AN IMPROVED METHOD OF DATA VISUALIZATION AND DATA SORTING

• US 20160224846A1
• Filed: 09/09/2014
• Published: 08/04/2016
• Est. Priority Date: 09/09/2013
• Status: Active Grant

• Current Assignee: New BIS Safe Luxco S.A R.L
• Original Assignee: New BIS Safe Luxco S.A R.L
• Inventors: Cardno, Andrew John
• Granted Patent: US 10,061,991 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 50/00 Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism healthcare informatics G16H
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30252 Vehicle exterior; Vicinity of vehicle
• CPC Class Codes: G06T 7/77 using statistical methods
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: H04N 23/90 Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums

Abstract

A method of displaying data in a data visualization computing system is described. Various methods of displaying the data are described including using a timeline, the data being aggregated based on time periods wherein the timeline consists of a plurality of time period sizes, the current selected time period covering the smallest time period, the period furthest on the timeline from the current selected period covering the largest time period, the timeline consisting of at least one time period of each time period size. Also described are improved methods of data selection and display.

Claims

1-11. -11. (canceled)

12. In a data visualization computing system, implemented on an electronic computing device, a computer implemented method of displaying the predicted paths of a vehicle, the method consisting of the steps of:

identifying the vehicle;

identifying the current location and direction of the vehicle;

identifying the likely destinations of the vehicle using historical data on the destinations the vehicle went when previously at the current location, when traveling in the current direction; and

displaying the predicted vehicle paths to the likely destinations as a sankey diagram overlayed on a map, wherein the width of each Sankey path is reflective of the probability that a particular path will be followed.

13. The method of claim 12 wherein the vehicle is a speeding vehicle and the vehicle is identified by the vehicle licence plate.

14. The method of claim 12 wherein the vehicle location and direction are identified based on a plurality of camera images, from a plurality of cameras at known camera locations.

15. The method of claim 14 wherein the historical data on a vehicle is based on information stored on the vehicle in a database, the database data being a plurality of camera images, from a plurality of cameras at known camera locations.

18. The method of claim 15 including the step of updating the predicted vehicle paths in response to identifying a new current location and direction of the vehicle.

19. The method of claim 18 wherein the step of identifying the likely destinations of the vehicle includes using time information and wherein the probability of a particular path includes a weighting based on the time information.

20. The method of claim 19 wherein the time information used includes time of day, day of the week and season information.

21. The method of claim 12 wherein the method of displaying the predicted paths of a vehicle includes predicting whether or not a vehicle is being followed, wherein predicting whether or not a vehicle is being followed comprising the steps of:

receiving a request to identify if a vehicle is being followed;

identifying the vehicles following the vehicle requesting the information;

identifying the vehicles that are following that are outside their normal travel path;

identifying the owners of the following vehicles that are outside their normal travel path;

selecting vehicles that are potentially following based on the vehicle owner; and

reporting the information on the vehicle and the vehicle owner of the potentially following vehicles.

22. The method of claim 21 wherein the vehicles that are following are identified by the vehicle licence plate.

23. The method of claim 22 wherein the vehicles that are following are identified based on a plurality of camera images, from a plurality of cameras at known camera locations.

24. The method of claim 23 wherein the normal travel path of a vehicle is obtained from the historical data on the vehicle and is based on information stored on the vehicle in a database, the database data being a plurality of camera images, from a plurality of cameras at known camera locations.

25. The method of claim 24 wherein the step of identifying the normal travel path includes using time information.

26. The method of claim 25 wherein the time information used includes time of day, day of the week and season information.

42. The method of claim 20 wherein the method of displaying the predicted paths of a vehicle includes predicting whether or not a vehicle is being followed, wherein predicting whether or not a vehicle is being followed comprising the steps of:

receiving a request to identify if a vehicle is being followed;

identifying the vehicles following the vehicle requesting the information;

identifying the vehicles that are following that are outside their normal travel path;

identifying the owners of the following vehicles that are outside their normal travel path;

selecting vehicles that are potentially following based on the vehicle owner; and

reporting the information on the vehicle and the vehicle owner of the potentially following vehicles.

43. The method of claim 42 wherein the vehicles that are following are identified by the vehicle licence plate.

44. The method of claim 43 wherein the vehicles that are following are identified based on a plurality of camera images, from a plurality of cameras at known camera locations.

45. The method of claim 44 wherein the normal travel path of a vehicle is obtained from the historical data on the vehicle and is based on information stored on the vehicle in a database, the database data being a plurality of camera images, from a plurality of cameras at known camera locations.

46. The method of claim 45 wherein the step of identifying the normal travel path includes using time information.

47. The method of claim 46 wherein the time information used includes time of day, day of the week and season information.

16-17. -17. (canceled)

27-41. -41. (canceled)