Interactive vehicle information map
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.
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 vehicle-related data items satisfying the vehicle search parameters;
re-generating the formatted export of data; and
transmitting the formatted export of data as an alert, wherein the alert includes unique vehicles not previously provided in a previous alert.
18. The method of claim 10 , further comprising:
receiving, 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.
19. A computer system comprising:
one or more hardware processors configured 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.