Flow meter and related system and apparatus
A flow meter includes an image sensor and a processor. The image sensor is configured to capture an image of a drip chamber. The processor is configured to determine whether the captured image of the drip chamber contains a match to a template, and to apply a blurring function to the image captured by the image sensor of the drip chamber such that the processor can determine if the captured image contains a match to the template.
1. A system for regulating fluid flow, comprising:
a fluid reservoir for infusing fluid contained therein into a patient;
a drip chamber in fluid communication with the fluid reservoir, wherein the drip chamber is configured to allow a drop of the fluid to exit the fluid reservoir and travel through the drip chamber;
a backlight disposed near the drip chamber such that the backlight provides at least partial illumination to the drip chamber;
a valve configured to regulate the fluid flowing from the drip chamber to the patient; and
a flow meter for monitoring the flow rate of the fluid passing through the drip chamber, the flow meter including:
an image sensor configured to capture an image of the drip chamber, and
a processor configured to:
determine whether the captured image of the drip chamber contains a match to a template, and
apply a blurring function to the image captured by the image sensor of the drip chamber such that the processor can determine if the captured image contains a match to the template.
2. The system of claim 1 , wherein the blurring function is a low pass filter, the set of processor-executable instructions configured to apply the low pass filter to the image captured by the image sensor in either a vertical or a horizontal direction.
3. The system of claim 2 , wherein the low pass filter includes a one-dimensional Gaussian Blur function.
4. The system of claim 1 , wherein the blurring function is a low pass filter, the set of processor-executable instructions configured to apply the low pass filter to the image captured by the image sensor in both a vertical and a horizontal direction.
5. The system of claim 4 , wherein the low pass filter includes a two-dimensional Gaussian Blur function.
6. The system of claim 1 , wherein the template includes at least a partial image of a drop of the fluid forming within the drip chamber.
7. The system of claim 1 , wherein the captured image includes an image of the drip chamber that is at least partially illuminated by the backlight.
8. The system of claim 7 , wherein the desired pattern includes at least a partial image of a drop of the fluid forming within the drip chamber, the drop being at least partially illuminated by the backlight.
9. The system of claim 1 , wherein the blurring function filters the captured image such that the processor can determine if the captured image contains a match to the template.
10. The system of claim 9 , wherein the captured image is filtered to eliminate an amount of detail including images of at least one of condensation or splashes within the drip chamber.
11. The system according to claim 1 , further comprising a monitoring client to receive a flow rate through the drip chamber.
12. The system according to claim 1 , further comprising a background pattern positioned within a field of view of the image sensor.
13. A method of filtering a captured image of a drip chamber configured to allow a drop of fluid to fall within the drip chamber, the method comprising:
capturing an image of the drip chamber with an image sensor;
determining if the captured image contains a visual obstruction;
applying a blurring function to the captured image, the blurring function configured to eliminate an amount of detail in the captured image; and
determining if the captured image contains a match to a template.
14. The method according to claim 13 , wherein the desired pattern includes at least a partial image of a drop of fluid within the drip chamber.
15. The method according to claim 13 , wherein the blurring function is a low pass filter, the low pass filter being applied in either a vertical direction or a horizontal direction.
16. The method according to claim 15 , wherein the low pass filter includes a one-dimensional Gaussian Blur function.
17. The method according to claim 13 , wherein the blurring function is a low pass filter, the low pass filter being applied in both a horizontal direction and a vertical direction.
18. The method according to claim 17 , wherein the low pass filter includes a two-dimensional Gaussian Blur function.
19. The method according to claim 13 , wherein the eliminated amount of detail includes images of one of condensation or splashes within the drip chamber.
20. The method according to claim 13 , further comprising the act of communicating a flow rate with a monitoring client.
21. The method according to claim 13 , further comprising a background pattern positioned within a field of view of the image sensor.
22. A method of capturing an image of a drip chamber, the method comprising:
illuminating at least a portion of a drip chamber;
capturing an image of the drip chamber with an image sensor;
determining if there is a visual obstruction in the captured image using a processor operatively coupled to the image sensor;
applying a blurring function, using the processor, to the captured image to filter the captured image upon a determination that there is a visual obstruction in the captured image; and
determining, using the processor, if there is a match to a template in the captured image.
23. The method of claim 22 , wherein the template includes at least a partial image of a drop of fluid within the drip chamber.
24. The method of claim 22 , wherein the blurring function is a low pass filter, the processor applying the low pass filter to the captured image in either a horizontal direction or a vertical direction.
25. The method of claim 24 , wherein the low pass filter includes a one-dimensional Gaussian Blur function.
26. The method of claim 22 , wherein the blurring function is a low pass filter, the processor applying the low pass filter to the captured image in both a horizontal direction and a vertical direction.
27. The method of claim 26 , wherein the low pass filter includes a two-dimensional Gaussian Blur function.
28. The flow meter of claim 26 , wherein the captured image is filtered to eliminate an amount of detail including images of at least one of condensation or splashes within the drip chamber.
29. A flow meter, comprising:
an image sensor configured to capture an image of a drip chamber;
a processor configured to determine whether the captured image of the drip chamber contains a match to a template, and to apply a blurring function to the image captured by the image sensor of the drip chamber such that the processor can determine if the captured image contains a match to the template.
30. The flow meter of claim 29 , wherein the blurring function is a low pass filter, the set of processor-executable instructions configured to apply the low pass filter to the image captured by the image sensor in either a vertical or a horizontal direction.
31. The flow meter of claim 30 , wherein the low pass filter includes a one-dimensional Gaussian Blur function.
32. The flow meter of claim 29 , wherein the blurring function is a low pass filter, the set of processor-executable instructions configured to apply the low pass filter to the image captured by the image sensor in both a vertical and a horizontal direction.
33. The flow meter of claim 32 , wherein the low pass filter includes a two-dimensional Gaussian Blur function.
34. The flow meter of claim 29 , wherein the template includes at least a partial image of a drop of the fluid forming within the drip chamber.
35. The flow meter of claim 29 , wherein the captured image includes an image of the drip chamber that is at least partially illuminated by the backlight.
36. The flow meter of claim 35 , wherein the desired pattern includes at least a partial image of a drop of the fluid forming within the drip chamber, the drop being at least partially illuminated by the backlight.
37. The flow meter of claim 29 , wherein the blurring function filters the captured image such that the processor can determine if the captured image contains a match to the template.