Obstacle recognition method and apparatus, storage medium, and electronic device
US-2021056324-A1 · Feb 25, 2021 · US
US12014541B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12014541-B2 |
| Application number | US-202017420324-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 2, 2020 |
| Priority date | Jan 2, 2019 |
| Publication date | Jun 18, 2024 |
| Grant date | Jun 18, 2024 |
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Provided according to an embodiment of the present invention is a device for managing the environment of a breeding farm, the device comprising: an imaging unit for capturing a thermal image of the inside of a breeding farm; an object detection unit for detecting an object from the captured image; an area division unit for dividing the captured image into multiple areas; a filtering unit for extracting, from the divided areas, a second area except a first area where the object is detected; and a control unit for comparing the temperature of the second area with a reference temperature to detect an abnormal situation.
Opening claim text (preview).
The invention claimed is: 1. A device for managing an environment of a breeding farm, comprising: an imaging unit capturing a thermal image in a breeding farm; an object detection unit detecting an object from the captured image; a region division unit dividing the captured image into a plurality of regions; a filtering unit extracting, from among the divided regions, a second region except a first region where the object is detected; and a control unit calculating an average temperature of the second region as a temperature of the second region when a size ratio occupied by the second region in the captured image is equal to or greater than a reference value and detecting an abnormal situation by comparing the temperature of the second region with a reference temperature. 2. The device of claim 1 , wherein the object detection unit detects the object by using a temperature value of the thermal image. 3. The device of claim 1 , wherein the imaging unit captures an RGB image in the breeding farm. 4. The device of claim 3 , wherein the object detection unit detects the object from the RGB image. 5. The device of claim 3 , wherein the control unit calculates at least one of an area and a weight of the object by using the thermal image and the RGB image. 6. The device of claim 5 , wherein the control unit calculates an entire area of the object by using the RGB image, and calculates a body area of the object excluding feathers by using the thermal image. 7. The device of claim 6 , wherein the control unit calculates the weight of the object by using the body area of the object. 8. The device of claim 1 , wherein the region division unit adjusts a size of a target region for division according to an area of the object. 9. The device of claim 8 , wherein the region division unit adjusts the size of the target region for division to be smaller as the area of the object increases. 10. The device of claim 5 , wherein the region division unit adjusts a size of the target region for division depending on at least one of the calculated area and weight of the object. 11. The device of claim 1 , wherein the control unit controls an air conditioning device by comparing the temperature of the second region with the reference temperature. 12. The device of claim 1 , wherein the object detection unit detects the object by detecting a movement in the captured image. 13. The device of claim 1 , wherein the control unit adjusts a range of the reference temperature according to a number of days that the object is placed in the breeding farm. 14. The device of claim 1 , wherein the control unit compares the temperature of each second region with the reference temperature and thereby determines whether an abnormal situation occurs in each second region. 15. The device of claim 1 , wherein the control unit calculates an average value of the temperature of the second region, compares the average value with the reference temperature, and thereby determines whether an abnormal situation occurs in the entire breeding farm. 16. The device of claim 1 , wherein the control unit compares the temperature of the second region with a temperature of an adjacent second region and thereby determines that an abnormal situation occurs in the second region that is out of a critical range. 17. The device of claim 1 , wherein the object detection unit includes a neural network that is to learn a correlation between an image inside the breeding farm and a probability of object existence by using the image inside the breeding farm as an input layer and causing object-detected image data to become an output layer. 18. The device of claim 1 , wherein the region division unit adjusts a size of a target region for division to be reduced as the object grows. 19. The device of claim 18 , wherein the region division unit adjusts the size of the region from an initial stage when the object is placed in the breeding farm to two weeks later, to be greater than the size of the region from three weeks of age to just before shipment.
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