569A1

公开(公告)日：2024-06-06

申请号：US18431738

申请日：2024-02-02

Applicant: Metropolis Technologies, Inc.

Inventor： Edwin Thomas ,  June Guo ,  Ji Sung Hwang ,  Anil Kumar Nayak ,  Todd Merle Shipway ,  Barry James O'Brien ,  Alexander David Israel

IPC: G06V10/764

CPC classification number: G06V10/764 ,  G06V2201/08

Abstract: A device captures a series of images over time in association with a gate, each image having a timestamp. The device determines, for a vehicle approaching the entry side, from a subset of images of the series of images featuring the vehicle, a first data set comprising a plurality of parameters that describe attributes of the vehicle by inputting the subset of images into a first machine learning model and a vehicle identifier of the vehicle by inputting images of the subset featuring a depiction of a license plate of the vehicle into a second machine learning model. The device stores the data set in association with one or more timestamps with the subset of images, determines a second data set for a second vehicle approaching the exit side, and responsive to determining that the first data set and the second data set match, instructs the gate to move.

公开(公告)号：US20240412634A1

公开(公告)日：2024-12-12

申请号：US18206429

申请日：2023-06-06

Applicant: Metropolis Technologies, Inc.

Inventor： Ji Sung Hwang ,  Anil Kumar Nayak ,  Barry James O’Brien ,  Kaleb-John Seijin Loo ,  Alexander David Israel

IPC: G08G1/14 ,  G06V20/58 ,  G06V20/62

Abstract: An edge device generates an exit event for a vehicle exiting a parking facility. The edge device determines whether the exit event matches with an entry event. Responsive to determining that the exit event does not match to an entry event, the edge device inputs images of the vehicle into a supervised machine learning model and receives, as output from the model, an exit feature vector. The edge device retrieves entry feature vectors corresponding to hanging entry events. A hanging entry event is an entry event for a vehicle with an unknown vehicle identifier. Edge device inputs the exit feature vector and the entry feature vectors into an unsupervised machine learning model and receives, as output from the model, matching scores for each entry feature vector. Edge device matches the exit event to one of the hanging entry events based on the matching scores.

公开(公告)号：US20240412314A1

公开(公告)日：2024-12-12

申请号：US18206431

申请日：2023-06-06

Applicant: Metropolis Technologies, Inc.

Inventor： Ji Sung Hwang ,  Anil Kumar Nayak ,  Barry James O’Brien ,  Kaleb-John Seijin Loo ,  Owen Grace Wise Sanford ,  Alexander David Israel

IPC: G06Q50/26

Abstract: A device detects, using input from one or more sensors installed at a parking facility of a plurality of parking facilities, an infraction caused by a vehicle. Responsive to detecting the infraction, the device generates a vehicle fingerprint by inputting a depiction of the vehicle into a supervised machine learning model, the depiction derived from one or more images of the vehicle captured at the parking facility, and receiving a feature vector of the vehicle as output from the supervised machine learning model, the feature vector comprising a plurality of embeddings each describing a dimension of the vehicle. The device monitors for entry of the vehicle at each of the plurality of parking facilities using the vehicle fingerprint, and, responsive to detecting entry of the vehicle at a given one of the plurality of parking facilities, triggers a remediation action.