CN111559586A - Household intelligent garbage classification and identification system and method - Google Patents
Household intelligent garbage classification and identification system and method Download PDFInfo
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- CN111559586A CN111559586A CN202010355630.6A CN202010355630A CN111559586A CN 111559586 A CN111559586 A CN 111559586A CN 202010355630 A CN202010355630 A CN 202010355630A CN 111559586 A CN111559586 A CN 111559586A
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- 240000007651 Rubus glaucus Species 0.000 abstract description 14
- 235000011034 Rubus glaucus Nutrition 0.000 abstract description 14
- 235000009122 Rubus idaeus Nutrition 0.000 abstract description 14
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 235000013361 beverage Nutrition 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
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- 238000006731 degradation reaction Methods 0.000 description 1
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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
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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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
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of 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
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
- B65F2001/008—Means for automatically selecting the receptacle in which refuse should be placed
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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
- B65F2210/128—Data transmitting means
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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
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/165—Remote controls
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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
- B65F2210/176—Sorting means
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Abstract
The invention discloses an intelligent household garbage classification and identification system which comprises a raspberry zero w main control unit, a camera module, a button module and a display. After the button is pressed down, the system can control the camera module to acquire a garbage image and transmit the image to the Baidu cloud image recognition library through the Internet, then the system can receive json data of the Baidu cloud image recognition platform, then the json data is compared with the local library to distinguish four major classes of recoverable garbage, harmful garbage, kitchen garbage and other garbage, finally classification of the garbage is displayed through the display, and a user can put the garbage into a corresponding garbage can according to the content on the display; the system has high identification accuracy, can avoid the phenomenon of misconvergence and random throwing, and the identification result meets the relevant national standards and requirements.
Description
Technical Field
The invention discloses a household intelligent garbage classification and identification system and method, and relates to the technical field of intelligent home furnishing.
Background
In the face of the severe situations of resource constraint, serious environmental pollution and ecological system degradation, an ecological civilization concept which respects nature, conforms to nature and protects nature must be established, and a sustainable development road is taken. In order to respond to the national call, Shanghai formally becomes a garbage classification pilot city, but Shanghai exposes many problems in the garbage classification of this time, for example, families are not clear enough in the aspect of garbage classification identification, the garbage classification is not standard enough, the phenomenon of misdelivery and random delivery exists, and the phenomenon of non-standard and inaccurate garbage classification identification exists.
Disclosure of Invention
Aiming at the defects in the background technology, the invention provides the household intelligent garbage classification and identification system which is simple in structure and high in reliability.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a household intelligent garbage classification and identification system comprises a CPU, a camera module, a button module and a display; the video input interface of the CPU is connected with the camera module, the GPIO ends of the CPU are connected with the button module, and the video input interface of the CPU is connected with the display;
the camera module is used for taking pictures of garbage and acquiring image information;
the button module is used for controlling the camera module to shoot;
the CPU is used for uploading image information acquired by the camera module to the Baidu cloud image identification platform and receiving information feedback of the platform; comparing the feedback information with a local word stock of the CPU to obtain a result;
the display is used for displaying the garbage classification result.
Further, the CPU is a raspberry Pi zero w, and the raspberry Pi zero w uploads an image to the Baidu cloud image identification platform through the wireless WiFi module and receives information feedback of the platform.
Further, the camera module is a 500 ten thousand pixel camera of OV 5647.
Furthermore, the display is a panel on which 4 LEDs are placed, and the corresponding 4 LEDs are respectively marked by labels made of recoverable garbage, harmful garbage, kitchen garbage and other garbage.
Further, a first protection resistor is arranged between the button module and the CPU.
Further, a second protection resistor is arranged between the LED and the CPU.
A household intelligent garbage classification and identification method comprises the following steps:
establishing a household garbage identification coding library, wherein reference information codes after garbage classification are stored in the household garbage identification coding library; shooting a household garbage image through a camera to obtain household garbage image information to be identified; uploading the household garbage image information to be identified to a Baidu cloud image identification platform, identifying and acquiring a real-time image code of the household garbage image through the Baidu cloud image identification platform, comparing and classifying the acquired real-time image code with a reference information code stored in a household garbage identification code library, and transmitting an identification result generated by comparison and classification to a display for displaying.
Furthermore, the household garbage identification coding library comprises a recoverable garbage coding library, a harmful garbage coding library, a kitchen garbage coding library and other garbage coding libraries, and image codes of household garbage of the Baidu cloud image identification platform are classified and coded into four coding libraries respectively to serve as reference information codes.
Furthermore, the camera shooting distance of the camera is 50-70 cm, and the projection area of the garbage is 40-50 square cm.
After the button module is pressed down, the camera shoots a measured object and obtains image information, the image in a jpg format is stored in the raspberry group zero w, the raspberry group zero w is uploaded to the Baidu cloud image recognition platform through the built-in wireless wifi module, the signal feedback in a json format returned by the Baidu cloud image recognition platform is received, and the signal feedback is converted into a recognition result and is input to the display after being compared with the reference information code in the household garbage recognition coding library.
Has the advantages that: the invention carries out standardization and accuracy on garbage classification identification through image identification, and is convenient and easy to operate; the user can put the garbage into the corresponding garbage can according to the content on the display; the phenomenon of misconvergence is avoided; the invention has simple structure and low cost, and is suitable for household use.
Drawings
FIG. 1 is a schematic diagram of the present invention;
fig. 2 is a flow chart of the present invention.
Detailed Description
The following describes the embodiments in further detail with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, an intelligent household garbage classification and identification system includes a CPU, a camera module, a button module and a display; the CPU is a raspberry Pi zero w, the camera module is connected to a wiring groove of the raspberry Pi zero w through a wiring, one end of the button module is connected with a GND end of the raspberry Pi zero w, the other end of the button module is divided into two lines, one line is connected with a 3.3V VCC port of the raspberry Pi zero w, and the other end of the button module is connected with a GPIO port 12 pin of the raspberry Pi zero w through a 10K omega protective resistor; the display consists of a panel and four LEDs, and four kinds of garbage including recoverable garbage, harmful garbage, kitchen garbage and other garbage are written under each LED in a character marking mode; the anodes of the LED light emitting diodes respectively representing recoverable garbage, harmful garbage, kitchen garbage and other garbage are connected with a 220 omega resistor and then respectively connected with a GPIO port 23 pin, a 17 pin, a 27 pin and a 22 pin of the raspberry pie.
As shown in fig. 2, a household intelligent garbage classification and identification method includes the following steps:
establishing a household garbage identification coding library, wherein reference information codes after garbage classification are stored in the household garbage identification coding library; shooting a household garbage image through a camera to obtain household garbage image information to be identified; uploading the household garbage image information to be identified to a Baidu cloud image identification platform, identifying and acquiring a real-time image code of the household garbage image through the Baidu cloud image identification platform, comparing and classifying the acquired real-time image code with a reference information code stored in a household garbage identification code library, and transmitting an identification result generated by comparison and classification to a display for displaying.
Furthermore, the household garbage identification coding library comprises a recoverable garbage coding library, a harmful garbage coding library, a kitchen garbage coding library and other garbage coding libraries, and image codes of household garbage of the Baidu cloud image identification platform are classified and coded into four coding libraries respectively to serve as reference information codes.
Furthermore, the camera shooting distance of the camera is 50-70 cm, and the projection area of the garbage is 40-50 square cm.
When the system is used, garbage is placed in a detected area, the raspberry group zero w controls the camera to take pictures and store the pictures in a jpg format in the raspberry group zero w, the pictures are uploaded to a Baidu cloud image recognition library and are returned after being compared with a database with huge Baidu data, the raspberry group zero w continuously waits for receiving a return value, and the keywords are compared with keywords recorded in a household garbage recognition coding library (local library) by extracting the keywords after the return value is obtained; the local libraries are divided into four garbage image libraries corresponding to four types of garbage, and corresponding key words are written in each image library, for example bottled beverages and paper are written in a recyclable garbage library; batteries, paint and the like are written in the harmful garbage warehouse; the keyword will be displayed on the display if it is consistent with the keywords of the local library.
The invention carries out standardization and accuracy on garbage classification identification through image identification, and is convenient and easy to operate.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (9)
1. The household intelligent garbage classification and identification system is characterized by comprising a CPU, a camera module, a button module and a display; the video input interface of the CPU is connected with the camera module, the GPIO ends of the CPU are connected with the button module, and the video input interface of the CPU is connected with the display;
the camera module is used for taking pictures of garbage and acquiring image information;
the button module is used for controlling the camera module to shoot;
the CPU is used for uploading image information acquired by the camera module to the Baidu cloud image identification platform and receiving information feedback of the platform; comparing the feedback information with a local word stock of the CPU to obtain a result;
the display is used for displaying the garbage classification result.
2. The system of claim 1, wherein the CPU is a raspberry-zero w, and the raspberry-zero w uploads an image to the Baidu cloud image recognition platform through a wireless WiFi module and receives information feedback of the platform.
3. The intelligent household garbage classification and identification system as claimed in claim 1, wherein the camera module is 500 ten thousand pixel camera of OV 5647.
4. The system as claimed in claim 1, wherein the display comprises a panel with 4 LEDs, and the 4 LEDs are labeled with labels made of recyclable garbage, harmful garbage, kitchen garbage and other garbage.
5. The intelligent household garbage classification and identification system as claimed in claim 1, wherein a first protection resistor is arranged between the button module and the CPU.
6. The system for classifying and identifying household intelligent garbage according to claim 4, wherein a second protection resistor is arranged between the LED and the CPU.
7. The household intelligent garbage classification and identification method according to claims 1-6 is characterized by comprising the following steps:
establishing a household garbage identification coding library, wherein reference information codes after garbage classification are stored in the household garbage identification coding library; shooting a household garbage image through a camera to obtain household garbage image information to be identified; uploading the household garbage image information to be identified to a Baidu cloud image identification platform, identifying and acquiring a real-time image code of the household garbage image through the Baidu cloud image identification platform, comparing and classifying the acquired real-time image code with a reference information code stored in a household garbage identification code library, and transmitting an identification result generated by comparison and classification to a display for displaying.
8. The intelligent household garbage classification and identification method according to claim 7, wherein the household garbage identification code library comprises a recyclable garbage code library, a harmful garbage code library, a kitchen garbage code library and other garbage code libraries, and image codes of household garbage of the Baidu cloud image identification platform are classified and coded into four code libraries as reference information codes respectively.
9. The intelligent household garbage classification and identification method according to claim 7,
the camera has a camera shooting distance of 50-70 cm, and the projection area of the garbage is 40-50 square cm.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010355630.6A CN111559586A (en) | 2020-04-29 | 2020-04-29 | Household intelligent garbage classification and identification system and method |
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| CN202010355630.6A CN111559586A (en) | 2020-04-29 | 2020-04-29 | Household intelligent garbage classification and identification system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112767196A (en) * | 2021-01-15 | 2021-05-07 | 森罗云科技(广州)有限公司 | Intelligent property management information sharing platform for smart community |
| CN112866647A (en) * | 2021-01-15 | 2021-05-28 | 森罗云科技(广州)有限公司 | Intelligent property management system based on smart community |
| CN115610874A (en) * | 2022-11-02 | 2023-01-17 | 埃德布鲁城市环境科技服务(武汉)有限公司 | Intelligent garbage classification method and system |
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2020
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Application publication date: 20200821 |