Crime Risk Assessment System

• US 20110261067A1
• Filed: 04/28/2011
• Published: 10/27/2011
• Est. Priority Date: 10/23/2009
• Status: Active Grant

• Current Assignee: Dominic Trinko, Thomas Trinko
• Original Assignee: Dominic Trinko, Thomas Trinko
• Inventors: Trinko, Thomas, Trinko, Dominic
• Granted Patent: US 8,515,673 B2
• Time in Patent Office: Days
• US Class Current: 345/589
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence

Abstract

A method of providing crime risk data in the absence or partial absence of officially reported data uses a scoring system based on images of locations within particular regions where crime data is to be assessed. The collected crime data may be normalized to actual crime data were both exist to calibrate the proxy crime data derived from the images.

Claims

1. A method of deriving crime data for different regions comprising the steps of:

(a) collecting image data of the regions;

(b) scoring the image data according to proxies for crime risk; and

(c) presenting a map of the regions on a graphic display terminal having multiple shaded zones depicting crime risk based on the scoring for each region.

2. The method of claim 1 further including the steps of:

collecting reported crime data by law enforcement officials for at least some regions;

comparing scores of the image data for the regions to the collected crime data for the regions to derive normalization information;

applying the normalization information to the scores for regions where reported data by law enforcement officials law enforcement officials has not been collected to provide uniform crime data for the different regions.

3. The method of claim 1 wherein the scoring of image data evaluates factors selected from the group of visibility of trash, visibility of graffiti, visibility of window bars.

4. The method of claim 1 wherein the scoring of image data evaluates factors selected from the group of visibility of late model cars, quality of a road surface, business types, number of residences visible.

5. The method of claim 1 wherein a spacing within the regions of a collection of image data of the region is adjusted according to the scoring of a region.

6. The method of claim 1 wherein the scoring is performed by individuals viewing the images.

7. The method of claim 6 wherein the images are presented to the individuals as a panorama of greater than 180°

.

8. The method of claim 1 wherein the scoring includes a marking of images of the image data by the user viewing the images to highlight components of the scoring.

9. The method of claim 1 wherein the image data is obtained from Google Street view.

10. A navigation system comprising:

a graphics display;

an electronic memory storing;

(i) a street map; and

(ii) crime data linked to locations;

a computer executing a stored program and communicating with the graphics display, and the electronic memory to;

(i) generate a display of a street map having different locations;

(ii) generate an overlay to the street map depicting the crime data different locations;

(iii) generate an indication of whether the overlay is generated from officially collected crime data or from a proxy for crime data.

11. The navigation system of claim 10 wherein the computer further executes the stored program to provide an image of at least one of the locations used as a proxy for crime data.

12. The navigation system claim 11 wherein the image includes indicia marking elements of the image indicative of crime risk.

13. The navigation system of claim 10 wherein the street map identifies limited access highways and wherein the overlay is shading and the shading is excluded in a predetermined distance from limited access highways.

14. A navigation system comprising:

a graphics display;

an electronic memory storing;

(i) a street map; and

(ii) crime data linked to locations;

a computer executing a stored program and communicating with the graphics display, and the electronic memory to;

(i) generate a dynamic display of a street map of different locations;

(ii) generate an overlay to the street map depicting the crime data different locations;

(iii) display an image of at least one location representative the locations and depicting image components providing a basis for the crime data.