Hewlett-packard Development Company, L.p.

Hayden Ai Technologies, Inc.

Lsi Logic Corporation

Pccw Vuclip (singapore) Pte. Ltd.

Vuclip

Vuclip (singapore) Pte. Ltd.

Hewlett-packard Company

Hayden Al Technologies, Inc.

Bo Shen

Vaibhav Ghadiok

Christopher Carson

Sumit Roy

Susie J Wee

Wai-Tian Tan

John George Apostolopoulos

Michele Mae Covell

Mitchell D Trott

Gene Cheung

Mehrban Jam

Sujoy Basu

Prasad Subbarao

Radoslav Ratchkov

Arun Prakash

Thomas Mathews Antisseril

Tina Wong

Nickhil Jakatdar

Rajendra Kumar

Areef Reza

Wai-tan Tan

Zhichen Xu

Michael Harville

Maad A Al-Dabagh

Morgan Kohler

John Ankcorn

Kelly Qian

Hiroshi Ishikawa

Stuart Montagu McKee

Bryan John Shea

Vasudev Bhaskaran

Anwar Ali

Antonio Ortega

Andrew J Patti

Benjamin Mbouombouo

Songqing Chen

Xiaodong Zhang

Charutosh Dixit

Ruben Salvador Molina

Chun Chan

Jacques Michelet

Julie Beatty

Raj Kumar

Qiong J Yu

Francois-Xavier Kowalski

Mai-Hsuan Lu

Vijay Sundaram

Minghui Li

Yaochun Huang

John G Apostolopulos

Jian Ding

Areef Raza

John G c/o Hewlett-Packard Company Apostolopoulos

Susie J c/o Hewlett-Packard Company Wee

Sumit c/o Hewlett-Packard Company Roy

J G c/o Hewlett-Packard Company Apostolopoulos

Sumit c/o Hewlett-Packard Roy

Roy Sumit

Rich Ellison

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.

Lane violation detection using convolutional neural networks

Disclosed herein are systems and methods for alleviating traffic congestion within an enforcement zone. In some embodiments, a system for alleviating traffic congestion within an enforcement zone comprises a server and a plurality of edge devices coupled to carrier vehicles deployed within the enforcement zone. The edge devices can be configured to capture videos of vehicles that may be subject to the traffic congestion pricing policy and to determine their locations, license plate numbers, and certain vehicle attributes using certain sensors on the edge devices and deep learning models running on the edge devices. The edge devices can also be configured to transmit evidence packages to the server concerning such vehicles. The server can be configured to evaluate the evidence packages received from the edge devices and prepare final evidence packages concerning the vehicles for further review and processing.

Systems and methods for enforcing traffic congestion pricing

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.

Systems and methods for automated license plate recognition

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.

Systems and methods for managing traffic rules using multiple mapping layers with traffic management semantics

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.

Methods and systems for trusted management of traffic violation data using a distributed ledger

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.

Systems and methods for detecting traffic violations using mobile detection devices

Disclosed herein are methods and systems that allow users to report traffic violations and obtain information concerning reported violations using mobile devices. In one embodiment, a method comprises receiving, at a server, one or more images or videos captured by a mobile device of an offending vehicle committing a potential traffic violation and an extended metadata tag; storing the one or more images or videos and the extended metadata tag as unstructured content in a content lake; generating database tables on top of the content lake; receiving a request from another mobile device to view traffic violation content; querying the database tables and retrieving at least one of the one or more images or videos of the offending vehicle committing the potential traffic violation from the content lake; and generating a GUI to be displayed via the other mobile device showing the traffic violation content.

Systems and methods for user reporting of traffic violations using a mobile application

Disclosed are systems and methods for detecting traffic violations using mobile detection devices. Videos captured by the 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 final determination as to whether a traffic violation has occurred by comparing the data and information received from at least two mobile detection devices. The server can also construct semantic annotated maps using data and information received from the mobile detection devices. Updated versions of the semantic annotated maps can be transmitted back to the mobile detection devices to aid in traffic violation detection.

A media content distribution service identifies a type of media device sending a request to the service over a network and to dynamically adapt content requested by the media device based on the identification. A request sent by a media device may, for example, identify a media content item a user desires to view at the media device, specify a search query for media content items, or otherwise request interaction with the service. According an embodiment, a media content distribution service may use information known about an identified media device type to dynamically adapt media content or other requested resources for display by the media device. By dynamically adapting media content and other resources based on an identified media device type, the media content distribution service may provide access to the services that is compatible with a wide range of media devices having varying device specifications and capabilities.

Media device knowledge base

Growing community of inventors

Fremont, CA, United States of America

Bo Shen