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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.
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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.
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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.
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4.发明公开公开(公告)号：US20230260397A1
公开(公告)日：2023-08-17
申请号：US18176648
申请日：2023-03-01
Applicant: Hayden AI Technologies, Inc.
Inventor： Bo SHEN , Bryan John SHEA , Stuart Montagu MCKEE
CPC classification number: G08G1/0175 , H04L9/3236 , G06V10/82 , H04L9/50 , G06V20/625 , G06F21/6254 , G06Q2220/00 , G06V2201/08 , G06V2201/07
Abstract: Disclosed herein are methods and systems for managing traffic violation or enforcement data using a distributed ledger. The distributed ledger provides a transparent chain of custody/evidence related to all digital interactions with traffic violation or enforcement data. The distributed ledger can be audited for data accuracy and integrity by nodes making up the system each time one of the nodes interacts with the traffic violation or enforcement data. For example, a digital evidence package related to a traffic violation event can be generated by a node within the system and a package digest can be logged in the distributed ledger beginning with the creation of the digital evidence package and each time that the digital evidence package is processed, modified, or reviewed by nodes within the system.
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公开(公告)号：US20250078538A1
公开(公告)日：2025-03-06
申请号：US18418670
申请日：2024-01-22
Applicant: Hayden AI Technologies, Inc.
Inventor： Morgan KOHLER , Bo SHEN
Abstract: Disclosed herein are methods, systems, and apparatus for automated license plate recognition and methods for training a machine learning model to undertake automated license plate recognition. For example, a method can comprise dividing an image or video frame comprising a license plate into a plurality of image patches, determining a positional vector for each of the image patches, adding the positional vector to each of the image patches and inputting the image patches and their associated positional vectors to a text-adapted vision transformer. The text-adapted vision transformer can be configured to output a prediction concerning the license plate number of the license plate.
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Patent Agency Ranking
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.
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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
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.
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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
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.
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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
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.
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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
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.
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