公开(公告)号：US20250054312A1

公开(公告)日：2025-02-13

申请号：US18798584

申请日：2024-08-08

Applicant: Hayden AI Technologies, Inc.

Inventor： Rajesh MADHUR ,  Anthony LOBAY ,  Patrick L. McGUIRE ,  Matt MUNDELL ,  Thomas MELANSON ,  Wenwu XIU ,  Andrei LIAUKOVICH ,  Michael GLEESON-MAY ,  Vaibhav GHADIOK

IPC: G06V20/54 ,  G06V10/48 ,  G06V10/70 ,  G06V20/58 ,  G06V20/62 ,  H04N23/11 ,  H04N23/50 ,  H04N23/90

Abstract: Disclosed herein are methods, devices, and systems for automatically detecting a school bus stop-arm violation. For example, one of the methods can comprise capturing videos of a vehicle using a plurality of cameras of a camera hub coupled to a school bus while the school bus is stopped and at least one stop-arm of the school bus is extended. The method can comprise inputting the videos to a vehicle detection deep learning model and to a vehicle tracker running on a control unit communicatively coupled to the camera hub to detect and track the vehicle as the vehicle passes the stopped school bus. The method can further comprise automatically detecting a license plate number of a license plate of the vehicle from portions of the videos using an automated license plate recognition (ALPR) deep learning model running on the control unit and generating an evidence package of the violation.

公开(公告)号：US20240161508A1

公开(公告)日：2024-05-16

申请号：US18365631

申请日：2023-08-04

Applicant: Hayden AI Technologies, Inc.

Inventor： Wiktor MURON ,  Maciej BUDYS ,  Andrei LIAUKOVICH ,  Marcin GRZESIAK ,  Michael GLEESON-MAY ,  Shaocheng WANG ,  Vaibhav GHADIOK ,  Morgan KOHLER

IPC: G06V20/54 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58

CPC classification number: G06V20/54 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G06V2201/08

Abstract: Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.

公开(公告)号：US20240412535A1

公开(公告)日：2024-12-12

申请号：US18595978

申请日：2024-03-05

Applicant: Hayden AI Technologies, Inc.

Inventor： Shaocheng WANG ,  Wiktor MURON ,  Michael GLEESON-MAY ,  Bo SHEN

IPC: G06V20/56 ,  G06V10/26 ,  G06V10/44 ,  G06V10/82 ,  G06V20/58 ,  G06V20/62

Abstract: Disclosed herein are methods, devices, and systems for automatically detecting double parking violations. For example, one aspect of the disclosure concerns a method comprising determining a location of a road edge of a roadway from one or more video frames of a video captured by one or more video image sensors of an edge device; determining a layout of one or more lanes of the roadway, including a no-parking lane, based on the road edge; bounding the no-parking lane using a lane bounding polygon; bounding a vehicle detected from the one or more video frames using a vehicle bounding polygon; and detecting a potential double parking violation based in part on an overlap of at least part of the vehicle bounding polygon with at least part of the lane bounding polygon and a determination of whether the vehicle is static or moving.