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.