公开(公告)号：US20230283753A1

公开(公告)日：2023-09-07

申请号：US18314732

申请日：2023-05-09

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: H04N7/18 ,  G01S19/33 ,  G01C22/02 ,  G06V20/56 ,  G06F18/22 ,  G06F18/214 ,  G06F18/21 ,  H04N23/54 ,  H04N23/90 ,  G06V10/764

CPC classification number: H04N7/188 ,  H04N7/181 ,  G01S19/33 ,  G01C22/02 ,  G06V20/56 ,  G06F18/22 ,  G06F18/214 ,  G06F18/2163 ,  H04N23/54 ,  H04N23/90 ,  G06V10/764 ,  B60R16/023

Abstract: Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

公开(公告)号：US20240304002A1

公开(公告)日：2024-09-12

申请号：US18662319

申请日：2024-05-13

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G06V20/56 ,  G06N3/08 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58

CPC classification number: G06V20/588 ,  G06N3/08 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G06V2201/08

Abstract: Disclosed herein are systems, methods, and devices for detecting traffic lane violations. In one embodiment, a method for detecting a potential traffic violation is disclosed comprising bounding a vehicle detected from one or more video frames of a video in a vehicle bounding box. The vehicle can be detected and bounded using a first convolutional neural network. The method can also comprise bounding, using the one or more processors of the edge device, a plurality of lanes of a roadway detected from the one or more video frames in a plurality of polygons. The plurality of lanes can be detected and bounded using multiple heads of a multi-headed second convolutional neural network. The method can further comprise detecting a potential traffic violation based in part on an overlap of at least part of the vehicle bounding box and at least part of one of the polygons.

公开(公告)号：US20250069495A1

公开(公告)日：2025-02-27

申请号：US18941927

申请日：2024-11-08

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G08G1/01

Abstract: Disclosed herein are systems and methods for managing traffic rules. In one embodiment, a method of managing traffic rules can comprise generating or updating a semantic map layer based in part on positioning data obtained from one or more edge devices and videos captured by the one or more edge devices. The method can also comprise generating or updating a traffic enforcement layer on top of the semantic map layer. A plurality of traffic rules can be saved as part of the traffic enforcement layer. The method can further comprise generating or updating a traffic insight layer based in part on traffic violations or traffic conditions determined by the one or more edge devices or the server. The traffic insight layer can adjust or provide a suggestion to adjust at least one of the traffic rules based on an impact analysis conducted by the traffic insight layer concerning the traffic rule.

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：US20220238012A1

公开(公告)日：2022-07-28

申请号：US17658295

申请日：2022-04-07

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G08G1/01

Abstract: Disclosed herein are systems and methods for managing traffic rules. In one embodiment, a method of managing traffic rules can comprise generating or updating a semantic map layer based in part on positioning data obtained from one or more edge devices and videos captured by the one or more edge devices. The method can also comprise generating or updating a traffic enforcement layer on top of the semantic map layer. A plurality of traffic rules can be saved as part of the traffic enforcement layer. The method can further comprise generating or updating a traffic insight layer based in part on traffic violations or traffic conditions determined by the one or more edge devices or the server. The traffic insight layer can adjust or provide a suggestion to adjust at least one of the traffic rules based on an impact analysis conducted by the traffic insight layer concerning the traffic rule.

公开(公告)号：US20230326220A1

公开(公告)日：2023-10-12

申请号：US18314747

申请日：2023-05-09

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G06V20/56 ,  G06N3/08 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58

CPC classification number: G06V20/588 ,  G06N3/08 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G06V2201/08

Abstract: Disclosed herein are systems, methods, and devices for detecting traffic lane violations. In one embodiment, a method for detecting a potential traffic violation is disclosed comprising bounding a vehicle detected from one or more video frames of a video in a vehicle bounding box. The vehicle can be detected and bounded using a first convolutional neural network. The method can also comprise bounding, using the one or more processors of the edge device, a plurality of lanes of a roadway detected from the one or more video frames in a plurality of polygons. The plurality of lanes can be detected and bounded using multiple heads of a multi-headed second convolutional neural network. The method can further comprise detecting a potential traffic violation based in part on an overlap of at least part of the vehicle bounding box and at least part of one of the polygons.

公开(公告)号：US20220121860A1

公开(公告)日：2022-04-21

申请号：US17226537

申请日：2021-04-09

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G06K9/00 ,  G06K9/62 ,  H04N5/247 ,  G01C22/02 ,  G01S19/33 ,  H04N7/18 ,  H04N5/225

Abstract: Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

公开(公告)号：US20240163533A1

公开(公告)日：2024-05-16

申请号：US18314737

申请日：2023-05-09

Applicant: Hayden AI Technologies, Inc.

Inventor： Patrick L. McGUIRE ,  Ahmad LEMAR ,  Randal B. CHINNOCK ,  Joseph VIRZI ,  Vaibhav GHADIOK

IPC: H04N23/11 ,  B60R11/04 ,  H04N7/18 ,  H04N23/51 ,  H04N23/54 ,  H04N23/56 ,  H04N23/90

CPC classification number: H04N23/11 ,  B60R11/04 ,  H04N7/181 ,  H04N23/51 ,  H04N23/54 ,  H04N23/56 ,  H04N23/90 ,  B60R2011/0026

Abstract: Disclosed herein are systems and apparatus for detecting a traffic violation. In one embodiment, a system for detecting a traffic violation comprises a context camera assembly and a license plate recognition (LPR) camera assembly. The context camera assembly can comprise a context camera housing containing a context camera, a context camera mount configured to mount the context camera housing to an interior of a carrier vehicle, and a context camera skirt coupled to and protruding outwardly from the context camera housing. The license LPR camera assembly can comprise an LPR camera housing containing one or more LPR cameras, an LPR camera mount configured to mount the LPR camera housing to the interior of the carrier vehicle, and one or more LPR camera skirts coupled to and protruding outwardly from the LPR camera housing.

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：US20230290245A9

公开(公告)日：2023-09-14

申请号：US17658295

申请日：2022-04-07

Applicant: Hayden AI Technologies, Inc.

Inventor： Vaibhav GHADIOK ,  Christopher CARSON ,  Bo SHEN

IPC: G08G1/01

CPC classification number: G08G1/01

Abstract: Disclosed herein are systems and methods for managing traffic rules. In one embodiment, a method of managing traffic rules can comprise generating or updating a semantic map layer based in part on positioning data obtained from one or more edge devices and videos captured by the one or more edge devices. The method can also comprise generating or updating a traffic enforcement layer on top of the semantic map layer. A plurality of traffic rules can be saved as part of the traffic enforcement layer. The method can further comprise generating or updating a traffic insight layer based in part on traffic violations or traffic conditions determined by the one or more edge devices or the server. The traffic insight layer can adjust or provide a suggestion to adjust at least one of the traffic rules based on an impact analysis conducted by the traffic insight layer concerning the traffic rule.