SYSTEM AND METHOD FOR ASSET RECOVERY

1 . A computer system for improving the recovery time for a target vehicle, comprising:

an automatic license plate reader (ALPR) system receiving video input from a camera;

a data server in real time communication with the ALPR, storing historical vehicle data corresponding to each of a plurality of vehicle assets;

a computer interface in operative communication with the data server configured to store historical vehicle data relating to the plurality of vehicle assets;

an input processor that receives a data request for a subset of the historical vehicle data, the data request comprising a video image stream of vehicles from the video input in real time from the camera couple with a corresponding geolocation from which the video image stream was captured by the ALPR; and

an output processor operatively coupled to the data server and configured to identify one or more targeted vehicles in the video image stream from the historical vehicle data requested.

2 . The system of claim 1 , wherein the output processor also generates a recoverability index representing likelihoods that a specific vehicle of interest may be recovered.

3 . The system of claim 1 , wherein the data request further includes a manually provided 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 output processor also conducts a spatial analysis of the targeted vehicles from the data request.

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

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

7 . The system of claim 1 , wherein the output processor is further configured to identify patterns of vehicle behavior for 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 . A non-transitory computer readable storage device having stored therein data representing instructions executable by a programmed processor for accelerating the recoverability of an identified vehicle, the storage medium comprising instructions operative for:

receiving and storing historical vehicle data as a plurality of information records, an information record corresponding to each of a plurality of vehicles;

receiving a request for an information record relating to the identified vehicle in real time from a video camera, the request comprising a real time video image of the identified vehicle coupled with a corresponding geolocation of the real time video image when captured; and

predicting a likely future recovery location by performing a geospatial analysis related to the identified vehicle on the plurality of information records in real time.

11 . A computer-implemented method using at least one processor for identifying a targeted vehicle in real time, comprising:

receiving a real time request for historical data relating to a plurality of targeted vehicles, the request comprising video images of the targeted vehicles received from a video camera coupled with a corresponding geolocation of the video images when captured;

processing the request to identify the plurality of targeted vehicles; and

retrieving data records for the plurality of targeted vehicles, the data records identifying the targeted vehicles and one or more geographic recovery locations associated with each of the targeted vehicles.

12 . The method of claim 11 , further comprising identifying a collective pattern of behavior associated with an operation of the targeted vehicles.

13 . The method of claim 12 , further comprising generating a recovery score using a generated recoverability index and based on the identified collective pattern of behavior.

14 . The method of claim 12 , further comprising displaying on a user interface flags on a map, the flags representing one or more geographic locations associated with the plurality of targeted vehicles that are determined from the historical data.