IP Library Granted Patent US 12,639,976
Granted Patent B1
US 12,639,976 · App. 18/929,152 · Granted May 26, 2026

Species pattern evaluation

Inventors: Harold Monk (Pride, LA); Jason Ray (Denham Springs, LA); Darryl Monk (Pride, LA)
Assignee: WiseEye Technology LLC
G06V40/10A01K29/005G06F18/22G06V20/52H04N7/181
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Quick Facts
Patent No.
US 12,639,976
App. No.
18/929,152
Granted
May 26, 2026
Kind
B1
Abstract

Methods of evaluating animal activity are disclosed including examples running artificial intelligence classification routines. Predictive atmospheric and celestial data may be used together with predictive artificial intelligence data analysis to obtain probabilities of certain animals being present at certain times. The evaluations may occur in conjunction with the operation of a feeder such that the method includes both feeding a selected species and predicting the activities of that species.

Claims (55)

1 . A method of evaluating animal activity comprising:

a. running an artificial intelligence classification routine to recognize a first species of animal in a first image taken by a first camera at a first location;

b. creating a first data record having details sufficient to identify:

i. a first time at which the first image was taken,

ii. the first species of animal,

iii. the first location,

iv. a first celestial characteristic associated with the first location and the first time, and

v. a first atmospheric characteristic associated with the first location and the first time;

c. adding the first data record to a first species data set;

d. retrieving a predictive atmospheric data set associated with the first location;

e. retrieving a predictive celestial data set associated with the first location;

f. carrying out a predictive artificial intelligence data analysis to evaluate the predictive atmospheric data set, the predictive celestial data set, and the first species data set to estimate a probability of the first species of animal being present during a future time period at the first location; and

g. wirelessly operating a feeder within the animal activity area based on the data record such that the first species of animal is fed by the feeder;

h. wherein the feeder is in the field of view of the first camera.

2 . The method of claim 1 , wherein the first species of animal is a deer.

3 . The method of claim 1 , wherein the wireless operation of the feeder causes a door on the feeder to open.

4 . The method of claim 1 , wherein a further wireless operation of the feeder engages an electrical shock deterrent on the feeder.

5 . The method of claim 1 , wherein the wireless operation of the feeder is based on a result from the predictive artificial intelligence data analysis.

6 . The method of claim 1 , wherein the first camera is arranged and configured for cellular communications.

7 . The method of claim 1 further comprising wirelessly operating the feeder based on data received from a second camera wherein the feeder is not in the field of view of the second camera.

8 . A method of evaluating animal activity comprising:

a. monitoring an animal feeder through a camera;

b. running an artificial intelligence classification routine to recognize a first species of animal in a first image taken by the camera at a first location;

c. creating a first data record having details sufficient to identify:

i. a first time at which the first image was taken,

ii. the first species of animal,

iii. the first location,

iv. a first celestial characteristic associated with the first location and the first time, and

v. a first atmospheric characteristic associated with the first location and the first time;

d. adding the first data record to a first species data set;

e. running the artificial intelligence classification routine to recognize a second species of animal in a second image taken by the camera;

f. recording data indicative of the second species wherein the data indicative of the second species contains details sufficient to identify a second time at which the second image was taken and the second species of animal;

g. retrieving a predictive atmospheric data set associated with the first location;

h. retrieving a predictive celestial data set associated with the first location; and

i. carrying out a predictive artificial intelligence data analysis to evaluate the predictive atmospheric data set, the predictive celestial data set, the first species data set, and the data indicative of the second species to estimate a probability of the first species of animal being present during a future time period at the first location;

j. wherein the data indicative of the second species is negatively correlated with a likelihood of appearance of the first species of animal.

9 . The method of claim 8 further comprising wirelessly operating the animal feeder based on information from the camera.

10 . The method of claim 8 further comprising wirelessly operating the animal feeder such that the second species is excluded from feeding at the animal feeder.

11 . The method of claim 8 , wherein the first species of animal is a deer.

12 . The method of claim 8 , wherein the second species of animal is a predator of deer.

13 . The method of claim 8 , wherein the data indicative of the second species indicates the second species of animal is predatory.

14 . A method of evaluating animal activity comprising:

a. running an artificial intelligence classification routine to recognize a first instance of a first species of animal in a first image captured by a first camera at a first camera plot wherein the first camera monitors a first camera plot within an animal activity area;

b. recording data indicative of the first instance of the first species of animal in the first image wherein the data indicative of the first instance of the first species of animal contains details sufficient to identify a first time at which the first image was captured, the first camera plot, and the first species of animal;

c. running the artificial intelligence classification routine to recognize a second instance of the first species of animal in a second image captured by a second camera at a second camera plot wherein the second camera monitors the second camera plot within the animal activity area;

d. recording data indicative of the second instance of the first species of animal in the second image wherein the data indicative of the second instance of the first species of animal contains details sufficient to identify a second time at which the second image was captured, the second camera plot, and the first species of animal;

e. wirelessly operating a feeder within the animal activity area based on the data indicative of the first instance of the first species of animal; and

f. carrying out a predictive artificial intelligence data analysis estimating a probability of the first species of animal being present during a future time period within the animal activity area;

g. wherein the predictive artificial intelligence data analysis relies on predictive atmospheric data, predictive celestial data, the data indicative of the first instance of the first species of animal, and the data indicative of the second instance of the first species of animal.

15 . The method of claim 14 , wherein the first species of animal is a deer.

16 . The method of claim 14 , wherein the wireless operation of the feeder causes a door on the feeder to open.

17 . The method of claim 14 , wherein a further wireless operation of the feeder engages an electrical shock deterrent on the feeder.

18 . The method of claim 14 , wherein the wireless operation of the feeder is based on a result from the predictive artificial intelligence data analysis.

19 . The method of claim 14 , wherein the first camera is arranged and configured for cellular communications.

20 . The method of claim 14 , wherein the feeder is arranged and configured for cellular communications.

Continuity (4)
Continuation 17808767 · Jun 24, 2022
Continuation 17146144 · Jan 11, 2021
Continuation In Part 16510679 · Jul 12, 2019
Provisional Application 62789763 · Jan 8, 2019
References Cited (14)
US 9218668B2 · Rocque · 2015 [cited by examiner]
US 9295225B2 · Monk et al. · 2016 [cited by applicant]
US 9871959B1 · Hlatky · 2018 [cited by examiner]
US 10292363B2 · Monk · 2019 [cited by applicant]
US 10674703B2 · Monk · 2020 [cited by applicant]
US 10796141B1 · Shepherd, Jr. · 2020 [cited by examiner]
US 10888085B1 · Monk · 2021 [cited by applicant]
US 11638563B2 · Burwinkel · 2023 [cited by examiner]
US 20160262355A1 · Swan · 2016 [cited by examiner]
US 20160280135A1 · Aubert · 2016 [cited by examiner]
US 20190012535A1 · Collins · 2019 [cited by examiner]
US 20190387735A1 · Wynn · 2019 [cited by examiner]
US 20200224685A1 · Calhoun · 2020 [cited by examiner]
US 20210315186A1 · Azimi-Sadjadi · 2021 [cited by examiner]