CN112158486A - Intelligent garbage classification device and classification method - Google Patents
Intelligent garbage classification device and classification method Download PDFInfo
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- CN112158486A CN112158486A CN202010889045.4A CN202010889045A CN112158486A CN 112158486 A CN112158486 A CN 112158486A CN 202010889045 A CN202010889045 A CN 202010889045A CN 112158486 A CN112158486 A CN 112158486A
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/138—Identification means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
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Abstract
The invention discloses an intelligent garbage classification device and a classification method, which relate to the technical field of garbage classification devices and mainly comprise the following steps: the system comprises an image acquisition preprocessing module, a voice recognition module, a garbage detection recognition module, a hardware peripheral module, a database module and a central processing module. The invention adopts a modular structure form, combines the voice recognition and the image processing technology, and after a user awakens the equipment through a keyword, the user enters the corresponding voice recognition module or the image recognition module according to a voice instruction of the user to recognize the garbage type, feeds back a recognized garbage type result, and automatically opens and closes the corresponding garbage can, so that the operation is simple, and a certain guidance can be provided for the user; and the awareness of the citizen garbage classification and the knowledge of the garbage classification rule are enhanced.
Description
Technical Field
The invention relates to the technical field of garbage classification equipment, in particular to intelligent garbage classification equipment and a classification method.
Background
Along with the development of economic society, the material consumption level is greatly improved, the garbage production amount in China is sharply increased, the threat to the environment is more and more serious, and the method becomes a restriction factor of novel urbanization. At present, the classification of urban domestic garbage in China has been tried in socialization, marketization and other aspects, but the coverage is not high, and the work propulsion difficulty is high. The main reason is that the citizens have low awareness of classifying dry and wet garbage, and are easily confused about classifying garbage to be discarded, for example, wet tissues and napkins which need to be discarded, and many citizens consider wet garbage to be not.
Urban resident domestic waste all needs to retrieve according to the kind of rubbish, but what adopt at present in the aspect of rubbish recovery is that a kind of rubbish places a dustbin, also only divide into recoverable rubbish and can not retrieve rubbish in the aspect of the waste classification. In practice, the household garbage comprises paper shells, waste batteries, old clothes, pop cans, kitchen garbage and the like, the recyclable garbage cannot be treated and reused together, and the non-recyclable garbage cannot be treated harmlessly together. And the resident needs to carefully look over which dustbin is fit for throwing in when throwing in various rubbish, sometimes does not know what kind of rubbish belongs to what kind of rubbish, causes the problem of throwing the dustbin wrong easily.
Disclosure of Invention
The invention discloses intelligent garbage classification equipment and a classification method, aiming at solving the technical problem that the existing garbage classification equipment does not automatically identify the garbage types.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent garbage classification device, comprising:
the voice recognition module is used for recognizing the voice command of the user;
the image acquisition preprocessing module is used for acquiring garbage images in the detection area;
the garbage detection and identification module is used for identifying the garbage types in the collected garbage images;
the hardware peripheral module is used for realizing voice acquisition and broadcasting, garbage detection area and standby animation display, garbage can capacity data acquisition and opening and closing of the garbage can;
and the database module is used for storing the related information of the garbage types and the names.
And the central processing module is connected with the voice recognition module, the image acquisition preprocessing module, the garbage detection recognition module, the hardware peripheral module and the database module.
Furthermore, the image acquisition preprocessing module comprises a high-definition camera and a raspberry group, the high-definition camera realizes real-time acquisition of garbage images in the detection area, and transmits image data to the garbage detection identification module in the raspberry group through a USB transmission line; the image is pre-processed before it is transmitted.
Further, the garbage detection and identification module adopts a garbage detection and identification model trained by the YOLOv3 algorithm to identify four types of garbage, recyclables, harmful garbage and other garbage, and the training process adopts the Darknet version YOLOv 3.
Furthermore, the hardware peripheral module comprises a small microphone, a small sound box, a display touch screen, a ZigBee coordinator, a motor, an ultrasonic ranging sensor and a raspberry pi; the raspberry pie is connected with other hardware peripherals, is externally provided with a USB sound card and is connected with a small microphone, and is used for collecting a user voice instruction; the miniature sound box is connected with the raspberry group audio output port and plays a prompt tone and an identification result; the display touch screen is connected with the raspberry through an HDMI line, plays animation in the standby and detection processes of the equipment, and displays a picture during image detection; the ZigBee coordinator is connected with the raspberry group through an RS232 serial port line, collects terminal node information and sends a control command from the equipment; the motor and the ultrasonic ranging sensor are arranged inside the garbage can, so that the opening and closing of the garbage can and the real-time measurement of the capacity of the garbage can are realized.
Further, the database module selects a MySQL database.
The invention also aims to disclose an intelligent garbage classification method, which adopts the intelligent garbage classification equipment and specifically comprises the following steps:
s1, waking up the intelligent garbage classification device by the user through the voice keywords;
s2, after the equipment is awakened, the function introduction is played, the user is reminded of the function selection of voice recognition or image recognition through voice, and the user inputs an instruction through voice after the voice prompt is finished;
s3, if the voice input is selected, the equipment identifies the voice input by the user; if image recognition is selected, starting a high-definition camera, displaying a detection area on a display, reminding a user to put garbage into the recognition area and reminding the user to press a photographing key for recognition and classification;
and S4, querying the database to return an identification result and informing the user of the garbage type and the corresponding garbage can.
Further, during step S4, there are several cases:
(1) if the garbage types are not inquired for many times, prompting a user to put the garbage into a designated area and waiting for manual treatment;
(2) if the result is inquired, automatically opening the corresponding garbage can with the capacity not full, and reminding the user to put in the garbage can;
(3) if the corresponding garbage can is full under a certain classification, the garbage can is not opened, and a user is informed that the garbage can is full, and is reminded to put the garbage into a designated area;
(4) after the user puts in the rubbish, the dustbin is automatically closed, and the user is inquired whether to identify again; if the voice command is finished, the equipment enters a dormant stage and waits for the next awakening; if the voice command is continued, the process returns to S2 to continue execution.
The invention has the advantages that the invention adopts a modular structure form and combines the voice recognition and image processing technology. The user wakes up the equipment through the keyword, after waking up, the user enters the corresponding voice recognition module or the image recognition module according to the voice command of the user to recognize the garbage type, feeds back the recognized garbage type result, and automatically opens and closes the corresponding garbage can, so that the operation is simpler, and certain guidance can be provided for the user; and the awareness of the citizen garbage classification and the knowledge of the garbage classification rule are enhanced.
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FIG. 1 is a schematic diagram of a system architecture according to the present invention;
FIG. 2 is a schematic flow chart of the present invention.
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.
As shown in fig. 1, an intelligent garbage classification device mainly comprises six modules, namely an image acquisition preprocessing module, a voice recognition module, a garbage detection recognition module, a hardware peripheral module, a database module and a central processing module.
The various modules are discussed in detail below:
firstly, a voice recognition module is used for recognizing voice,
recognizing a user voice instruction; speech recognition is divided into three categories: the first is a wake-up word of an assistant, and the wake-up word is set by a worker in advance; the second is a garbage classification function which is selected by the user and is required to be selected by the assistant, namely voice input or image recognition; the third type is the Chinese name of the garbage category, the identified Chinese name of the garbage is subjected to database query operation, and a corresponding garbage can is opened.
Image acquisition preprocessing module
Collecting garbage images in the detection area; the image acquisition preprocessing module comprises a high-definition camera and a raspberry pie, on one hand, the high-definition camera realizes real-time acquisition of garbage images in the detection area, and transmits image data to the garbage detection identification module in the raspberry pie through a USB transmission line; on the other hand, the image needs to be preprocessed before being transmitted, and preprocessing operations comprise color channel sequential conversion and image format conversion.
Third, rubbish detects the recognition module
Identifying the garbage types in the collected garbage images; the garbage detection and identification module can identify four types of garbage, namely kitchen garbage, recoverable matters, harmful garbage and other garbage by adopting a garbage detection and identification model trained by a YOLOv3 algorithm, wherein the training process adopts a Darknet version of YOLOv3, and a used data set is derived from a data set of a network open source and a part of self-made data set. And a data enhancement mode is adopted, operations such as turning, twisting and color dithering are carried out on the picture, increment of a data set is increased, and generalization capability of model detection is enhanced.
Hardware peripheral module
Voice collection and broadcasting, display of a garbage detection area and standby animation, collection of garbage can capacity data and opening and closing of the garbage can are achieved;
the hardware peripheral module comprises a small microphone, a small sound box, a display touch screen, a ZigBee coordinator, a motor, an ultrasonic ranging sensor and a raspberry pi; the raspberry pi is connected with other hardware peripherals, and in the connection mode, as the raspberry pi does not have an audio input interface, a USB sound card is required to be externally arranged for solving the problem, and the small microphone is connected with the USB sound card and used for collecting a user voice instruction; the miniature sound box is connected with a 3.5mm audio output port of the raspberry pie, and is powered through a USB (universal serial bus) to play prompt tones and recognition results; the display touch screen is connected with the raspberry through an HDMI line, plays animation in the standby and detection processes of the equipment, displays pictures during image detection, and displays the pictures during image detection by starting the camera, supports key operation, comprises two keys and is used for photographing and recording awakening words respectively; the ZigBee coordinator is connected with the raspberry group through an RS232 serial port line and is used for establishing a ZigBee network, collecting terminal node information and sending a control command from equipment; the motor and the ultrasonic ranging sensor are arranged inside the garbage can, so that the opening and closing of the garbage can and the real-time measurement of the capacity of the garbage can are realized.
Database module
The garbage type and name related information is stored, the database module adopts a MySQL database, the format of a built database table is a serial number garbage can with a Chinese name and an English name, the garbage type garbage can is coded in an utf-8 format to prevent Chinese messy codes, the garbage types are divided into four types, namely kitchen garbage, recyclable matters, harmful garbage and other garbage, the garbage can comprises garbage can serial numbers of different garbage types, for example, the garbage can serial number of the kitchen garbage is 1-2-3, and the garbage can serial number of the recyclable matters is 4-5-6, and so on.
Sixthly, a central processing module
The voice recognition module, the image acquisition preprocessing module, the garbage detection recognition module, the hardware peripheral module and the database module are connected and are responsible for scheduling the modules, so that an assistant can quickly respond according to instructions of a user.
The invention also discloses an intelligent garbage classification method, which adopts the intelligent garbage classification equipment and comprises the following steps:
s1, the user awakens the intelligent garbage classification device through the voice keywords, and if the keywords are set to be 'little help classmates', 'little boy classmates', and the like; staff can wake up the word and type the operation through waking up the word and type the button in the assistant's touch-sensitive screen. In the input process, after a worker presses a wakeup word input key, the assistant prompts to input a text of the wakeup word, and after pressing a confirmation key, the assistant automatically updates the text into the wakeup word, so that the wakeup word input operation is completed. Note that the wakeup word entry portion is only open to the staff, so the staff is required to enter an assistant's account and password before entry.
S2, after the equipment is awakened, the function introduction is played, the user is reminded of the function selection of voice recognition or image recognition through voice, and the user inputs an instruction through voice after the voice prompt is finished; if the device is awakened when in use, the function introduction prompt tone is not played repeatedly, and the function module is selected directly.
S3, if the voice input is selected, the equipment identifies the voice input by the user; if image recognition is selected, starting a high-definition camera, displaying a detection area on a display, reminding a user to put garbage into the recognition area and reminding the user to press a photographing key for recognition and classification;
and S4, querying the database to return an identification result and informing the user of the garbage type and the corresponding garbage can.
The voice recognition module converts the voice of the user into a Chinese text list, and queries and matches the text list with the garbage Chinese name in the database table; and the garbage detection and identification module returns garbage in the image to an English list and inquires and matches the text list with garbage English names in the database table.
In particular, during step S4, there are several cases involved:
(1) if the garbage types are not inquired for many times, prompting a user to put the garbage into a designated area and waiting for manual treatment;
(2) if the result is inquired, automatically opening the corresponding garbage can with the capacity not full, and reminding the user to put in the garbage can;
(3) if the corresponding garbage can is full under a certain classification, the garbage can is not opened, and a user is informed that the garbage can is full, and is reminded to put the garbage into a designated area;
(4) after the user puts in the rubbish, the dustbin is automatically closed, and the user is inquired whether to identify again; if the voice command is finished, the equipment enters a dormant stage and waits for the next awakening; if the voice command is continued, the process returns to S2 to continue execution.
The invention adopts a modular structure form, and the whole functions are divided into an image acquisition module, a voice recognition module, a garbage detection recognition module, a hardware driving module and a database module. The user awakens the equipment through the keyword, and after awakening, the user enters the corresponding voice recognition module or the image recognition module according to the voice command of the user to recognize the garbage type, feeds back the recognized garbage type result, automatically opens and closes the corresponding garbage can, is relatively simple to operate, and can provide certain guidance for the user.
The invention combines the voice recognition and image processing technology to realize the garbage classification function, has high automation degree, and can guide the user by the equipment after the equipment is awakened by the keyword when the citizen needs to discard the garbage, thereby facilitating the classification and recovery of the garbage, enhancing the awareness of the citizen in garbage classification and the understanding of the garbage classification rule, and being convenient to use.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (7)
1. An intelligent garbage classification device, comprising:
the voice recognition module is used for recognizing the voice command of the user;
the image acquisition preprocessing module is used for acquiring garbage images in the detection area;
the garbage detection and identification module is used for identifying the garbage types in the collected garbage images;
the hardware peripheral module is used for realizing voice acquisition and broadcasting, garbage detection area and standby animation display, garbage can capacity data acquisition and opening and closing of the garbage can;
and the database module is used for storing the related information of the garbage types and the names.
And the central processing module is connected with the voice recognition module, the image acquisition preprocessing module, the garbage detection recognition module, the hardware peripheral module and the database module.
2. The intelligent garbage classification device according to claim 1, wherein the image acquisition preprocessing module comprises a high-definition camera and a raspberry pi, the high-definition camera realizes real-time acquisition of garbage images in the detection area and transmits image data to a garbage detection and identification module in the raspberry pi through a USB transmission line; the image is pre-processed before it is transmitted.
3. The intelligent garbage classification device as claimed in claim 1, wherein the garbage detection recognition module adopts a garbage detection recognition model trained by YOLOv3 algorithm to recognize four types of garbage, kitchen garbage, recyclable garbage, harmful garbage and other garbage, and the training process adopts YOLOv3 of Darknet version.
4. The intelligent garbage classification device of claim 1, wherein the hardware peripheral module comprises a small microphone, a small sound box, a display touch screen, a ZigBee coordinator, a motor, an ultrasonic distance measurement sensor and a raspberry pi; the raspberry pie is connected with other hardware peripherals, is externally provided with a USB sound card and is connected with a small microphone, and is used for collecting a user voice instruction; the miniature sound box is connected with the raspberry group audio output port and plays a prompt tone and an identification result; the display touch screen is connected with the raspberry through an HDMI line, plays animation in the standby and detection processes of the equipment, and displays a picture during image detection; the ZigBee coordinator is connected with the raspberry group through an RS232 serial port line, collects terminal node information and sends a control command from the equipment; the motor and the ultrasonic ranging sensor are arranged inside the garbage can, so that the opening and closing of the garbage can and the real-time measurement of the capacity of the garbage can are realized.
5. The intelligent garbage classification device of claim 1 wherein the database module is a MySQL database.
6. An intelligent garbage classification method, which adopts the intelligent garbage classification device as claimed in claim 1, and is characterized by comprising the following steps:
s1, waking up the intelligent garbage classification device by the user through the voice keywords;
s2, after the equipment is awakened, the function introduction is played, the user is reminded of the function selection of voice recognition or image recognition through voice, and the user inputs an instruction through voice after the voice prompt is finished;
s3, if the voice input is selected, the equipment identifies the voice input by the user; if image recognition is selected, starting a high-definition camera, displaying a detection area on a display, reminding a user to put garbage into the recognition area and reminding the user to press a photographing key for recognition and classification;
and S4, querying the database to return an identification result and informing the user of the garbage type and the corresponding garbage can.
7. The intelligent garbage classification method according to claim 6, wherein in the step S4, the method includes the following steps:
(1) if the garbage types are not inquired for many times, prompting a user to put the garbage into a designated area and waiting for manual treatment;
(2) if the result is inquired, automatically opening the corresponding garbage can with the capacity not full, and reminding the user to put in the garbage can;
(3) if the corresponding garbage can is full under a certain classification, the garbage can is not opened, and a user is informed that the garbage can is full, and is reminded to put the garbage into a designated area;
(4) after the user puts in the rubbish, the dustbin is automatically closed, and the user is inquired whether to identify again; if the voice command is finished, the equipment enters a dormant stage and waits for the next awakening; if the voice command is continued, the process returns to S2 to continue execution.
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