CN112560750A - Video-based ground cleanliness recognition algorithm - Google Patents
Video-based ground cleanliness recognition algorithm Download PDFInfo
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- 230000005540 biological transmission Effects 0.000 claims description 19
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- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 3
- 230000010355 oscillation Effects 0.000 claims description 3
- 238000013112 stability test Methods 0.000 claims description 3
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Abstract
The invention belongs to the technical field of video image processing, and particularly relates to a video-based ground cleanliness recognition algorithm which comprises a video acquisition module, a cleanliness grading module and an evaluation calculation module, wherein the video acquisition module is used for acquiring video data information, the cleanliness grading module is used for calculating and grading cleanliness according to the video data information, and the video evaluation calculation module is used for calculating and evaluating the ground cleanliness grade in a video. After the video data are acquired through the video acquisition module, the situation of the ground cleanliness is accurately known through analyzing the stability of the system and calculating the ground cleanliness in the video, and a cleaning flow is accurately formulated according to the change situation of the cleanliness and is used for reminding workers of maintaining and cleaning the ground cleanliness in real time.
Description
Technical Field
The invention belongs to the technical field of video image processing, and particularly relates to a video-based ground cleanliness recognition algorithm.
Background
Along with the improvement of the living standard of people, the requirement on the living environment is higher and higher, the requirement on the clean and tidy ground is higher and higher, and the clean and tidy ground can not only enable people to live in a clean and comfortable environment, but also meet the basic requirements of people. But also is a necessary condition for ensuring physical health. The clean environment may reduce the presence of viral bacterial parasites as well as other small insect animals. Reducing various ways of transmitting virus and bacteria. The clean and tidy office environment is also beneficial to improving the working efficiency and enhancing the enthusiasm of the staff.
Today, the evaluation of the ground finish is mainly observed by human eyes, which is not beneficial to maintaining the finish of the environment at any time. Some intelligent household appliances in modern household appliances can clean the household environment regularly, but the regular cleaning according to time often causes the waste of resources, and the effectiveness of cleaning can not be guaranteed. In view of this, we provide a video-based ground cleanliness recognition algorithm.
Disclosure of Invention
The invention aims to provide a video-based ground cleanliness recognition algorithm to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a video-based ground cleanliness recognition algorithm comprises a video acquisition module, a cleanliness grading module and an evaluation calculation module, wherein the video acquisition module is used for acquiring video data information, the cleanliness grading module is used for calculating and grading cleanliness according to the video data information, and the video evaluation calculation module is used for calculating and evaluating the ground cleanliness grade in a video.
Preferably, the video acquisition module comprises a camera unit and a video transmission storage unit. The camera shooting units are provided with a plurality of cameras and used for monitoring a plurality of ground positions, and the video transmission storage unit is used for storing and transmitting video data in a classified mode.
Preferably, the video transmission storage unit is provided with a memory, and the video transmission storage unit stores the video data in a classified manner according to the camera unit device number.
Preferably, the video acquisition module comprises the following working steps:
step S1: carrying out video recording on the formulated area through a camera unit to obtain video information;
step S2: classifying the acquired video information according to the equipment number of the camera shooting unit;
step S3: the video transmission storage unit stores the video information and transmits the video information required by the cleanliness grading module and the evaluation and calculation module.
Preferably, the cleanliness grading module comprises a grade classifying unit and a setting unit, wherein the grade classifying unit is used for calculating and classifying cleanliness grades, and the setting unit is used for setting the cleanliness grades in the system and threshold values for classification.
Preferably, the ranking classification unit ranks the step
Step S4: determining four pieces of image information for dividing cleanliness grades from a video transmission storage unit as a classification threshold video template;
step S5: calculating cleanliness parameters corresponding to the four images, and taking the calculated parameters as comparison thresholds;
step S6: the cleanliness is classified into five grades according to a threshold value.
Preferably, the evaluation calculation module comprises a system evaluation unit, a cleanliness maintenance evaluation unit and an average cleanliness calculation unit, wherein the system evaluation unit is used for evaluating the stability and accuracy of the system, the cleanliness maintenance evaluation unit is used for evaluating the change of cleanliness with time, and the average cleanliness calculation unit is used for calculating the average condition in the ground cleanliness duration.
Preferably, the system evaluation unit evaluates the calculation formula as follows:
wherein the content of the first and second substances,
representing the system oscillation parameters in the system stability test,
a parameter one representing the effect on the stability of the system,
a second parameter indicative of a parameter affecting the stability of the system,
represents the standard deviation of one of the parameters affecting the stability of the system,
represents the standard deviation of the second parameter affecting the stability of the system,
the value is between 0 and 1.
Preferably, the calculation formula of the cleanliness maintenance evaluation unit is as follows:
wherein the content of the first and second substances,
a real-time cleanliness index is represented,
corresponding grey levels for stains
The total number of the pixel points of (a),
for the total number of pixel points of the image,
indicating a surface cleanliness of
The corresponding hold time at level is a percentage of the total monitored time,
indicating a surface cleanliness of
The level corresponds to the duration of the hold time,
the total time is monitored for the video.
Preferably, the calculation formula of the average cleanliness calculation unit is as follows:
wherein the content of the first and second substances,
in order to average the cleanliness,
in order to be of a cleanliness class,
indicating a grade of ground cleanliness of
The sum of the corresponding durations.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, after the video data is acquired through the video acquisition module, the ground cleanliness condition is accurately known through analyzing the system stability and calculating the ground cleanliness in the video. The cleanliness maintenance and evaluation unit can know the change condition of the ground cleanliness by analyzing the time corresponding to the ground cleanliness, can accurately set a cleaning flow according to the change condition, and can also be used for reminding workers to maintain and clean the ground cleanliness in real time.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural diagram of a video capture module according to the present invention;
FIG. 3 is a schematic view of a cleaning grading module according to the present invention;
FIG. 4 is a schematic diagram of an evaluation calculation module according to the present invention;
fig. 5 is a flowchart of the operation of the video capture module of the present invention.
In the figure: the system comprises a 1 video acquisition module, a 2 cleanliness grading module, a 3 evaluation calculation module, a 101 camera unit, a 102 video transmission storage unit, a 201 grade classification unit, a 202 setting unit, a 301 system evaluation unit, a 302 cleanliness maintenance evaluation unit and a 303 average cleanliness calculation unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution:
a video-based ground cleanliness recognition algorithm comprises a video acquisition module 1, a cleanliness grading module 2 and an evaluation calculation module 3, wherein the video acquisition module 1 is used for acquiring video data information, the cleanliness grading module 2 is used for calculating and grading cleanliness according to the video data information, and the video evaluation calculation module 3 is used for calculating and evaluating ground cleanliness grade in a video
In the present invention, the video acquisition module 1 includes an image capturing unit 101 and a video transmission storage unit 102. The camera unit 101 is provided with a plurality of cameras and is used for monitoring a plurality of ground positions, and the video transmission storage unit 102 is used for storing and transmitting video data in a classified mode. The video transmission storage unit 102 is provided with a memory, and the video transmission storage unit 102 stores video data in a sorted manner according to the apparatus number of the image pickup unit 101. The video acquisition module 1 comprises the following working steps:
step S1: carrying out video recording on the formulated area through a camera unit 101 to obtain video information;
step S2: classifying the acquired video information according to the device number of the camera unit 101;
step S3: the video transmission storage unit 102 stores the video information and transmits the video information required by the cleanliness grading module 2 and the evaluation calculation module 3.
In addition, the cleanliness grading module 2 includes a grade classification unit 201 and a setting unit 202, wherein the grade classification unit 201 is used for calculating and classifying cleanliness grades, and the setting unit 202 is used for setting cleanliness grades in the system and threshold values for classification. Ranking classification unit 201 ranking step
Step S4: determining four pieces of image information for dividing the cleanliness grades from the video transmission storage unit 102 as classification threshold video templates;
step S5: calculating cleanliness parameters corresponding to the four images, and taking the calculated parameters as comparison thresholds;
step S6: the cleanliness is classified into five grades according to a threshold value.
The evaluation calculation module 3 comprises a system evaluation unit 301, a cleanliness maintenance evaluation unit 302 and an average cleanliness calculation unit 303, wherein the system evaluation unit 301 is used for evaluating the stability and accuracy of the system, the cleanliness maintenance evaluation unit 302 is used for evaluating the cleanliness change along with time, and the average cleanliness calculation unit 303 is used for calculating the average condition in the ground cleanliness duration. The system evaluation unit 301 evaluates the calculation formula as:
wherein the content of the first and second substances,
representing the system oscillation parameters in the system stability test,
a parameter one representing the effect on the stability of the system,
a second parameter indicative of a parameter affecting the stability of the system,
represents the standard deviation of one of the parameters affecting the stability of the system,
represents the standard deviation of the second parameter affecting the stability of the system,
the value is between 0 and 1.
The calculation formula of cleanliness maintenance evaluating unit 302 is:
wherein the content of the first and second substances,
a real-time cleanliness index is represented,
corresponding grey levels for stains
The total number of the pixel points of (a),
for the total number of pixel points of the image,
indicating a surface cleanliness of
The corresponding hold time at level is a percentage of the total monitored time,
indicating a surface cleanliness of
The level corresponds to the duration of the hold time,
the total time is monitored for the video.
The calculation formula of the average cleanliness calculation unit 303 is:
wherein the content of the first and second substances,
in order to average the cleanliness,
in order to be of a cleanliness class,
indicating a grade of ground cleanliness of
The sum of the corresponding durations. In addition, when the average cleanliness corresponding to all the real-time monitored images is calculated, the time is converted into the number of the images for calculation,
within time obtain from monitoring video
Calculating cleanliness from an image, in which case
Mean cleanliness of sheet image
Average cleanliness over time.
The specific working process of the invention is as follows: when the video data acquisition module is used, video data information is acquired through the video acquisition module 1, and the video information has a period of time of
The video data of (2) obtaining a still image by intercepting the image at an average time interval, and then calculating a ground sharpness index by analyzing pixels in the image
The cleanliness grading module 2 is used for carrying out grade evaluation calculation on the images according to a threshold value according to four selected image information for dividing cleanliness grades, and a system evaluation unit in the video evaluation calculation module 3301 is used to evaluate the stability and accuracy of the system itself, after the system is determined to be stable, the cleanliness maintenance evaluation unit 302 evaluates the change of cleanliness with time, the average cleanliness calculation unit 303 calculates the average condition of the ground cleanliness within the duration time, and the information of the cleanliness of the bottom surface is accurately known according to the calculated data information.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A video-based ground cleanliness recognition algorithm comprises a video acquisition module (1), a cleanliness grading module (2) and an evaluation calculation module (3), and is characterized in that: the video acquisition module (1) is used for acquiring video data information, the cleanliness grading module (2) is used for calculating and grading cleanliness according to the video data information, and the video evaluation calculation module (3) is used for calculating and evaluating the ground cleanliness grade in the video.
2. The video-based ground cleanliness recognition algorithm of claim 1, wherein: the video acquisition module (1) comprises a camera unit (101) and a video transmission storage unit (102); the camera unit (101) is provided with a plurality of cameras and used for monitoring a plurality of ground positions, and the video transmission storage unit (102) is used for storing and transmitting video data in a classified mode.
3. The video-based ground cleanliness recognition algorithm of claim 2, wherein: the video transmission storage unit (102) is provided with a memory, and the video transmission storage unit (102) stores video data in a classified manner according to the equipment number of the camera unit (101).
4. The video-based ground cleanliness recognition algorithm of claim 3, wherein: the video acquisition module (1) comprises the following working steps:
step S1: carrying out video recording on the formulated area through a camera unit (101) to obtain video information;
step S2: classifying the acquired video information according to the equipment number of the camera unit (101);
step S3: the video transmission storage unit (102) stores the video information and transmits the video information required by the cleanliness grading module (2) and the evaluation calculation module (3).
5. The video-based ground cleanliness recognition algorithm of claim 4, wherein: the cleanliness grading module (2) comprises a grade classification unit (201) and a setting unit (202), wherein the grade classification unit (201) is used for calculating and classifying cleanliness grades, and the setting unit (202) is used for setting cleanliness grades in the system and threshold values for classification.
6. The video-based ground cleanliness recognition algorithm of claim 5, wherein: a step of ranking said ranking classification unit (201)
Step S4: determining four pieces of image information for dividing cleanliness grades from a video transmission storage unit (102) as classification threshold video templates;
step S5: calculating cleanliness parameters corresponding to the four images, and taking the calculated parameters as comparison thresholds;
step S6: the cleanliness is classified into five grades according to a threshold value.
7. The video-based ground cleanliness recognition algorithm of claim 6, wherein: the evaluation calculation module (3) comprises a system evaluation unit (301), a cleanliness maintenance evaluation unit (302) and an average cleanliness calculation unit (303), wherein the system evaluation unit (301) is used for evaluating the stability and accuracy of the system, the cleanliness maintenance evaluation unit (302) is used for evaluating the cleanliness change along with time, and the average cleanliness calculation unit (303) calculates the average condition in the ground cleanliness duration.
8. The video-based ground cleanliness recognition algorithm of claim 7, wherein: the system evaluation unit (301) evaluates the calculation formula as:
wherein the content of the first and second substances,
representing the system oscillation parameters in the system stability test,
a parameter one representing the effect on the stability of the system,
a second parameter indicative of a parameter affecting the stability of the system,
represents the standard deviation of one of the parameters affecting the stability of the system,
represents the standard deviation of the second parameter affecting the stability of the system,
the value is between 0 and 1.
9. The video-based ground cleanliness recognition algorithm of claim 8, wherein: the cleanliness maintenance evaluation unit (302) has the calculation formula as follows:
wherein the content of the first and second substances,
a real-time cleanliness index is represented,
corresponding grey levels for stains
The total number of the pixel points of (a),
for the total number of pixel points of the image,
indicating a surface cleanliness of
The corresponding hold time at level is a percentage of the total monitored time,
indicating a surface cleanliness of
The level corresponds to the duration of the hold time,
the total time is monitored for the video.
10. The video-based ground cleanliness recognition algorithm of claim 9, wherein: the calculation formula of the average cleanliness calculation unit (303) is as follows:
wherein the content of the first and second substances,
in order to average the cleanliness,
in order to be of a cleanliness class,
indicating a grade of ground cleanliness of
The sum of the corresponding durations.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113505681A (en) * | 2021-07-02 | 2021-10-15 | 中标慧安信息技术股份有限公司 | Method for monitoring the hygiene of the ground inside a market |
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| CN103637749A (en) * | 2013-11-25 | 2014-03-19 | 银川博聚工业产品设计有限公司 | Washing integrated machine capable of conducting washing according to cleanliness degree |
| US20140328198A1 (en) * | 2012-04-23 | 2014-11-06 | Huawei Technologies Co., Ltd. | Video Quality Assessment Method and Apparatus |
| CN105951647A (en) * | 2016-05-23 | 2016-09-21 | 安徽海澄德畅电子科技有限公司 | Cleaning operation adjustment and control device for cleaning and dirt washing vehicle |
| CN110278485A (en) * | 2019-07-29 | 2019-09-24 | 北京华雨天成文化传播有限公司 | A kind of method and device for assessing video quality |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140328198A1 (en) * | 2012-04-23 | 2014-11-06 | Huawei Technologies Co., Ltd. | Video Quality Assessment Method and Apparatus |
| CN103637749A (en) * | 2013-11-25 | 2014-03-19 | 银川博聚工业产品设计有限公司 | Washing integrated machine capable of conducting washing according to cleanliness degree |
| CN105951647A (en) * | 2016-05-23 | 2016-09-21 | 安徽海澄德畅电子科技有限公司 | Cleaning operation adjustment and control device for cleaning and dirt washing vehicle |
| CN110278485A (en) * | 2019-07-29 | 2019-09-24 | 北京华雨天成文化传播有限公司 | A kind of method and device for assessing video quality |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113505681A (en) * | 2021-07-02 | 2021-10-15 | 中标慧安信息技术股份有限公司 | Method for monitoring the hygiene of the ground inside a market |
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