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US Patent 12112553 Lane violation detection using convolutional neural networks

Patent 12112553 was granted and assigned to Hayden AI Technologies Inc. on October, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Hayden AI Technologies Inc.
Hayden AI Technologies Inc.
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Current Assignee
Hayden AI Technologies Inc.
Hayden AI Technologies Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121125530
Patent Inventor Names
Christopher Carson0
Bo Shen0
Vaibhav Ghadiok0
Date of Patent
October 8, 2024
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Patent Application Number
183147470
Date Filed
May 9, 2023
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Patent Citations
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US Patent 11688182 Lane violation detection using convolutional neural networks
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US Patent 11361558 Apparatus and method for estimating road geomeiry
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US Patent 9070289 System and method for detecting, tracking and estimating the speed of vehicles from a mobile platform
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US Patent 10296794 On-demand artificial intelligence and roadway stewardship system
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US Patent 11003919 Systems and methods for detecting traffic violations using mobile detection devices
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US Patent 11164014 Lane violation detection using convolutional neural networks
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US Patent 11322017 Systems and methods for managing traffic rules using multiple mapping layers with traffic management semantics
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Patent Primary Examiner
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Dhaval V Patel
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CPC Code
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G06V 2201/08
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G06N 3/08
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G06V 10/82
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G06V 10/25
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G06V 20/588
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G06V 10/764
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G06V 20/58
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Patent 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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