CN110990633A - Garbage classification fixed-point management system and method based on image retrieval and public system - Google Patents
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Abstract
The invention discloses a garbage classification fixed-point management system and method based on an image retrieval and publicity system, and the garbage classification fixed-point management system comprises a classification garbage delivery bag, a garbage throwing place and a plurality of garbage cans arranged at the garbage throwing place, wherein the classification garbage delivery bag is provided with a mark corresponding to the garbage can, the garbage can is provided with an identification code, the garbage classification garbage delivery bag further comprises a data processing terminal, an image acquisition module and a sensing module, the image acquisition module and the sensing module are arranged at the garbage throwing place, and the image acquisition module and the sensing module are arranged at the garbage throwing place, wherein: the sensing module is used for collecting sensing signals at a garbage throwing position and sending the sensing signals to the image collecting module; when the image acquisition module receives the induction signal, the image acquisition module is used for acquiring image information of the mark of the garbage throwing position, the garbage bin identification code and the classified garbage delivery bag and sending the image information to a data processing terminal; the data processing terminal is used for receiving the image information.
Description
Technical Field
The invention relates to the technical fields of image recognition technology, monitoring systems and the like, in particular to a garbage classification fixed-point management system and method based on an image retrieval and publicity system.
Background
The fixed-point delivery management of the garbage classification of residents is a great trend, and the problems of propaganda and education, unattended operation and punishment and evidence obtaining of the residents are solved. The operation management method utilizes the characteristic of self-carrying flow of the residential refuse, sets a video propaganda and education declaration system and a punishment evidence-taking camera system at a domestic refuse delivery point, combines a patent algorithm technology and a spot check and cloud publicity system, and can conveniently realize the realization of propaganda and education declaration, unattended operation and punishment evidence-taking of residents. The operation management method can also enable an operator to select the timing management to be matched with the manned guard in a certain period according to the actual situation, and can improve the participation rate and the accuracy rate of garbage classification residents more quickly on the premise of increasing a certain financial budget.
Disclosure of Invention
Aiming at the defects in the prior art, the garbage classification fixed-point management system and method based on the image retrieval and announcement system collect and monitor garbage classification points through the image recognition technology, adopt automatic detection to replace manual work, are convenient for obtaining evidence, reduce the labor cost, increase the monitoring time threshold value and improve the accuracy of judgment.
Waste classification fixed point management system based on image retrieval and public system, including categorised rubbish delivery bag, rubbish delivery department and set up a plurality of garbage bins in rubbish delivery department, categorised rubbish delivery bag is provided with the correspondence the sign of garbage bin, be provided with the identification code on the garbage bin, still include data processing terminal, image acquisition module and response module, image acquisition module, response module set up in rubbish delivery department, wherein: the sensing module is used for collecting sensing signals at a garbage throwing position and sending the sensing signals to the image collecting module; when the image acquisition module receives the induction signal, the image acquisition module is used for acquiring image information of the mark of the garbage throwing position, the garbage bin identification code and the classified garbage delivery bag and sending the image information to a data processing terminal; the data processing terminal is used for receiving the image information.
The system can realize real-time monitoring of classified garbage throwing, judges whether residents classify or correctly throw garbage or not through image information of garbage throwing positions, garbage bin identification codes and marks of classified garbage delivery bags acquired by an image acquisition module, and can realize judgment and identification by adopting the conventional image identification technology, wherein the marks of the classified garbage delivery bags are image marks or color marks and are used for distinguishing different types of garbage, and the different types of garbage bin identification codes also correspond to corresponding classified garbage delivery bag marks; the data processing terminal can judge whether the garbage throwing is correct or not through the identification code and the identification; the distribution of the garbage cans at the garbage delivery points is automatically coded through an image recognition system, or the garbage cans are printed with codes and can be recognized by the image recognition system; when a resident delivers a certain garbage can, the system automatically marks the code of the garbage can at the time point of the video so as to be used for video retrieval.
Furthermore, in order to improve the accuracy of fixed point and expand the identification code information, the identification code includes the positioning information and the classification information of the trash can.
Further, in order to improve the integration of big data and data, the system further comprises a cloud server, wherein the cloud server comprises a cloud database and a cloud processor, the cloud server is in communication connection with the data processing terminal, and the cloud server is used for receiving and storing the image information. When a certain garbage can is spot-checked and a garbage bag which does not meet the classification requirement is found, a resident garbage delivery video related to the garbage can be requested from a cloud server, a retrieval video is obtained through marking of the garbage can at a video time point, and the checking workload of the video can be greatly reduced.
Further, in order to increase the warning effect, the system further comprises a display module, wherein the display module is in communication connection with the cloud server, and the display module is arranged at the garbage throwing position.
Furthermore, in order to facilitate spot check, the system further comprises a mobile terminal, wherein the mobile terminal comprises a camera module and a communication module, the camera module is used for collecting image information of the marks of the garbage throwing positions, the garbage can identification codes and the classified garbage delivery bags and sending the image information to a cloud server through the communication module.
The image retrieval and publicity system-based garbage classification fixed-point management method comprises the following steps:
s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module;
s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal;
s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server;
s4, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database;
and S5, sending the public information to the display module, and playing the public information by the display module.
The image retrieval and publicity system-based garbage classification fixed-point management method with a spot check link comprises the following steps:
s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module;
s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal;
s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server;
s4, the mobile terminal collects image information of the mark of the garbage throwing place, the garbage bin identification code and the classified garbage delivery bag through a camera module and sends the image information to a cloud server through the communication module;
s5, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database;
and S6, sending the public information to the display module, and playing the public information by the display module.
Furthermore, in order to facilitate positioning and increase accuracy of identification, the image information is a video or a picture with a timestamp, when the timestamp is generated, the timestamp is captured to be matched with the trash can identification code in the image information, for example, when the video is retrieved, a timestamp keyword is searched, the trash can identification code which appears in the image information within the timestamp time period can be obtained, and when the trash can identification code keyword is searched, all timestamps of which correspond to the trash can identification code of the image information can be obtained.
Further, in order to increase the recognition accuracy, the image recognition includes image data recognition and face data recognition.
Preferably, in order to improve the image recognition efficiency, the image data recognition adopts a SURF algorithm, and the face data recognition adopts a PFLD algorithm.
The invention has the beneficial effects that:
according to the garbage classification fixed-point management system and method based on the image retrieval and publicity system, manual work is replaced by automatic detection, evidence collection is facilitated, labor cost is reduced, a monitoring time threshold is increased, and accuracy of judgment is improved; and in resident waste classification actual operation work, the resident can be very attentive to unqualified notice, when discovering oneself or neighbor by unqualified delivery notice, can play splendid warning effect to form sustainable resident waste classification power.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Example 1
As shown in fig. 1, the garbage classification fixed-point management system based on image retrieval and public indication system comprises a classification garbage delivery bag, a garbage throwing-in place and a plurality of garbage cans arranged at the garbage throwing-in place, wherein the classification garbage delivery bag is provided with a mark corresponding to the garbage can, the garbage can is provided with an identification code, and further comprises a data processing terminal, an image acquisition module and an induction module, wherein the image acquisition module and the induction module are arranged at the garbage throwing-in place, wherein: the sensing module is used for collecting sensing signals at a garbage throwing position and sending the sensing signals to the image collecting module; when the image acquisition module receives the induction signal, the image acquisition module is used for acquiring image information of the mark of the garbage throwing position, the garbage bin identification code and the classified garbage delivery bag and sending the image information to a data processing terminal; the data processing terminal is used for receiving the image information.
The system can realize real-time monitoring of classified garbage throwing, judges whether residents classify or correctly throw garbage or not through image information of garbage throwing positions, garbage bin identification codes and marks of classified garbage delivery bags acquired by an image acquisition module, and can realize judgment and identification by adopting the conventional image identification technology, wherein the marks of the classified garbage delivery bags are image marks or color marks and are used for distinguishing different types of garbage, and the different types of garbage bin identification codes also correspond to corresponding classified garbage delivery bag marks; the data processing terminal can judge whether the garbage throwing is correct or not through the identification code and the identification;
in order to improve the accuracy of fixed point and expand the identification code information, the identification code comprises the positioning information and the classification information of the garbage can.
In order to improve the integration of big data and data, the system further comprises a cloud server, wherein the cloud server comprises a cloud database and a cloud processor, the cloud server is in communication connection with the data processing terminal, and the cloud server is used for receiving and storing the image information.
In order to increase the warning effect, the system further comprises a display module, wherein the display module is in communication connection with the cloud server, and the display module is arranged at the garbage throwing position.
In order to facilitate spot check, the system further comprises a mobile terminal, wherein the mobile terminal comprises a camera module and a communication module, the camera module is used for collecting image information of the marks of the garbage throwing places, the garbage bin identification codes and the classified garbage delivery bags and sending the image information to a cloud server through the communication module.
The image retrieval and publicity system-based garbage classification fixed-point management method comprises the following steps:
s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module;
s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal;
s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server;
s4, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database;
and S5, sending the public information to the display module, and playing the public information by the display module.
In order to facilitate positioning and increase the accuracy of identification, the image information is a video or a picture with a time stamp.
In order to increase the recognition accuracy, the image recognition includes image data recognition and face data recognition.
In order to improve the image recognition efficiency, in this embodiment, the image data recognition uses SURF algorithm, and the face data recognition uses PFLD algorithm.
The SURF algorithm adopted by the image data identification is all called a speed up robust feature, and can be regarded as a Sift algorithm of an accelerated version, and the flow of the Sift algorithm is as follows:
1. extracting key points;
2. adding detailed information (local features) to the keypoints, so-called descriptors;
3. and finding out a plurality of pairs of matched characteristic points by pairwise comparison of two-side characteristic points (key points with characteristic vectors), thereby establishing the corresponding relation between the scenes.
On the basis of the Sift algorithm, the SURF algorithm is further characterized by comprising the following steps:
1. performing an image convolution (correlation) operation using the integral image;
2. detecting eigenvalues by using a Hessian matrix;
3. a distribution-based descriptor (local information) is used.
The general steps of the SURF algorithm are:
1. constructing a Hessian matrix;
2. constructing a scale space;
3. accurately positioning the characteristic points;
4. the main direction is determined.
The PFLD algorithm adopted for face data recognition is a simple, rapid and ultra-high precision face feature point detection algorithm, and is very suitable for the embodiment.
Example 2
The image retrieval and publicity system-based garbage classification fixed-point management method with a spot check link comprises the following steps: s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module; s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal; s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server; s4, the mobile terminal collects image information of the mark of the garbage throwing place, the garbage bin identification code and the classified garbage delivery bag through a camera module and sends the image information to a cloud server through the communication module; s5, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database; and S6, sending the public information to the display module, and playing the public information by the display module.
In actual use:
(1) when the residents lose the garbage to the garbage can from the fixed-point delivery point, the camera system starts to shoot and record the garbage delivery video of the residents; (2) acquiring trash can positioning information by using an image recognition technology, and storing video time points and the trash can positioning information into a database; (3) when a certain garbage can is spot-checked to find an unclassified or unqualified garbage delivery bag, acquiring video data related to the garbage can by inputting garbage can positioning information into a video retrieval system, and comparing image pictures to acquire resident information for delivering the garbage bag; (4) uploading image data of unqualified garbage delivery bags and retrieved video data; (5) the background of the spot check cloud publicity system processes the image data of the unqualified garbage delivery bags and the retrieved video data; (6) transmitting image data to a video system of the delivery point through a cloud public system; (7) the image data is played on the video system of the delivery point at the specified time.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. Image retrieval and publicity system-based garbage classification fixed point management system is characterized in that: including categorised rubbish delivery bag, rubbish delivery department and set up a plurality of garbage bins in rubbish delivery department, categorised rubbish delivery bag is provided with the correspondence the sign of garbage bin, be provided with the identification code on the garbage bin, still include data processing terminal, image acquisition module and response module, image acquisition module, response module set up in rubbish delivery department, wherein:
the sensing module is used for collecting sensing signals at a garbage throwing position and sending the sensing signals to the image collecting module;
when the image acquisition module receives the induction signal, the image acquisition module is used for acquiring image information of the mark of the garbage throwing position, the garbage bin identification code and the classified garbage delivery bag and sending the image information to a data processing terminal;
the data processing terminal is used for receiving the image information.
2. The image retrieval and presentation system based spam classification fixed point management system according to claim 1, wherein: the identification code comprises positioning information and classification information of the garbage can.
3. The image retrieval and presentation system based spam classification fixed point management system according to claim 1, wherein: the cloud server comprises a cloud database and a cloud processor, the cloud server is in communication connection with the data processing terminal, and the cloud server is used for receiving and storing the image information.
4. The image retrieval and presentation system based spam classification fixed point management system according to claim 3, wherein: the garbage throwing device further comprises a display module, the display module is in communication connection with the cloud server, and the display module is arranged at the garbage throwing position.
5. The image retrieval and presentation system based spam classification fixed point management system according to any of claims 3 or 4, wherein: the garbage can is characterized by further comprising a mobile terminal, wherein the mobile terminal comprises a camera module and a communication module, the camera module is used for collecting image information of marks of garbage throwing places, garbage can identification codes and classified garbage delivery bags, and the image information is sent to the cloud server through the communication module.
6. The garbage classification fixed-point management method based on the image retrieval and publicity system is characterized in that: the image retrieval and presentation system based spam classification fixed point management system according to claim 4, comprising the steps of:
s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module;
s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal;
s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server;
s4, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database;
and S5, sending the public information to the display module, and playing the public information by the display module.
7. The garbage classification fixed-point management method based on the image retrieval and publicity system is characterized in that: the image retrieval and presentation system based spam classification fixed point management system according to claim 5, comprising the steps of:
s1, when the residents throw garbage into the garbage throwing place, triggering the sensing module, acquiring sensing signals and sending the sensing signals to the image acquisition module;
s2, when the image acquisition module receives the induction signal, the image acquisition module acquires image information of the resident and garbage throwing place, the garbage bin identification code and the mark of the classified garbage delivery bag, and sends the image information to the data processing terminal;
s3, after receiving the image information, the data processing terminal stores the image information and sends the image information to a cloud server;
s4, the mobile terminal collects image information of the mark of the garbage throwing place, the garbage bin identification code and the classified garbage delivery bag through a camera module and sends the image information to a cloud server through the communication module;
s5, the cloud server receives the image information, performs image recognition on the image information through a cloud processor to obtain positioning information, classification information and image data, and generates public information after comparing and judging the positioning information, the classification information and the image data with the cloud database;
and S6, sending the public information to the display module, and playing the public information by the display module.
8. The image retrieval and presentation system based spam classification fixed point management method according to any of claims 6 or 7, wherein: the image information is a video or a picture with a timestamp, and when the timestamp is generated, the timestamp is captured to be matched with the garbage can identification code in the image information.
9. The image retrieval and presentation system based spam classification fixed point management method according to any of claims 6 or 7, wherein: the image recognition comprises image data recognition and face data recognition.
10. The image retrieval and presentation system based spam classification fixed point management method according to any of claims 9, wherein: the image data recognition adopts an SURF algorithm, and the face data recognition adopts a PFLD algorithm.
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