Katherine M Johnson, 46Littleton, CO

6778714, Aug 17, 2004

Mar 10, 2000

09/523353

Yair Kipman - Waban MA
David Wolin - Arlington MA
Katherine Johnson - Nashua NH

ImageXpert, Inc. - Nashua NH

G06K 920

382313, 382312, 358473

A portable image analysis system including a hand held head assembly with an imaging window in the bottom of a housing, at least one light source in the housing directed at the imaging window, and an imaging device in the housing optically coupled to the imaging window. A computer, coupled to the hand held head assembly includes an imaging quality analysis program and a monitor for displaying images in the imaging window of the housing captured by the imaging device of the hand held head assembly for performing in situ image quality measurements.

2021030, Sep 30, 2021

Mar 30, 2020

16/834567

- San Francisco CA, US
James Nicholas De Angelis - San Francisco CA, US
Katherine Anne Johnson - San Francisco CA, US
Aditya Ganesh Kamath - Mountain View CA, US
Matthew James Vere Nicoll - Pleasanton CA, US
Christy Maria Ortins - San Leandro CA, US
Londa Fiorella Overbeck - San Francisco CA, US
Taylor Lee Putnam - Oakland CA, US
Limin Shen - San Francisco CA, US
Laerte Meneghette Zatta - Tracy CA, US

G06Q 10/00
G06Q 10/10
G06K 9/00

This disclosure covers computer-implemented methods, non-transitory computer readable media, and systems that improve efficiency, accuracy, and flexibility in servicing provider vehicles associated with a transportation matching system. For example, the disclosed systems can match transportation provider vehicles to vehicle services at one or more multi-track vehicle service centers, guide provider vehicles through various tracks and services, and generate user interfaces for accurately and efficiently notifying provider devices and technician devices as vehicles progress through the multi-track vehicle service centers.

2020034, Oct 29, 2020

Dec 26, 2019

16/727715

- San Francisco CA, US
Katherine Anne Johnson - San Francisco CA, US
Luke George Greenwood - San Francisco CA, US
Daren Allen Pierse - San Francisco CA, US
Christopher Leigh Buller - San Jose CA, US
John Gregory Sweigart - Garnet Valley PA, US
Stephen Calvillo - San Francisco CA, US
John Christopher Houston - Superior CO, US
Evan Scott Madow - San Francisco CA, US
Elad Ossadon - San Francisco CA, US

G06Q 10/00
G06Q 10/06
G07C 5/00
G06Q 50/30

The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

2020034, Oct 29, 2020

Dec 26, 2019

16/727773

- San Francisco CA, US
Katherine Anne Johnson - San Francisco CA, US
Luke George Greenwood - San Francisco CA, US
Daren Allen Pierse - San Francisco CA, US
Christopher Leigh Buller - San Jose CA, US
John Gregory Sweigart - Garnet Valley PA, US
Stephen Calvillo - San Francisco CA, US
John Christopher Houston - Superior CO, US
Evan Scott Madow - San Francisco CA, US
Elad Ossadon - San Francisco CA, US

G06Q 10/00
G06Q 10/06

The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently and dynamically managing a vehicle service center. For example, a vehicle service system analyzes information associated with vehicles scheduled for service at a vehicle service center comprising a set of sequential stations. Based on the analyzed information, the vehicle service system can determine an allocation of tasks and an allocation of resources for each station. In turn, the disclosed systems can customize, for display on display devices within the vehicle service center, task allocation user interfaces in accordance with a task allocation. Further, the vehicle service system can monitor a completion progress for the task allocation and, based on the completion progress, generate an adjusted task allocation for the given stage of progression. The vehicle service system can then update the task allocation user interfaces based on the adjusted task allocation for the given stage of progression.