Alerting system for automatically detecting, categorizing, and locating animals using computer aided image comparisons

• US 10,004,221 B2
• Filed: 07/31/2017
• Issued: 06/26/2018
• Est. Priority Date: 07/23/2014
• Status: Active Grant

• Current Assignee: Metecs LLC
• Original Assignee: Metecs LLC
• Inventors: Huffman, Robert Kenneth, Jordan, Daniel David, Zalkin, Chadwick Jason
• Primary Examiner(s): Harandi, Siamak
• Application Number:
  US15/664,616
• Publication Number:
  US 20180014527A1
• Time in Patent Office: 330 Days
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A01M 31/002 Detecting animals in a given area
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 7/188 Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

Described are systems for (a) monitoring real-time animal activity in an area of interest using computer aided image comparison of a real-time image of the area and reference images of animals of interest and (b) providing informed alerts to a user.

Claims

1. A system for (a) monitoring real-time animal activity in an area of interest using computer aided image comparison of a real-time image of the area and reference images of animals of interest and (b) providing informed alerts to a user regarding animal type in said area, where the system comprises:

a camera;

a computer operated microprocessor;

wireless communication device;

a receiver;

wherein the camera, computer operated microprocessor, and wireless communication device are mounted in an area of interest that is remote relative to the receiver;

wherein the camera is connected wirelessly to the computer operated microprocessor;

where the camera is configured to provide both a first video or photo stream of images of the area and a second video photo stream of images of the area to the microprocessor;

wherein the wireless communication device is configured to send alerts to the receiver;

wherein the microprocessor is loaded with the reference image of the animal;

wherein the microprocessor features a program algorithm for learning a static background image of the area of interest from the first video or photo stream of images of the area of interest, where the static background image represents an appearance of the area without any moving objects;

wherein the program algorithm executes on the microprocessor to obtain the static background image of the area of interest;

where the program algorithm executes on the microprocessor a comparison of the images of the second video or photo stream to the static background image to identify an incongruity between the images of the second video or photo stream and the static background image;

where the program algorithm executes on the microprocessor a comparison of the incongruity and the reference images of the animal of interest and determines that the incongruity in the real time image represents the animal of interest;

wherein a wireless signal alerts the receiver of the determination that the incongruity in the real time image represents the animal of interest; and

,

wherein the program algorithm executes a high level logic flowchart to obtain the static background image of the area of interest as follows;

identifying the first video or photo stream of images in the microprocessor and (i) splitting each image of the first video or photo stream into a grid of sections, (ii) comparing every section of a grid of a first image of the first video or photo stream with corresponding sections of the grids from every other image of the first video or photo stream to identify a minor variance in each grid section, (iii) storing each grid section with the associated minor variance in the microprocessor, and (iv) stitching the stored grid sections with associated minor variance together so that the static background image is defined by the stitched together grid sections.

2. The system of claim 1, where the system further comprises:

where the program algorithm executes on the microprocessor a comparison of the images of the second video or photo stream to the static background image to identify an incongruity between the images of the second video or photo stream and the static background image, where the images of the second video or photo stream of the area of interest are overlapped with the static state background or appearance so that overlapping aspects of the static background image and the images of the second photo stream are subtracted from each other to identify the incongruity.

3. The system of claim 2, where the system further comprises:

where the comparison of the incongruity and reference image of the animal involve comparing the shape, size, and color of the incongruity with the shape, size, and color of the animal in the reference image of the animal.

4. The system of claim 3, where the computer operated microprocessor is a smartphone.

5. The system of claim 2, where the computer operated microprocessor is a smartphone.

6. The system of claim 1, where the system further comprises:

where the comparison of the incongruity and reference image of the animal involve comparing the shape, size, and color of the incongruity with the shape, size, and color of the animal in the reference image of the animal.

7. The system of claim 1, where the computer operated microprocessor is a smartphone.