US20160042532A1 - Method for monitoring water level of a water body and system for implementing the method - Google Patents
Method for monitoring water level of a water body and system for implementing the method Download PDFInfo
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- US20160042532A1 US20160042532A1 US14/455,493 US201414455493A US2016042532A1 US 20160042532 A1 US20160042532 A1 US 20160042532A1 US 201414455493 A US201414455493 A US 201414455493A US 2016042532 A1 US2016042532 A1 US 2016042532A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06T7/602—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30192—Weather; Meteorology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/24—Fluid dynamics
Definitions
- the invention relates to a method for monitoring water level of a water body, and a monitoring system configured to execute the method.
- a water body e.g., a river, a lake, etc.
- a commercially available water gauge may be placed directly in the water body to detect the water level.
- human observers may observe the water level in person or observe satellite images acquired by a satellite.
- the water gauge has the risk of being flushed away by flooding, and may not be controllable afterward.
- Using human observers may be costly, and the observed result may not be objective.
- Using the satellite image may have accuracy issues due to the large area covered by the satellite image.
- an object of the present invention is to provide a method for monitoring a water level of a water body that is relatively simple and accurate.
- a method for monitoring water level of a water body is to be implemented using a monitoring system that includes an image capturing module and an image processing module.
- the method includes the following steps of:
- Another object of the present invention is to provide a monitoring system that is configured to implement the above-mentioned method of this invention.
- a monitoring system is for monitoring water level of a water body, and includes an image capturing module and an image processing module.
- the image capturing module is for capturing a current image.
- the current image has a portion of the water body, and a remaining portion aside from the portion of the water body.
- the image processing module is coupled to the image capturing module and is configured to:
- FIG. 1 is a block diagram of an embodiment of a monitoring system according to the present invention
- FIG. 2 is a flow chart of a method to be executed using the monitoring system, according to the present invention.
- FIGS. 3 and 4 are exemplary current images captured using an image capturing module of the monitoring system of the embodiment
- FIGS. 5 and 6 correspond to FIGS. 3 and 4 , respectively, with a plurality of water body seed points and a plurality of background seed points added;
- FIGS. 7 and 8 are exemplary processed images generated by an image processing module of the monitoring system of the embodiment.
- FIGS. 9 and 10 correspond to FIGS. 7 and 8 , respectively, with a predetermined water level and a plurality of virtual alert points added.
- an embodiment of a monitoring system 1 is for monitoring water level of a water body (e.g., a river, a lake, etc.).
- a water body e.g., a river, a lake, etc.
- the water body is a river.
- the monitoring system 1 includes an image capturing module 11 , an image processing module 12 , an output module 13 , a display unit 14 and an audio output unit 15 .
- the image capturing module 11 is for capturing an image.
- the image capturing module 11 is configured to capture a current image 3 of the river, as best shown in FIGS. 3 and 4 .
- the image processing module 12 is coupled to the image capturing module 11 for receiving the current image 3 of the river therefrom, and is configured to subject the current image 3 of the river to various processes. After processing the current image 3 of the river, the image processing module 12 is configured to generate a monitoring result and/or a warning signal associated with the water level of the river.
- the output module 13 is coupled to the image processing module 12 for receiving the monitoring result and/or the warning signal therefrom.
- the display unit 14 and the audio output unit 15 are coupled to the output module 13 and are configured to output signals received from the output module 13 .
- the monitoring system 1 of this invention is configured to execute a method for monitoring water level of the water body.
- the image capturing module 11 is disposed at a specific location near a river to capture a current image of the river.
- FIGS. 3 and 4 respectively illustrate two current images captured by the image capturing module 11 that is installed near a bridge across the river.
- step 21 the image capturing module 11 captures a current image 3 of the river.
- the current image 3 of the river has a portion of the water body 31 , and a remaining portion 32 aside from the portion of the water body 31 . It can be seen from FIG. 4 that a larger portion of the water body 31 in the current image 3 may indicate that the river has a higher water level.
- the image processing module 12 receives and processes the current image 3 of the river.
- the image processing module 12 processes the current image 3 into a processed image 3 ′ that includes a water body region 6 corresponding to the portion of the water body 31 , and a background region 7 corresponding to the remaining portion 32 of the current image 3 .
- FIGS. 7 and 8 illustrate two processed images 3 ′ that correspond respectively to the current images 3 of FIGS. 3 and 4 .
- an image segmentation method (for example, region growing) is used to process the current image 3 into the processed image 3 ′.
- the image processing module 12 selects, based on a set of predetermined criteria, a plurality of water body seed points 4 within the portion of the water body 31 , and a plurality of background seed points 5 within the remaining portion 32 of the current image 3 (see FIGS. 5 and 6 ).
- the image processing module 12 is configured to classify the pixels in the current image 3 into one of the water body region 6 and the background region 7 , based on the selected water body seed points 4 and the background seed points 5 .
- the resulting processed images 3 ′ are shown in FIGS. 7 and 8 .
- the image processing module 12 marks a plurality of virtual alert points 9 on the processed image 3 ′ according to a predetermined water level 8 of the water body (see FIGS. 9 and 10 ).
- the predetermined water level 8 is a full water level of the water body 31 , and five virtual alert points 9 are marked.
- the predetermined water level 8 may be a virtual line marked on the processed image 3 ′ at a predetermined location indicating the full water level of the water body 31 .
- the image processing module 12 is configured to determine whether each of the virtual alert points 9 is located within the water body region 6 of the processed image 3 ′.
- the virtual alert points 9 represent various water levels between the full water level and a normal water level of the water body 31 (see FIG. 3 ), respectively, and a number of the virtual alert points 9 located within the water body region 6 is positively related to the water level of the water body 31 .
- none of the virtual alert points 9 marked in the processed image 3 ′ of FIG. 9 is located in the water body region 6 , indicating the normal water level (or below normal water level) of the water body 31 .
- four of the virtual alert points 9 marked in the processed image 3 ′ of FIG. 10 are located in the water body region 6 , indicating a higher water level of the water body 31 . It is apparent that the water body region 6 of the processed image 3 ′ of FIG. 10 is significantly larger than that of the processed image 3 ′ of FIG. 9 .
- the image processing module 12 further calculates a danger index based on the number of the virtual alert points 9 located within the water body region 6 of the processed image 3 ′.
- the danger index may be calculated as (K/N)*100%, where K is the number of the virtual alert points 9 located within the water body region 6 , and N is a total number of the virtual alert points 9 . That is, the danger index is expressed as a percentage of all the virtual alert points 9 located within the water body region 6 .
- step 25 the image processing module 12 determines whether the danger index is greater than or equal to a predetermined value. When the danger index is greater than or equal to the predetermined value, it is implied that the water level of the water body 31 is too high.
- step 26 the image processing module 12 generates a warning signal. Then, the image processing module 12 transmits the monitoring result and the warning signal to the output module 13 .
- the output module 13 is configured to process the warning signal and generate an alert signal, which is in the form of a voice signal, a graphical signal, a text message, or combinations thereof. The alert signal is subsequently transmitted to the display unit 14 and/or the audio output unit 15 for output.
- the output module 13 may transmit the monitoring result to the display unit 14 and/or the audio output unit 15 , and thus, the display unit 14 and/or the audio output unit 15 may indicate the water level of the water body 31 according to the monitoring result.
- the processed image 3 ′ is one as shown in FIG. 9 , the calculated danger index is equal to 0, and the image processing module 12 does not generate the warning signal.
- the processed image 3 ′ as shown in FIG. 10 causes the image processing module 12 to generate the warning signal, as four of five virtual alert points 9 are located within the water body region 6 (the calculated danger index is equal to 80%).
- the monitoring system 1 is configured to utilize the image processing module 12 to process the current image 3 captured by the image capturing module 11 , and to determine whether the water level of the water body 31 is too high by counting the number of the virtual alert points 9 that are located within the water body region 6 .
- the embodiment of this invention provides a relatively simple and accurate way to monitor the water level of the water body 31 .
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Abstract
Description
- The invention relates to a method for monitoring water level of a water body, and a monitoring system configured to execute the method.
- Conventionally, there are a number of schemes available for monitoring water level of a water body (e.g., a river, a lake, etc.), in order to gain awareness of potential flooding in advance. For example, a commercially available water gauge may be placed directly in the water body to detect the water level. Alternatively, human observers may observe the water level in person or observe satellite images acquired by a satellite.
- There are some drawbacks associated with the conventional schemes for monitoring the water level. For example, the water gauge has the risk of being flushed away by flooding, and may not be controllable afterward. Using human observers may be costly, and the observed result may not be objective. Using the satellite image may have accuracy issues due to the large area covered by the satellite image.
- Therefore, an object of the present invention is to provide a method for monitoring a water level of a water body that is relatively simple and accurate.
- Accordingly, a method for monitoring water level of a water body is to be implemented using a monitoring system that includes an image capturing module and an image processing module. The method includes the following steps of:
-
- (a) capturing, using the image capturing module, a current image that has a portion of the water body and a remaining portion aside from the portion of the water body;
- (b) processing, by the image processing module, the current image into a processed image that includes a water body region corresponding to the portion of the water body, and a background region corresponding to the remaining portion of the current image;
- (c) marking on the processed image, by the image processing module, a plurality of virtual alert points according to a predetermined water level of the water body;
- (d) determining, by the image processing module, whether at least one of the virtual alert points is located within the water body region of the processed image; and
- (e) generating, by the image processing module, a monitoring result according to the determination made in step (d).
- Another object of the present invention is to provide a monitoring system that is configured to implement the above-mentioned method of this invention.
- Accordingly, a monitoring system is for monitoring water level of a water body, and includes an image capturing module and an image processing module.
- The image capturing module is for capturing a current image. The current image has a portion of the water body, and a remaining portion aside from the portion of the water body.
- The image processing module is coupled to the image capturing module and is configured to:
-
- process the current image into a processed image that includes a water body region corresponding to the portion of the water body and a background region corresponding to the remaining portion of the current image,
- mark, on the processed image, a plurality of virtual alert points according to a predetermined water level of the water body,
- determine whether at least one of the virtual alert points is located within the water body region of the processed image, and
- generate a monitoring result according to the determination thus made.
- Other features and advantages of the present invention will become apparent in the following detailed description of the embodiments with reference to the accompanying drawings, of which:
-
FIG. 1 is a block diagram of an embodiment of a monitoring system according to the present invention; -
FIG. 2 is a flow chart of a method to be executed using the monitoring system, according to the present invention; -
FIGS. 3 and 4 are exemplary current images captured using an image capturing module of the monitoring system of the embodiment; -
FIGS. 5 and 6 correspond toFIGS. 3 and 4 , respectively, with a plurality of water body seed points and a plurality of background seed points added; -
FIGS. 7 and 8 are exemplary processed images generated by an image processing module of the monitoring system of the embodiment; and -
FIGS. 9 and 10 correspond toFIGS. 7 and 8 , respectively, with a predetermined water level and a plurality of virtual alert points added. - Referring to
FIG. 1 , an embodiment of amonitoring system 1 according to the present invention is for monitoring water level of a water body (e.g., a river, a lake, etc.). In this embodiment, the water body is a river. - The
monitoring system 1 includes animage capturing module 11, animage processing module 12, anoutput module 13, adisplay unit 14 and anaudio output unit 15. - The image capturing
module 11 is for capturing an image. In this embodiment, the image capturingmodule 11 is configured to capture acurrent image 3 of the river, as best shown inFIGS. 3 and 4 . - The
image processing module 12 is coupled to the image capturingmodule 11 for receiving thecurrent image 3 of the river therefrom, and is configured to subject thecurrent image 3 of the river to various processes. After processing thecurrent image 3 of the river, theimage processing module 12 is configured to generate a monitoring result and/or a warning signal associated with the water level of the river. Theoutput module 13 is coupled to theimage processing module 12 for receiving the monitoring result and/or the warning signal therefrom. Thedisplay unit 14 and theaudio output unit 15 are coupled to theoutput module 13 and are configured to output signals received from theoutput module 13. - Further referring to
FIG. 2 , themonitoring system 1 of this invention is configured to execute a method for monitoring water level of the water body. - In this embodiment, the image capturing
module 11 is disposed at a specific location near a river to capture a current image of the river. For example,FIGS. 3 and 4 respectively illustrate two current images captured by the image capturingmodule 11 that is installed near a bridge across the river. - In
step 21, the image capturingmodule 11 captures acurrent image 3 of the river. Thecurrent image 3 of the river has a portion of thewater body 31, and aremaining portion 32 aside from the portion of thewater body 31. It can be seen fromFIG. 4 that a larger portion of thewater body 31 in thecurrent image 3 may indicate that the river has a higher water level. - In
step 22, theimage processing module 12 receives and processes thecurrent image 3 of the river. In particular, in this embodiment, theimage processing module 12 processes thecurrent image 3 into a processedimage 3′ that includes awater body region 6 corresponding to the portion of thewater body 31, and abackground region 7 corresponding to theremaining portion 32 of thecurrent image 3. - As an example,
FIGS. 7 and 8 illustrate two processedimages 3′ that correspond respectively to thecurrent images 3 ofFIGS. 3 and 4 . - In this embodiment, an image segmentation method (for example, region growing) is used to process the
current image 3 into the processedimage 3′. First, theimage processing module 12 selects, based on a set of predetermined criteria, a plurality of waterbody seed points 4 within the portion of thewater body 31, and a plurality ofbackground seed points 5 within theremaining portion 32 of the current image 3 (seeFIGS. 5 and 6 ). - Afterward, the
image processing module 12 is configured to classify the pixels in thecurrent image 3 into one of thewater body region 6 and thebackground region 7, based on the selected waterbody seed points 4 and thebackground seed points 5. The resulting processedimages 3′ are shown inFIGS. 7 and 8 . - Then, in
step 23, theimage processing module 12 marks a plurality ofvirtual alert points 9 on the processedimage 3′ according to apredetermined water level 8 of the water body (seeFIGS. 9 and 10 ). In this embodiment, thepredetermined water level 8 is a full water level of thewater body 31, and fivevirtual alert points 9 are marked. For example, thepredetermined water level 8 may be a virtual line marked on the processedimage 3′ at a predetermined location indicating the full water level of thewater body 31. - In
step 24, theimage processing module 12 is configured to determine whether each of thevirtual alert points 9 is located within thewater body region 6 of the processedimage 3′. In this embodiment, thevirtual alert points 9 represent various water levels between the full water level and a normal water level of the water body 31 (seeFIG. 3 ), respectively, and a number of thevirtual alert points 9 located within thewater body region 6 is positively related to the water level of thewater body 31. - For example, none of the
virtual alert points 9 marked in the processedimage 3′ ofFIG. 9 is located in thewater body region 6, indicating the normal water level (or below normal water level) of thewater body 31. On the other hand, four of the virtual alert points 9 marked in the processedimage 3′ ofFIG. 10 are located in thewater body region 6, indicating a higher water level of thewater body 31. It is apparent that thewater body region 6 of the processedimage 3′ ofFIG. 10 is significantly larger than that of the processedimage 3′ ofFIG. 9 . - In this embodiment, the
image processing module 12 further calculates a danger index based on the number of the virtual alert points 9 located within thewater body region 6 of the processedimage 3′. For example, the danger index may be calculated as (K/N)*100%, where K is the number of the virtual alert points 9 located within thewater body region 6, and N is a total number of the virtual alert points 9. That is, the danger index is expressed as a percentage of all the virtual alert points 9 located within thewater body region 6. - In
step 25, theimage processing module 12 determines whether the danger index is greater than or equal to a predetermined value. When the danger index is greater than or equal to the predetermined value, it is implied that the water level of thewater body 31 is too high. - In such a case, in
step 26, theimage processing module 12 generates a warning signal. Then, theimage processing module 12 transmits the monitoring result and the warning signal to theoutput module 13. Theoutput module 13 is configured to process the warning signal and generate an alert signal, which is in the form of a voice signal, a graphical signal, a text message, or combinations thereof. The alert signal is subsequently transmitted to thedisplay unit 14 and/or theaudio output unit 15 for output. - It is noted that in the cases where the danger index is lower than the predetermined value, no warning signal is generated, and in turn no alert signal is outputted and the flow goes back to step 21 to continue with the monitoring.
- In this case, the
output module 13 may transmit the monitoring result to thedisplay unit 14 and/or theaudio output unit 15, and thus, thedisplay unit 14 and/or theaudio output unit 15 may indicate the water level of thewater body 31 according to the monitoring result. - For example, it is assumed that a predetermined value of 80% is imposed. When the processed
image 3′ is one as shown inFIG. 9 , the calculated danger index is equal to 0, and theimage processing module 12 does not generate the warning signal. On the other hand, the processedimage 3′ as shown inFIG. 10 causes theimage processing module 12 to generate the warning signal, as four of five virtual alert points 9 are located within the water body region 6 (the calculated danger index is equal to 80%). - To sum up, in the method of this invention, the
monitoring system 1 is configured to utilize theimage processing module 12 to process thecurrent image 3 captured by theimage capturing module 11, and to determine whether the water level of thewater body 31 is too high by counting the number of the virtual alert points 9 that are located within thewater body region 6. In other words, the embodiment of this invention provides a relatively simple and accurate way to monitor the water level of thewater body 31. - While the present invention has been described in connection with what is considered the most practical embodiment, it is understood that this invention is not limited to the disclosed embodiment but is intended to cover various arrangements included within the spirit and scope of the broadest interpretation so as to encompass all such modifications and equivalent arrangements.
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US20160314676A1 (en) * | 2015-04-21 | 2016-10-27 | Sintai Optical (Shenzhen) Co., Ltd. | Active protection system |
CN109508630A (en) * | 2018-09-27 | 2019-03-22 | 杭州朗澈科技有限公司 | A method of water gauge water level is identified based on artificial intelligence |
US11300855B2 (en) * | 2015-02-27 | 2022-04-12 | l&Eye Enterprises, LLC | Wastewater monitoring system and method |
US11895387B2 (en) | 2022-07-08 | 2024-02-06 | I & EyeEnterprises, LLC | Modular camera that uses artificial intelligence to categorize photos |
US12035025B2 (en) | 2022-07-08 | 2024-07-09 | I & EyeEnterprises, LLC | Modular camera |
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US11300855B2 (en) * | 2015-02-27 | 2022-04-12 | l&Eye Enterprises, LLC | Wastewater monitoring system and method |
US20160314676A1 (en) * | 2015-04-21 | 2016-10-27 | Sintai Optical (Shenzhen) Co., Ltd. | Active protection system |
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CN109508630A (en) * | 2018-09-27 | 2019-03-22 | 杭州朗澈科技有限公司 | A method of water gauge water level is identified based on artificial intelligence |
US11895387B2 (en) | 2022-07-08 | 2024-02-06 | I & EyeEnterprises, LLC | Modular camera that uses artificial intelligence to categorize photos |
US12035025B2 (en) | 2022-07-08 | 2024-07-09 | I & EyeEnterprises, LLC | Modular camera |
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