VEHICLE ANOMALY DETECTION AND REPORTING

• US 20150321605A1
• Filed: 05/08/2014
• Published: 11/12/2015
• Est. Priority Date: 05/08/2014
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Mirza, Momin, Muzaffar, Farooq, Gupta, Nisheeth
• Granted Patent: US 9,509,960 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60R 2300/105 using multiple cameras
• CPC Class Codes: B60R 2300/804 for lane monitoring
• CPC Class Codes: B60R 2300/8053 for bad weather conditions or night vision
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

A server device may receive images of a vehicle from one or more camera devices implemented as part of a home monitoring or home control system and identify, based on the images, an anomaly associated with the vehicle. In some implementations, conditions under which the anomaly occurred may also be determined.

Claims

1. A method comprising:

receiving, by a server device, images of a vehicle from one or more camera devices implemented as part of a home monitoring or home control system;

identifying, by a server device, an anomaly associated with the vehicle based on the images;

determining, by the server device, conditions associated with the anomaly; and

storing or outputting, by server device, information identifying the anomaly and the conditions associated with the anomaly.

2. The method of claim 1, wherein identifying the anomaly includes comparing the images with previous images of the vehicle.

3. The method of claim 1, wherein determining the conditions associated with the anomaly includes:

receiving directory information as information relating to at least one of;

weather information,

traffic information,

road hazard reports, or

crime reports; and

correlating the directory information with the anomaly.

4. The method of claim 1, wherein determining the conditions associated with the anomaly includes at least one of:

determining a type of the anomaly,

determining a location on the vehicle associated with the anomaly, or

determining a route associated with the anomaly.

5. The method of claim 1, further comprising:

determining a hazardous route based on identifying that a plurality of anomalies of a plurality of vehicles are associated with the hazardous route; and

storing or outputting information regarding the hazardous route.

6. The method of claim 1, wherein determining the conditions associated with the anomaly includes:

determining the conditions associated with the anomaly based on pixel-based comparison techniques or heat imaging comparison techniques.

7. The method of claim 1, wherein receiving the images from the one or more camera devices is based on instructing the one or more camera devices to output the images to the server device during particular times, or when the one or more camera devices detect a presence of the vehicle.

8. The method of claim 7, wherein instructing the one more camera devices to output the images to the server device during particular times includes determining a period of time in which the vehicle is expected to remain stationary based on information regarding habits associated with an owner of the vehicle.

9. A system comprising:

a server device, comprising;

a non-transitory memory device storing;

a plurality of processor-executable instructions; and

a processor configured to execute the processor-executable instructions, wherein executing the processor-executable instructions causes the processor to;

receive images of a vehicle from one or more camera devices implemented as part of a home monitoring or home control system;

identify an anomaly associated with the vehicle based on the images;

determine conditions associated with the anomaly; and

store or output information identifying the anomaly and the conditions associated with the anomaly.

10. The system of claim 9, wherein executing the processor-executable instructions, to identify the anomaly, causes the processor to compare the images with previous images of the vehicle,

11. The system of claim 9, wherein executing the processor-executable instructions, to determine the conditions associated with the anomaly, causes the processor to:

receive directory information as information relating to at least one of;

weather information,

traffic information,

road hazard reports, or

crime reports; and

correlate the directory information with the anomaly.

12. The system of claim 9, wherein executing the processor-executable instructions, to determine the conditions associated with the anomaly, causes the processor to determine at least one of:

a type of the anomaly,

a location on the vehicle associated with the anomaly, or

a route associated with the anomaly.

13. The system of claim 9, wherein executing the processor-executable instructions further causes the processor to:

determine a hazardous route based on identifying that a plurality of anomalies of a plurality of vehicles are associated with the hazardous route; and

store or output information regarding the hazardous route.

14. The system of claim 9, wherein executing the processor-executable instructions, to determine the conditions associated with the anomaly, causes the processor to determine the conditions associated with the anomaly based on pixel-based comparison techniques or heat imaging comparison techniques.

15. The system of claim 9, wherein executing the processor-executable instructions, to receive the images from the one or more camera devices, causes the processor to receive the images from the one or more camera devices based on instructing the one or more camera devices to output the images to the server device during particular times, or when the one or more camera devices detect a presence of the vehicle.

16. The system of claim 15, wherein executing the processor-executable instructions, to instruct the one more camera devices to output the images to the server device during particular times, further causes the processor to determine a period of time in which the vehicle is expected to remain stationary based on information regarding habits associated with an owner of the vehicle.

17. A method comprising:

receiving, by a server device, activity information relating to habits of an owner of a vehicle;

determining, by the server device, a time period in which the vehicle is expected to be stationary based on the activity information;

outputting, by the server device, an instruction to one or more camera devices to capture images of the vehicle during the time period;

receiving, by the server device and from one or more camera devices implemented as part of a home monitoring or home control system, the images of the vehicle during the time period;

analyzing, by the server device, the images with respect to previous images of the vehicle to detect anomalies associated with the vehicle; and

outputting, by the server device, an indication of the detected anomalies.

18. The method of claim 17, wherein the activity information includes at least one of:

network usage information of the owner, or

content viewing activity information of the owner.

19. The method of claim 17, further comprising:

determining conditions associated with the anomaly; and

storing or outputting information identifying the anomaly and the conditions associated with the anomaly.

20. The method of claim 17, further comprising:

determining a hazardous route based on identifying that a plurality of anomalies of a plurality of vehicles are associated with the hazardous route; and

storing or outputting information regarding the hazardous route.