Automated Tool for Property Assessment, Prospecting, and Targeted Marketing

• US 20150186953A1
• Filed: 09/26/2014
• Published: 07/02/2015
• Est. Priority Date: 09/27/2013
• Status: Abandoned Application

• Current Assignee: Real Data Guru, Inc.
• Original Assignee: John Nicholas and Kristin Gross Trust U/A/D April 13 2010
• Inventors: Gross, John Nicholas
• Application Number:
  US14/499,057
• Publication Number:
  US 20150186953A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0276 Advertisement creation
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers
• CPC Class Codes: G06Q 50/16 Real estate
• CPC Class Codes: G06T 1/0007 Image acquisition
• CPC Class Codes: G06T 2207/10004 Still image; Photographic image
• CPC Class Codes: G06T 2207/30132 Masonry; Concrete
• CPC Class Codes: G06T 2207/30161 Wood; Lumber
• CPC Class Codes: G06T 2207/30184 Infrastructure
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 7/0004 Industrial image inspection
• CPC Class Codes: G06T 7/0008 checking presence/absence
• CPC Class Codes: G06V 20/176 Urban or other man-made structures
• CPC Class Codes: G06V 2201/07 Target detection

Abstract

An advertising delivery assessment system uses building structure attributes from image data and rates identified features and associated conditions so that vendors can target appropriate products and services. The outputs can include customized, personalized advertising and marketing directed to particular structures, owners, etc.

Claims

1. A method of targeting advertisements based on features of building structures with a computing system comprising:

a. providing a first reference file containing first image data for an outside portion of a first target building structure ;

b. generating a second reference file using the computing system, said first reference file and a coding interface, said second reference file containing;

i. a plurality of individual building elements identified in said first target building structure based on said first image data;

ii. a condition associated with each of said plurality of individual building elements identified from said first image data;

iii. wherein said first and second reference files are processed to generate a first target structure characterization profile that identifies at least a set of structure features and conditions for said first target building structure;

.

c. processing first vendor advertising content with the computing system identifying at least a first product/service provided by a first vendor;

d. correlating said first advertising content to said first target structure characterization profile with the computing system, such that at least one product/service from said first vendor is matched to said first target building structure based on said first target structure characterization profile;

e. generating a first advertisement targeted to said first target building structure based on step (d), which first advertisement contains personalized advertising consisting of a combination of at least some of said first image data, said first target structure characterization profile and said first advertising content.

2. The method of claim 1 wherein said detected individual building elements, associated conditions and first rating are stored in a database of properties.

3. The method of claim 1 wherein a database of building elements and attributes is compiled and consulted during step (b).

4. The method of claim 1 wherein a size and extent of a condition or impairment for a feature is also stored as part of said first target structure characterization profile.

5. The method of claim 1 further including a step:

generating a visual output containing preliminary annotation data for said first image data identifying automatically identified individual building elements and associated conditions for said first building structure generated by an image processing system.

6. The method of claim 1 further including a step:

detecting and classifying other objects in said first image data, including one or more of a vehicle, an living organism, person, or other personal property item.

7. The method of claim 1 further including a step:

detecting and classifying other objects in said first image data, including one or more of trash, debris or other item correlated with an occupancy of such building structure.

8. The method of claim 1 further including a step:

detecting and classifying an architectural type of said first building structure.

9. The method of claim 1 further including a step:

processing a query to generate a search report identifying other building structures similar to said target building structure, including structures matching said first target structure characterization profile for one or more specific features.

10. The method of claim 1 further including a step:

performing an online verification test for a first user requesting designation as an owner of said first target building structure, which verification test includes measuring a first location of a device associated with such first user.

11. The method of claim 10 wherein said first location is measured at different time intervals to confirm a presence of said first user at said first target building structure.

12. The method of claim 10 wherein said first location is measured by directing said first user to different locations proximate to said first target building structure and obtaining different location signals from said first user at said different locations.

13. The method of claim 12 wherein at least one location is inside said first target building structure, and at least another location is outside said first target building structure.

14. The method of claim 1 wherein the computing system automatically processes a plurality of building structures across an entire block, zip code and/or city.

15. The method of claim 14 wherein the computing system automatically creates logical geographic proximate groups of building structures having common building elements and conditions in a designated area.

16. The method of claim 15 wherein said logical groupings and said designated area can be varied.

17. The method of claim 15 wherein common advertising is communicated to said logical geographic proximate groups with group discounts in hard copy or electronic form.

18. The method of claim 1 wherein said second reference file is created within the coding interface by a human using an electronic annotation tool that tags said individual building elements including a type identifier and a condition identifier.

19. The method of claim 18 wherein said second reference file is created in multiple phases including a first phase in which only impairments are tagged.

20. The method of claim 1 wherein said personalized advertising includes a visual image of said first target building structure annotated to identify said at least one product/service and said corresponding building elements.

21. The method of claim 20 further including a step:

generating a simulated remediation of said first target building structure in visual form, and presenting said visual form in a printed or electronic advertisement.

22. The method of claim 20 further including a step:

generating a physical mailer or electronic mail wrapper containing address data for an owner of such structure, and image data corresponding to said first target building structure.

23. The method of claim 1 further including a step:

providing an electronic query engine which generates a report set of result building structures matching a formatted query directed to said individual building elements, types and/or associated conditions.

24. The method of claim 23 wherein said report set includes only partial address or image data for said set of result building structures.

25. The method of claim 1 further including a step:

providing an electronic query engine which generates a report set of result building structures matching a formatted query directed to products or services corresponding to said individual building elements, types and/or associated conditions.

26. The method of claim 25 wherein said query engine uses an electronic classifier customized for a vendor generating said query which is based on products or services calculated by a computing system as corresponding to said individual building elements, types and/or associated conditions.

27. The method of claim 1 further including a step:

monitoring engagements and redemptions of recipients of said first advertisement with the computing system.

28. The method of claim 1 wherein additional second advertising content for a second vendor is included in said first advertisement, which second advertising content is directed to a second product/service matched to features of said first target structure characterization profile other than those matched by said first advertising content.

29. A method of targeting advertisements based on features of building structures with a computing system comprising:

a. providing a first reference file containing first image data for an exterior of a first target building structure;

b. repeating step (a) for a first set of target building structures in a first target area;

c. generating a second reference file using the computing system, and said first reference file, said second reference file containing;

i. a plurality of individual building elements identified in said first set of target building structures in said first target area based on said first image data;

ii. a condition associated with each of said plurality of individual building elements identified from said first image data;

iii. wherein said first and second reference files are processed to generate a set of first target structure characterization profiles that identifies at least a set of structure features and conditions for each of said first set of target building structures;

d. generating at least a first target subset of target building structures in said first target area, which first target subset is determined to be those structures related through a common feature and associated common condition;

e. generating a first advertisement targeted to said first target subset based on step (d), which first advertisement contains personalized advertising consisting of a combination of at least some of said first image data, said first target structure characterization profile and first advertising content.