Interactive vehicle information map

Patent metadata

Field	Value
Publication number	US-11263227-B2
Application number	US-201916370514-A
Country	US
Kind code	B2
Filing date	Mar 29, 2019
Priority date	Nov 4, 2013
Publication date	Mar 1, 2022
Grant date	Mar 1, 2022

Abstract

An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.

First claim

What is claimed is:

1. A non-transitory computer readable storage medium storing computer executable instructions configured for execution by one or more hardware processors of a computer system to cause the computer system to:
receive vehicle search parameters;
identify a plurality of vehicle-related data items satisfying the vehicle search parameters, wherein the vehicle-related data items are associated with license plate numbers;
organize the plurality of vehicle-related data items into a plurality of groups of vehicle-related data items based at least in part on the associated license plate numbers, wherein each group of vehicle-related data items corresponds to a different unique vehicle with an associated unique license plate number;
for each of the different unique vehicles, select a single preferred license plate image from the group of vehicle-related data items associated with that different unique vehicle based at least in part on a preferred time period; and
generate a formatted export of data for display including:
an indication of the vehicle search parameters; and
for each of the different unique vehicles, at least the selected single preferred license plate image.

2. The non-transitory computer readable storage medium of claim 1 , wherein the vehicle search parameters include a particular license plate number and a visual characteristic of a vehicle.

3. The non-transitory computer readable storage medium of claim 1 , wherein the computer executable instructions are configured for execution by the one or more hardware processors to further cause the computer system to:
for each of the unique vehicles, and based on respective vehicle-related data items associated with each of the unique vehicles:
determine an address associated with one or more individuals related to the respective unique vehicle;
identify a vehicle image of the respective unique vehicle; and
identify one or more law enforcement events associated with at least one of: the respective unique vehicle or at least one of the one or more individuals.

4. The non-transitory computer readable storage medium of claim 3 , wherein the formatted export of data further includes:
for each respective unique vehicle:
the address;
the vehicle image; and
the one or more law enforcement events.

5. The non-transitory computer readable storage medium of claim 1 , wherein the formatted export of data further includes:
a chart including an indication of times of day at which vehicle-related data items are commonly obtained.

6. The non-transitory computer readable storage medium of claim 5 , wherein the formatted export of data further includes:
a frequency analysis including indications of frequencies of obtained vehicle-related data items by at least one of day, weekday, or hour.

7. The non-transitory computer readable storage medium of claim 1 , wherein selecting the single preferred license plate image based at least in part on the preferred time period comprises:
selecting a first subset of license plate images having been obtained within the preferred time period;
further selecting, from the first subset of license plate images, a second subset of license plate images having been obtained during a preferred time of day; and
designating, from the second subset of license plate images, the single preferred license plate image.

8. The non-transitory computer readable storage medium of claim 1 , wherein the computer executable instructions are configured for execution by the one or more hardware processors to further cause the computer system to:
periodically:
re-identify a plurality of vehicle-related data items satisfying the vehicle search parameters;
re-generate the formatted export of data; and
transmit the formatted export of data as an alert, wherein the alert includes unique vehicles not previously provided in a previous alert.

9. The non-transitory computer readable storage medium of claim 1 , wherein the computer executable instructions are configured for execution by the one or more hardware processors to further cause the computer system to:
receive, in addition to the vehicle search parameters, at least an indication of a geographic area of interest;
wherein each of the vehicle-related data items is obtained within the indicated geographic area of interest; and
wherein the formatted export of data further includes:
an indication of the indicated geographic area of interest; and
for each of the unique vehicles:
a graphical indication of a location associated with at least one of the vehicle-related data items in the respective corresponding group of vehicle-related data items.

10. A method comprising:
receiving vehicle search parameters;
identifying a plurality of vehicle-related data items satisfying the vehicle search parameters, wherein the vehicle-related data items are associated with license plate numbers;
organizing the plurality of vehicle-related data items into a plurality of groups of vehicle-related data items based at least in part on the associated license plate numbers, wherein each group of vehicle-related data items corresponds to a different unique vehicle with an associated unique license plate number;
for each of the different unique vehicles, selecting a single preferred license plate image from the group of vehicle-related data items associated with that different unique vehicle based at least in part on a preferred time period; and
generating a formatted export of data for display including:
an indication of the vehicle search parameters; and
for each of the different unique vehicles, at least the selected single preferred license plate image.

11. The method of claim 10 , wherein the vehicle search parameters include a particular license plate number and a visual characteristic of a vehicle.

12. The method of claim 10 , further comprising:
for each of the unique vehicles, and based on respective vehicle-related data items associated with each of the unique vehicles:
determining an address associated with one or more individuals related to the respective unique vehicle;
identifying a vehicle image of the respective unique vehicle; and
identifying one or more law enforcement events associated with at least one of: the respective unique vehicle or at least one of the one or more individuals.

13. The method of claim 12 , wherein the formatted export of data further includes:
for each respective unique vehicle:
the address;
the vehicle image; and
the one or more law enforcement events.

14. The method of claim 10 , wherein the formatted export of data further includes:
a chart including an indication of times of day at which vehicle-related data items are commonly obtained.

15. The method of claim 14 , wherein the formatted export of data further includes:
a frequency analysis including indications of frequencies of obtained vehicle-related data items by at least one of day, weekday, or hour.

16. The method of claim 10 , wherein selecting the single preferred license plate image based at least in part on the preferred time period comprises:
selecting a first subset of license plate images having been obtained within the preferred time period;
further selecting, from the first subset of license plate images, a second subset of license plate images having been obtained during a preferred time of day; and
designating, from the second subset of license plate images, the single preferred license plate image.

17. The method of claim 10 , further comprising:
periodically:
re-identifying a plurality of v

Assignees

• Palantir Technologies Inc

Inventors

• Beard Mitchell
• Glazer Michael
• Lim Robin
• Iman Sina
• Basoa Mark
• Huber Tristan
• Ryan Paul
• Moussaoui Youssef
• Mclindon Bonnie
• White Nick
• Vasilyev Alexander
• Lundquist Mark

Classifications

• G06F16/29 Primary

  Geographical information databases · CPC title

• G08G1/205

  Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental · CPC title

• G08G1/0175

  by photographing vehicles, e.g. when violating traffic rules · CPC title

• G06V20/584

  of vehicle lights or traffic lights · CPC title

• G08G1/20

  Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles · CPC title