System and Method for Mobile Identification of Real Property by Geospatial Analysis

• US 20130328931A1
• Filed: 06/07/2013
• Published: 12/12/2013
• Est. Priority Date: 06/07/2012
• Status: Abandoned Application

• Current Assignee: Guy Wolcott, Louis Mintzer Jr, Tariq Seifuddin
• Original Assignee: Louis Mintzer Jr
• Inventors: Wolcott, Guy, Mintzer, Louis Jr., Seifuddin, Tariq
• Application Number:
  US13/912,775
• Publication Number:
  US 20130328931A1
• Time in Patent Office: Days
• US Class Current: 345/633
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/16 Real estate
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text

Abstract

A system and method of identifying real property based on real time sensor collected geospatial data regarding the location, orientation and field of view of a camera enabled mobile computing device by a mobile device and collecting and returning information related to the identified real property. A mobile device user takes a picture of a property (i.e. home, building, structure etc.) at which time the client software captures the device'"'"'s location and orientation-related sensor data before, during and after the picture is taken, and sends this data and the picture to the servers. The servers examine this data and use it to construct a database query of potential property matches, and the criteria by which those potential matches will be scored. The servers then score each candidate property against the criteria, and return the best match or matches to the client device, including additional information about each property. The client renders this information for the user, records passive or active user feedback about the accuracy of the match and information, and sends that feedback back to the server.

Claims

1. A computer implemented method of selecting from a database containing the location of a plurality of real properties a best match real property based on at least one of location data and sensor data received from a mobile computing device having a camera and a fixed position, comprising the steps of

receiving from said mobile computing device via a communications network at least one of said location data and said sensor data,

determining a location of said fixed position of said mobile computing device based on at least one of said location data and said sensor data and further determining a level of accuracy of said location determination, said level of accuracy expressed in terms of a distance,

determining a heading in which said camera is pointing based on at least one of said location data and said sensor data,

selecting a starting point by moving backward along said heading a distance equal to said level of accuracy,

designating an area comprising a circular sector centered at said starting point, having a radius and a central angle, said central angle centered on said heading,

selecting as candidate properties, from said property database, all properties within said area,

calculating an angle between said heading and a line drawn between said starting point and each said candidate property,

assigning a first score to each candidate property based on said calculated angle, said first score being at least one component of a composite score of each candidate property, and

selecting as a best match the candidate property having the best composite score.

2. The method of claim 1, wherein said step of determining a location of said fixed position further comprises determining a latitude and a longitude of said fixed position.

3. The method of claim 1, wherein said mobile computing device includes a GPS receiver and wherein said location data is determined by said GPS receiver.

4. The method of claim 1, wherein said step of determining a location of said fixed position further comprises triangulation of said fixed position relative to a plurality of transceivers of said a communications network.

5. The method of claim 1, wherein said step of designating an area further comprises varying said central angle inversely proportionally to a confidence level in said determined heading, wherein a greater confidence in said determined heading correlates to a smaller central angle.

6. The method of claim 1, wherein said step of designating an area further comprises varying said central angle inversely proportionally to a property density in the vicinity of said location of said fixed position wherein a greater property density correlates to a smaller central angle.

7. The method of claim 1, wherein said step of designating an area further comprises varying said radius is inversely proportionally to a property density in the vicinity of said location of said fixed position wherein a greater property density correlates to a smaller radius.

8. The method of claim 1, wherein said step of determining a level of accuracy of said location determination further comprises calculating said distance according to one selected from the group consisting of Circular Error Probability, R95 and 2DRMS.

9. The method of claim 1, wherein said step of receiving from said mobile computing device further comprises receiving at least one of a magnetometer reading, an accelerometer reading, a gyroscope reading and a camera image.

10. The method of claim 1, further comprising the steps of

calculating a distance between each said candidate property and said fixed position of said mobile computing device, and

assigning a second score to each candidate property based on said calculated distance, said second score being at least one component of said composite score.

11. The method of claim 10, wherein said first score is weighted relative to and combined with said second score to obtain said composite score, said first score being weighted relatively higher when a confidence level in the accuracy of said heading is higher.

12. The method of claim 1, further comprising the steps of identifying a road on which said fixed position is located, and increasing the composite score of each candidate property having an address on said road.

13. The method of claim 1, further comprising the steps of

normalizing a position of a plurality of proximally located properties into a block line segment though said plurality of proximally located candidate properties and storing block line segment in said database,

if at least one of said candidate properties is among said proximally located properties, drawing a vector line between said starting point and each said candidate property,

determining an angle formed between each said vector line and said block line segment, and

increasing the composite score of each candidate property proportionally to the difference between said angle and 90 degrees.

14. The method of claim 1, wherein said location of each of said plurality of real properties contained in said database is a polygon representing the boundary of each said real property,

wherein said step of selecting candidate properties from said property database comprises selecting all properties whose polygon intersects said circular sector, and

wherein said step of calculating an angle between said heading and a line drawn between said starting point and each said candidate property comprises calculating an angle between said heading and a line drawn between said starting point and a point on said polygon closest to said starting point.

15. The method of claim 14, further comprising the steps of

calculating a distance between said fixed position of said mobile computing device and the closest point on said polygon of each said candidate property, and

assigning a second score to each candidate property based on said calculated distance, said second score being at least one component of said composite score.

16. The method of claim 1, wherein the location of said plurality of real properties contained in said database is point defined by a latitude and a longitude.

17. The method of claim 1, wherein the location of said plurality of real properties contained in said database is a latitude and a longitude of a structure located on each said real property.

18. The method of claim 1, further comprising the steps of

receiving from said mobile computing device an image captured by said camera,

comparing said captured image with a reference image of each candidate property stored in said property database, and

assigning a second score to each candidate property based on a similarity between said captured image and said reference image, said second score being at least one component of said composite score.

19. A method of providing data relating to a piece of real property sensed by a mobile computing device having a digital processor, a video display, a camera, a GPS location identification system, a wireless connection to a data network, and at least one of a magnetometer, a three-dimensional accelerometer and a gyroscope, said method the steps of:

providing a central data server in communication with said mobile computing device via said data network, said central data server having a database of real property information,

providing an instruction set for execution by said digital processor of said mobile computing device,

tracking, according to said executed instruction set, location data of said mobile computing device from said GPS location identification system, movement data from said magnetometer, accelerometer and gyroscope, and orientation data,

simultaneously with the taking of an image of a property of interest by said camera, capturing a final state of said location data, movement data and orientation data;

transmitting, according to said executed instruction set, said image and said location data, movement data and orientation data to said central data server via sad wireless connection to said data network,

querying said database by said central data server and retrieving data relating to at least one candidate properties based having a location within a predetermined proximity to said location data of said mobile computing device,

ranking, by said central data server, the one or more candidate properties according to order in which said candidate property location matches the location data of said mobile computing device.

returning to said mobile computing device via said a wireless connection to a data network said retrieved data on said one or more potential matching properties for which the location information is a best match for display via said video display by set instruction executed by said digital processor.

20. The method of claim 19 further comprising the step of determining by said central data serve, a direction in which said camera was pointed when said image was captured and wherein said predetermined proximity is an area located in said direction in which said camera was pointed relative to said location data of said mobile computing device.

21. A system for identifying data relating to a piece of real property sensed by a mobile computing device having a digital processor, a memory, a video display, a camera, a GPS location identification system, a wireless connection to a data network, and at least one of a magnetometer, a three-dimensional accelerometer and a gyroscope, said system comprising:

a first instruction set for storage in said memory of said mobile computing device which configures the digital processor of said mobile computing device to transmit via said data network at least one of data identifying a location of said mobile computing device and data collected from one or more of said GPS system, camera, magnetometer, accelerometer and gyroscope;

a computer server comprising at least one computer processor and at least one memory having a second instruction set which configures the at least one computer processor to;

receive said data transmitted from mobile computing device;

identify from said received data a location of said mobile computing device and a heading in which said camera of said mobile computing device is pointed;

access real property data from a database wherein said real property data includes a location of a plurality of defined real properties;

select from said database as candidate properties all defined real properties within a predefined proximity to said location of said mobile computing device,

score each candidate property based on an angle formed between said heading in which said camera of said mobile computing device is pointed and a line drawn between said location of said mobile computing device and said each candidate property;

select as a best match property at least one candidate property having the best score; and

transmit via said data network to said mobile computing device for display on said video display said real property data from said database relating to said best match.

22. The system of claim 21 wherein when said the digital processor of said mobile computing device is configured to transmit both data identifying a location of said mobile computing device and data collected from one or more of said GPS system, camera, magnetometer, accelerometer and gyroscope, said second instruction set configures the at least one computer processor of said server to further

determine an accuracy of said of data identifying a location of said mobile computing device and of said data collected from one or more of said GPS system, camera, magnetometer, accelerometer and gyroscope;

and

modify said predefined proximity based on the determined accuracy of said received data.

23. The system of claim 21 wherein said predefined proximity is an area in the shape of a sector of a circle centered at said identified location of said mobile computing device and having a predefined buffer angle centered on said identified heading in which said camera of said mobile computing device is pointed.

24. The system of claim 23 wherein said second instruction set configures the at least one computer processor of said server to further

determine an accuracy of said of data identifying a location of said mobile computing device and of said data collected from one or more of said GPS system, camera, magnetometer, accelerometer and gyroscope;

and

modify said predefined buffer angle based on the determined accuracy of said received data.

25. The system of claim 21 wherein said first instruction set further configures the digital processor of said mobile computing device to transmit an accuracy of said transmitted data.