Method and system for detecting livestock respiratory compromise
Video cameras capture video images of livestock and transmit the images to a computer. The computer identifies individual livestock based on biometric markings. The computer performs pixel enhancement to amplify breathing motion and calculates a respiration rate. A sudden increase in respiration rate indicates respiratory compromise, such as pneumonia or BRD.
1. A computer method for detecting respiratory compromise in livestock, comprising:
receiving a video stream including images of one or more livestock;
determining, from the video stream images, a digital identity of a livestock individual;
finding, in frames of the video stream, an edge of the livestock individual that exhibits respiratory motion;
performing pixel amplification at the edge to amplify the respiratory motion;
determining a respiration rate of the livestock individual from a sequence of the amplified edge pixels; and
displaying information about the respiration rate of the livestock individual on an electronic display.
2. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein displaying information about the respiration rate of the livestock individual on an electronic display includes displaying a notice that an individual livestock has a respiration rate that meets a threshold respiration rate indicative of respiratory distress.
3. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein displaying information about the respiration rate of the livestock individual on an electronic display includes displaying an image of the individual livestock exhibiting a respiration rate that meets a threshold respiration rate indicative of respiratory distress.
4. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein displaying information about the respiration rate of the livestock individual on an electronic display includes displaying an image of the one or more livestock as they mill about with the image of the individual livestock exhibiting a respiration rate highlighted.
5. The computer method for detecting respiratory compromise in livestock of claim 1 , further comprising:
storing the determined respiration rate in a database including previously determined respiration rates of the livestock individual.
6. The computer method for detecting respiratory compromise in livestock of claim 1 , further comprising:
comparing the determined respiration rate of the livestock individual to previously determined respiration rates of the first livestock individual; and
determining if the determined respiration rate is different than the previously determined respiration rates.
7. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein performing pixel amplification at the edge to amplify the respiratory motion is performed using a Laplacian Pyramid.
8. The computer method for detecting respiratory compromise in livestock of claim 7 , wherein using the Laplacian Pyramid includes:
creating negatives of each image at various resolutions; and
performing image addition with the original image on a frame-to-frame basis.
9. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein performing pixel amplification at the edge to amplify the respiratory motion further comprises:
removing high frequency noise from an image addition frame sequence using a maximally flat magnitude filter within a passband corresponding to livestock respiration rate range.
10. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein performing pixel amplification includes performing a Laplacian Pyramid and applying a Butterworth filter to form a processed video stream traversing more pixels than not performing pixel amplification.
11. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein determining the respiration rate includes performing image analysis on one or more pixel-amplified video frame sequences.
12. The computer method for detecting respiratory compromise in livestock of claim 1 , wherein determining respiration rate includes:
obtaining at least three video clips of pixel-amplified intervals; and
applying a filter to ensure the determined respiration rate is representative of an actual respiration rate of the livestock individual.
13. The computer method for detecting respiratory compromise in livestock of claim 12 , wherein applying the filter to ensure the determined respiration rate is representative of an actual respiration rate of the livestock individual includes applying a voting algorithm or performing respiration rate averaging.