CN111814757B - Garbage classification simulation system based on computer software - Google Patents
Garbage classification simulation system based on computer software Download PDFInfo
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- CN111814757B CN111814757B CN202010845732.6A CN202010845732A CN111814757B CN 111814757 B CN111814757 B CN 111814757B CN 202010845732 A CN202010845732 A CN 202010845732A CN 111814757 B CN111814757 B CN 111814757B
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- 238000004088 simulation Methods 0.000 title claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 30
- 238000000605 extraction Methods 0.000 claims abstract description 9
- 238000009499 grossing Methods 0.000 claims description 9
- 239000012634 fragment Substances 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 5
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- 238000006243 chemical reaction Methods 0.000 description 4
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- 230000000694 effects Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses a garbage classification simulation system based on computer software, which comprises: the video acquisition module is used for acquiring monitoring videos shot by all cameras on a road to be simulated; the video processing module is used for obtaining the monitoring video of the road according to the monitoring video shot by each camera and obtaining the VR image of the road; the garbage extraction module is used for extracting the position of garbage on the road and the name of the garbage on each position from the VR images; and the classification judging module is used for receiving the type of the garbage input by the user, comparing the type of the garbage with the garbage type corresponding to the garbage at the position, and playing celebration sound when the type of the garbage is consistent with the garbage type corresponding to the garbage at the position. According to the invention, the pictures shot by the cameras on each road are processed to obtain the VR images on each road, so that a user can simulate walking on the road to classify the garbage on the road, and the user can more truly see the real appearance of the garbage to be classified.
Description
Technical Field
The invention relates to the field of computers, in particular to a garbage classification simulation system based on computer software.
Background
Garbage classification is a popular life style at present, and classification of garbage can enable garbage to be processed in a later period to be greatly facilitated. At present, when garbage is classified, users are required to separately deliver the garbage according to the types of the garbage, and for some people who just start to classify the garbage, the garbage can be easily classified in wrong conditions during delivery, so that inconvenience is caused to later garbage treatment.
In the current practice of garbage classification, simulation of garbage classification is performed through simulation software, namely, a garbage is randomly given, a user selects a proper garbage can to classify the garbage, and the garbage can is displayed when the user classification is correct in a congratulatory manner. Although the garbage classification can be effectively practiced, the garbage is usually displayed in the form of pictures, so that the appearance of the garbage cannot be truly reflected, a user does not have good experience participation, and tired emotion can be generated very easily, so that the garbage classification practice effect is poor.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a garbage classification simulation system based on computer software, which is used for processing pictures shot by cameras on all roads to obtain VR images on all roads, so that a user can simulate walking on the roads to classify garbage on the roads, and the user can more truly see the actual appearance of garbage to be classified when practicing garbage classification, so that the garbage classification practice effect is better.
To this end, the invention provides a garbage classification simulation system based on computer software, comprising:
and the video acquisition module is used for acquiring monitoring videos shot by all cameras on the road to be simulated.
And the video processing module is used for splicing the video of the monitoring video shot by each camera according to the position of the camera to obtain the monitoring video of the road, and processing the monitoring video of the road through VR to obtain the VR image of the road.
And the type database is used for storing the names of the garbage and garbage categories corresponding to the garbage.
And the garbage extraction module is used for extracting the position of the garbage on the road and the name of the garbage on each position from the VR image, and searching the corresponding garbage category in the type database according to the name of the garbage.
The classification judging module is used for corresponding the position of the user to the VR image of the road, receiving the type of garbage input by the user when the user reaches the position of each garbage, comparing the type of garbage with the garbage type corresponding to the garbage at the position, and playing celebration sound when the type of garbage and the garbage type are consistent.
Further, the cameras upload the shot video to the video acquisition module in real time in a video frame format, and the time parameters of the video frames uploaded by all cameras at the same time point are consistent.
Still further, the video processing module includes:
and the data receiving module is used for receiving each video frame uploaded by the video acquisition module at each time point in real time.
And the image splicing module is used for arranging all video frames received by the data receiving module according to the positions of the corresponding cameras in each time point, and splicing the arranged video frames in sequence to obtain panoramic video frames of each time point.
And the video generation module synthesizes the panoramic video frames of each time point into the monitoring video of the road according to the sequence of the time points.
And the VR generation module is used for processing the monitoring video of the video generation module through VR to obtain the VR image of the road.
Further, in the image stitching module, when stitching two adjacent video frames in the arrangement,
and comparing adjacent edge pixels of the two adjacent video frames to extract a pixel strip with completely consistent edge pixels of the two adjacent video frames.
And deleting the pixel strip at the edge of one video frame, and merging the edges of two adjacent video frames.
And traversing all the video frames in the process to obtain the panoramic video frame.
Further, when the garbage extraction module extracts the position of the garbage on the road from the VR image,
and extracting the image of the road surface from the VR image.
The image of the road surface is divided into a plurality of road surface image segments.
And respectively extracting a road surface smoothing function from each road surface image segment.
And filtering out the road surface image fragments with the consistent road surface smoothing function.
And taking the position of the rest road surface image fragment as the position of the garbage on the road.
Further, in the classification judgment module, the celebration sound is a celebration audio, and the celebration sound stops playing after playing for a set time.
The garbage classification simulation system based on the computer software has the following beneficial effects: the VR images on the roads are obtained by processing the pictures shot by the cameras on the roads, so that the user can simulate walking on the roads to classify the garbage on the roads, and the user can more truly see the real appearance of the garbage to be classified when practicing garbage classification, so that the practice effect of garbage classification is better.
Drawings
FIG. 1 is a schematic block diagram of the overall system connection of the present invention;
FIG. 2 is a schematic block diagram of a system connection of the video processing module of the present invention;
fig. 3 is a schematic block diagram of a process when the garbage extraction module extracts the position of garbage on the road from the VR image.
Detailed Description
One embodiment of the present invention will be described in detail below with reference to the attached drawings, but it should be understood that the scope of the present invention is not limited by the embodiment.
In this application, the model and structure of the components are not explicitly known in the prior art, and can be set by those skilled in the art according to the needs of the actual situation, and the embodiments of this application are not specifically limited.
Specifically, as shown in fig. 1-3, an embodiment of the present invention provides a garbage classification simulation system based on computer software, including:
and the video acquisition module is used for acquiring monitoring videos shot by all cameras on the road to be simulated. The module performs the extraction of the monitoring video through the camera monitoring system in the area by the web crawler technology to obtain all the monitoring videos on the road to be simulated, and the monitoring videos can cover the whole area of the road to be simulated.
And the video processing module is used for splicing the video of the monitoring video shot by each camera according to the position of the camera to obtain the monitoring video of the road, and processing the monitoring video of the road through VR to obtain the VR image of the road. In the module, the monitoring video shot by each camera obtained by the video acquisition module is spliced according to the position of the camera, so that the time for splicing after comparing the edges of the video can be saved when the video is spliced, the video is more rapid when being spliced, only the overlapped part is needed to be removed, and a complete road panoramic video can be obtained, and then the monitoring video is converted into VR images through a format conversion technology.
And the type database is used for storing the names of the garbage and garbage categories corresponding to the garbage. And storing the names of the garbage and the garbage categories corresponding to the garbage in a table form.
And the garbage extraction module is used for extracting the position of the garbage on the road and the name of the garbage on each position from the VR image, and searching the corresponding garbage category in the type database according to the name of the garbage. The module extracts the position of the garbage by using a mode of extremely poor pixels in the process of extracting the position of the garbage, namely extracting the pixel value of a road in the VR influence, modeling the extracted pixel, generating a protruding point at the position of the garbage, taking the position of the protruding point as the position of the garbage, taking the pixel value of a range set near the position as the VR image of the garbage, and identifying the name of the garbage by adopting an image identification technology according to the VR image of the garbage.
The classification judging module is used for corresponding the position of the user to the VR image of the road, receiving the type of garbage input by the user when the user reaches the position of each garbage, comparing the type of garbage with the garbage type corresponding to the garbage at the position, and playing celebration sound when the type of garbage and the garbage type are consistent. The module carries out interaction for user experience, firstly detects the position of a user in VR images of the road in real time, when the position of the user is consistent with the position of one of the garbage, at the moment, pops up a garbage type input frame for the user, obtains the garbage type input by the user by receiving the input of the user, compares the garbage types corresponding to the garbage at the position, and plays celebration sound when the position of the user is consistent with the position of one of the garbage, so that the user input is correct.
In summary, when the user carries out garbage classification simulation, the actual road is restored through the VR technology, so that the user can classify garbage in practice, but not in a picture mode, and therefore, when the user carries out induction on garbage classification in later period, the user can be more handy and more accurate in classification.
In this embodiment, the cameras upload the captured video to the video acquisition module in real time in the format of video frames, and the time parameters of the video frames uploaded by all cameras at the same time point are consistent. The video transmission mode can enable each camera to transmit simultaneously in real time, so that when video is collected, video frames sent by each camera in real time can be obtained rapidly only by expanding the receiving quantity. The video is spliced at the later stage, so that the time parameters of the video frames uploaded by all cameras at the same time point are consistent, and the video can be spliced in real time, namely, the video frames are spliced according to the positions of the sending cameras in real time, and the spliced video frames are connected in series to form the monitoring video.
Meanwhile, in this embodiment, the video processing module includes:
and the data receiving module is used for receiving each video frame uploaded by the video acquisition module at each time point in real time. The time point is the attribute time of each video frame, for example, the video frame is one every five milliseconds, and the time interval between two adjacent video frames is five milliseconds.
And the image splicing module is used for arranging all video frames received by the data receiving module according to the positions of the corresponding cameras in each time point, and splicing the arranged video frames in sequence to obtain panoramic video frames of each time point. The module uses an image stitching technology, in this embodiment, each video frame is arranged according to the position of its corresponding camera, each pixel in each video frame is modeled, the models of each video frame are built in the same coordinate system, stitching is performed according to the overlapped parts in the models to obtain a model, and finally the model is processed reversely to restore the image, so as to obtain panoramic video frames, and the panoramic video frames at each time point can be obtained by performing the above operations respectively.
And the video generation module synthesizes the panoramic video frames of each time point into the monitoring video of the road according to the sequence of the time points. In the module, panoramic video frames at each time point can be synthesized into one video through a video synthesis technology, and the monitoring video is obtained.
And the VR generation module is used for processing the monitoring video of the video generation module through VR to obtain the VR image of the road. The module converts the monitoring video into VR images through a format conversion technology, and the format conversion technology can be converted through a function conversion mode.
Meanwhile, in the embodiment, in the image stitching module, when two adjacent video frames in the arrangement are stitched, the adjacent edge pixels of the two adjacent video frames are compared, and a pixel bar with the adjacent edge pixels of the two video frames completely consistent is extracted. And deleting the pixel strip at the edge of one video frame, and merging the edges of two adjacent video frames. And traversing all the video frames in the process to obtain the panoramic video frame.
According to the technical scheme, by comparing each video frame with the pixel strips at the edges of the adjacent video frames, when the two pixel strips are completely consistent, the pixel strips are partially overlapped, and when the two pixel strips are spliced, one pixel strip is deleted, so that the panoramic video frame can be obtained.
In this embodiment, when the garbage extraction module extracts the position of the garbage on the road from the VR image, the image of the road surface is extracted from the VR image. The image of the road surface is divided into a plurality of road surface image segments. And respectively extracting a road surface smoothing function from each road surface image segment. And filtering out the road surface image fragments with the consistent road surface smoothing function. And taking the position of the rest road surface image fragment as the position of the garbage on the road.
In the above technical solution, the image of the road surface is divided into a plurality of road surface image segments, the number of the road surface image segments is set by a technician according to the condition of the road, generally, the size of the road surface corresponding to the road surface image segments is not smaller than the size of the garbage, each road surface image segment has a corresponding position, each road surface image segment is processed respectively, a road surface smoothing function is extracted according to the pixel value, when the road surface has no garbage, the road surface smoothing function corresponding to the road surface is consistent, the road surface image segments consistent with the road surface smoothing function are filtered, the rest is the road surface with garbage, and the position corresponding to the rest of the road surface image segments is obtained, namely the position of the garbage on the road.
In this embodiment, in the classification judgment module, the celebration sound is a celebration audio, and the celebration sound stops playing after a set time is played. Thus, the program can be smoothly started downwards, and after a short congratulation is shown to the user, the user can continue to start the practice operation of garbage classification.
The foregoing disclosure is merely illustrative of some embodiments of the invention, but the embodiments are not limited thereto and variations within the scope of the invention will be apparent to those skilled in the art.
Claims (2)
1. A garbage classification simulation system based on computer software, comprising:
the video acquisition module is used for acquiring monitoring videos shot by all cameras on a road to be simulated;
the video processing module is used for splicing the video of the monitoring video shot by each camera according to the position of the camera to obtain the monitoring video of the road, and the VR image of the road is obtained by VR processing the monitoring video of the road;
the type database is used for storing the names of the garbage and garbage categories corresponding to the garbage;
the garbage extraction module is used for extracting the position of garbage on the road and the name of the garbage on each position from the VR image, and searching for corresponding garbage categories in the type database according to the names of the garbage;
when the garbage extraction module extracts the position of garbage on the road from the VR image,
extracting an image of the road surface from the VR image;
dividing the image of the road surface into a plurality of road surface image segments;
respectively extracting a road surface smoothing function from each road surface image segment;
filtering out road surface image fragments with consistent road surface smoothing functions;
taking the position of the rest road surface image fragment as the position of the garbage on the road;
the classification judging module is used for corresponding the position of the user to the VR image of the road, receiving the type of garbage input by the user when the user reaches the position of each garbage, comparing the type of garbage with the garbage type corresponding to the garbage at the position, and playing celebration sound when the type of garbage and the garbage type are consistent;
the cameras upload the shot video to the video acquisition module in real time in a video frame format, and the time parameters of the video frames uploaded by all cameras at the same time point are consistent;
the video processing module comprises:
the data receiving module is used for receiving each video frame uploaded by the video acquisition module at each time point in real time;
the image splicing module is used for arranging all video frames received by the data receiving module according to the positions of the corresponding cameras in each time point, and splicing the arranged video frames in sequence to obtain panoramic video frames of each time point;
the video generation module synthesizes the panoramic video frames of each time point into a monitoring video of the road according to the sequence of the time points;
the VR generation module is used for processing the monitoring video of the video generation module through VR to obtain VR images of the road;
in the image stitching module, when stitching two adjacent video frames in an arrangement,
comparing adjacent edge pixels of two adjacent video frames to extract a pixel strip with completely consistent edge pixels of the two adjacent video frames;
deleting the pixel strip at the edge of one video frame, and merging the edges of two adjacent video frames;
and traversing all the video frames in the process to obtain the panoramic video frame.
2. The garbage classification simulation system based on computer software according to claim 1, wherein in the classification judgment module, the celebration sound is a celebration audio, and the celebration sound stops playing after a set time.
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