SYSTEM AND METHOD FOR RANKING ASSET DATA PROBABILITY OF RECOVERY

• US 20140201213A1
• Filed: 03/14/2014
• Published: 07/17/2014
• Est. Priority Date: 11/03/2010
• Status: Abandoned Application

• Current Assignee: Endeavoring, LLC
• Original Assignee: Endeavoring, LLC
• Inventors: Jackson, Scott A., Smith, Luke
• Application Number:
  US14/213,327
• Publication Number:
  US 20140201213A1
• Time in Patent Office: Days
• US Class Current: 707/741
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06V 10/768 using context analysis, e.g. recognition aided by known co-occurring patterns
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: G08G 1/0175 by photographing vehicles, e.g. when violating traffic rules
• CPC Class Codes: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental

Abstract

A system for determining the probability of recovering an asset is provided. The system includes a data server that receives data corresponding to a plurality of vehicles from a plurality of client sources. A database in operative communication with the data server and stores the received data as information records corresponding to each of the plurality of vehicles. A user interface is in operative communication with the data server and receives a request for historical vehicle data relating to a plurality of vehicle assets. An output processor operatively coupled to the data server and generates recoverability indices for the plurality of vehicle assets.

Claims

1. A system for ranking asset data probability of recovery, comprising:

a data server configured to receive data corresponding to a plurality of vehicles from a plurality of client sources;

a database in operative communication with the data server and configured to store the received data as information records corresponding to each of the plurality of vehicles;

a user interface in operative communication with the data server and configured to receive a request for historical vehicle data relating to a plurality of vehicle assets; and

an output processor operatively coupled to the data server and configured to generate recoverability indices for the plurality of vehicle assets.

2. The system of claim 1, wherein the recoverability indices represent likelihoods that the vehicle assets may be recovered.

3. The system of claim 1, wherein the request for historical vehicle data includes a vehicle identification number (VIN), a license plate number, a photographic image of a license plate number, or a video stream containing images of a license plate number.

4. The system of claim 1, wherein the received data identifies a vehicle and includes a recency of the data, a time of day the data was generated, a geographic location associated with the data, or a classification of the identified vehicle.

5. The system of claim 1, wherein the user interface is coupled to an input processor that is configured to receive and process the request for historical vehicle data.

6. The system of claim 5, wherein the input processor is further configured to process the request for historical vehicle data to identify a plurality of targeted vehicle assets and a plurality of parameters for generating the recoverability indices for the targeted vehicle assets.

7. The system of claim 1, wherein the output processor is further configured to identify patterns of vehicle behavior the plurality of vehicle assets.

8. The system of claim 7, wherein the recoverability indices are generated based on the identified patterns of vehicle behavior.

9. The system of claim 7, wherein the identifying a pattern of vehicle behavior includes identifying a frequently visited residential or commercial location, a frequently travelled route, or a propensity to be located near another vehicle asset.

10. The system of claim 1, wherein the request for historical vehicle data includes a portfolio of assets containing a plurality of vehicle assets.

11. A non-transitory computer readable storage medium having stored therein data representing instructions executable by a programmed processor for ranking asset data probability of recovery, the storage medium comprising instructions operative for:

receiving data corresponding to a plurality of vehicle from a plurality of client sources;

storing the received data as information records corresponding to each of a plurality of vehicles;

receiving a request for historical vehicle data relating to a plurality of targeted vehicle assets;

generating a recoverability score for the plurality of targeted vehicle assets; and

outputting an index representing a likelihood that the plurality of targeted vehicle assets may be recovered.

12. The storage medium of claim 11, further comprising instructions operative for identifying patterns of vehicle behavior for one or more vehicles in the plurality of targeted vehicle assets.

13. The storage medium of claim 12, wherein the outputted index is calculated using the identified patterns of vehicle behavior.

14. The storage medium of claim 11, further comprising instructions operative for receiving a plurality of parameters for generating the index.

15. The storage medium of claim 14, wherein the index is generated based on the received plurality of parameters and the generated recoverability score.

16. The storage medium of claim 11, wherein the request for historical vehicle data includes a portfolio of assets containing a plurality of vehicle assets.

17. A computer-implemented method using at least one processor for ranking asset data probability of recovery, comprising:

receiving a request for historical data relating to a plurality of vehicle assets;

processing the request to identify a plurality of targeted vehicles;

retrieving data records for the plurality of targeted vehicles, the data records identifying a vehicle and one or more geographic locations associated with the vehicle; and

processing the data records to generate a recoverability index representing the likelihood of recovering the vehicle.

18. The method of claim 17, further comprising identifying a pattern of behavior associated with an operation of the targeted vehicles.

19. The method of claim 18, further comprising generating a recovery score using the generated recoverability index and based on the identified pattern of behavior.

20. The method of claim 17, further comprising displaying the processed data records on a user interface as flags on a map of the one or more geographic locations associated with the vehicle.