CN114545813A - Intelligent sorting garbage can - Google Patents
Intelligent sorting garbage can Download PDFInfo
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- CN114545813A CN114545813A CN202210031249.3A CN202210031249A CN114545813A CN 114545813 A CN114545813 A CN 114545813A CN 202210031249 A CN202210031249 A CN 202210031249A CN 114545813 A CN114545813 A CN 114545813A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
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Abstract
The invention provides an intelligent sorting garbage can, which belongs to the technical field of garbage cans and comprises a control module; the control module is connected with a PWM steering engine driving module, an infrared sensor module, an AI recognition module and a display module; the AI identification module transmits information to the control module after image identification, the control module generates a driving command and sends the driving command to the PWM steering engine driving module, and the steering engine driving module controls the operation of the steering engine and controls the two-degree-of-freedom platform connected with the steering engine to incline towards the corresponding direction so that garbage is poured into the corresponding garbage can. The garbage image recognition system realizes image recognition of garbage by using the raspberry and other expansion modules, and realizes the effect of intelligently classifying the garbage by combining a steering engine device; meanwhile, the quantity of garbage thrown into the garbage bin and the full-load function of the alarm garbage bin can be counted through code compiling and the infrared sensing module, and the quantity of garbage in each garbage bin and the full-load condition of the garbage bin can be synchronously displayed through the display screen.
Description
Technical Field
The invention relates to the technical field of garbage cans, in particular to an intelligent sorting garbage can.
Background
For the closed type garbage can, a cleaner cannot conveniently know the full loading condition of the garbage in the garbage can, and the garbage can is likely to overflow. At present commercial response garbage bin of uncapping can't realize functions such as rubbish classification, categorised result voice broadcast, both possessed basic rubbish and acceptd the level, do not have help to rubbish classification. The induction uncovering type garbage bin can not automatically contain and classify garbage, and a large amount of garbage needs to be thrown.
Disclosure of Invention
The invention aims to provide an intelligent sorting garbage can which effectively realizes image recognition and garbage classification by combining a raspberry group with an AI (Artificial intelligence) integrated module and realizes garbage quantity statistics and full-load alarm functions by matching with an infrared sensing module so as to solve at least one technical problem in the background technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an intelligent sorting garbage can, which comprises:
a control module;
the control module is connected with a PWM steering engine driving module, an infrared sensor module, an AI recognition module and a display module;
the AI identification module transmits information to the control module after image identification, the control module generates a driving command and sends the driving command to the PWM steering engine driving module, and the steering engine driving module controls the operation of the steering engine and controls the two-degree-of-freedom platform connected with the steering engine to incline towards the corresponding direction so that garbage is poured into the corresponding garbage can.
Preferably, the display device further comprises a first power supply module and a second power supply module, wherein the first power supply module is used for supplying power to the control module, and the second power supply module is used for supplying power to the display module.
Preferably, the control module is a raspberry pi controller.
Preferably, the PWM steering engine driving module is a PWM steering engine driving module PCA 9685.
Preferably, the AI identification module is a built-in core processor KendryteK 210.
Preferably, the display module is connected with the control module, and is used for displaying whether the garbage bin is fully loaded or not, and the voice information of the control module is output through the display screen.
Preferably, the infrared induction module include a pair of infrared emission pipe and receiver tube, the emission pipe transmission infrared ray, when the detection direction meets the barrier, the infrared ray is reflected back and is received by the receiver tube, after comparator circuit processing, green pilot lamp can light, signal output interface output digital signal simultaneously, accessible potentiometre knob adjusts detection distance.
The invention has the beneficial effects that: the image recognition of the garbage is realized by utilizing the raspberry and other expansion modules, and the intelligent garbage classification effect is realized by combining a steering engine device; meanwhile, the quantity of garbage thrown into the garbage can be counted and the full-load function of the alarm garbage can be realized through code compiling and the infrared sensing module.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a functional schematic block diagram of an intelligent sorting trash can according to an embodiment of the present invention.
Fig. 2 is a circuit diagram of an infrared sensor module of an intelligent sorting trash can according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by way of the drawings are illustrative only and are not to be construed as limiting the invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the description of the present specification, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the description of the present specification, the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, only for convenience of description and simplification of description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present technology.
Unless expressly stated or limited otherwise, the terms "mounted," "connected," "coupled," and "disposed" are intended to be inclusive and mean, for example, that they may be fixedly coupled or disposed, or that they may be removably coupled or disposed, or that they may be integrally coupled or disposed. The specific meaning of the above terms in the present technology can be understood by those of ordinary skill in the art as appropriate.
For the purpose of facilitating an understanding of the present invention, the present invention will be further explained by way of specific embodiments with reference to the accompanying drawings, which are not intended to limit the present invention.
It will be appreciated by those skilled in the art that the drawings are merely schematic representations of embodiments and that the elements in the drawings are not necessarily required to practice the present invention.
Examples
The raspberry group is a microcomputer mainboard based on an ARM, an SD/MicroSD card is used as a memory hard disk, 1/2/4 USB interfaces and a 10/100 Ethernet interface (A type does not have a network port) are arranged around the mainboard of the card, the mainboard can be connected with a keyboard, a mouse and a network cable, a television output interface and an HDMI high-definition video output interface of video analog signals are simultaneously provided, all the components are integrated on a mainboard which is only slightly larger than a credit card, and the basic functions of all PCs are achieved. Through carrying out code programming on raspberry group to collocation corresponding camera module, steering wheel module and infrared induction module, can realize garbage bin intelligent classification's effect. In the process, the raspberry group plays a brain-like role and controls other modules to execute corresponding operations.
In this embodiment, based on above-mentioned raspberry group controller, provide one kind and can realize rubbish automatic classification's intelligent garbage bin through image recognition, raspberry group controller connects other modules, includes: PWM steering wheel drive module PCA9685 and infrared sensor module, AI identification module, the raspberry group passes through the HDMI and connects the display simultaneously. The power supply is realized by adopting double power supplies, one 5V-3A power supply is used for supplying power to the raspberry, the other 12V power supply is used for supplying power to the display, and the USB interface on the raspberry is connected with a Bluetooth mouse and a Bluetooth keyboard USB interface, so that the virtual desktop on the display can be directly operated.
After image recognition is carried out through the AI recognition module, information is transmitted to the raspberry group, a Python program which is programmed and completed is operated on the raspberry group, a program command is transmitted to the PWM steering engine driving module PCA9685 connected with a serial port of the raspberry group, the steering engine driving module PCA9685 controls the angle of the 2 steering engine, the garbage type corresponding to the sequence number of the image is set in the program, and the two-degree-of-freedom platform connected with the steering engine is controlled to incline to the corresponding direction, so that garbage is poured into the corresponding garbage can. Wherein the two-degree-of-freedom platform can be controlled by a steering engine to dump 4 directions, and a corresponding garbage can is placed in each direction. Other garbage cans are placed at the display screen support, and harmful garbage cans are placed opposite to the garbage cans. Other garbage cans are placed in the other direction of the display screen support, and the kitchen garbage can is placed opposite to the display screen support.
The raspberry dispatching main controller runs a Python program, controls a display screen, an infrared sensing module and a steering engine driving module PCA 9685. And carrying out corresponding garbage classification on the image information identified by the AI identification module, and controlling a steering engine through the PCA9685, wherein the steering engine controls the inclination direction and the inclination angle of the two-degree-of-freedom platform.
The AI identification module: the built-in kernel processor KendryteK210 is a system on chip (SoC) integrating machine vision and machine hearing capabilities, mainly provides an artificial intelligence solution, has a machine vision capability, and is a zero threshold machine vision embedded solution. It can perform convolutional neural network calculation under the condition of low power consumption. The core function of the K210 is machine vision and hearing, and the KPU used for calculating the convolution artificial neural network and the APU used for processing the microphone array input can be well matched with the raspberry pi.
The display screen: the HDMI interfaces of the raspberry group are connected, and if the display screen is a VGA interface, an HDMI-to-VGA line is needed. Broadcast the video of trash classification propaganda on the display screen, show that whether the garbage bin is full-loaded, the condition such as rubbish quantity in each garbage bin. The raspberry group is sent to the display screen through the HDMI, and finally voice information is output through the display screen.
The infrared induction module is characterized in that: TCRT5000 tracking module, this sensor module is strong to environment light adaptability, it has a pair of infrared emission and receiver tube, the infrared ray of certain frequency is launched to the transmitter tube, when detection direction runs into barrier (plane of reflection), the infrared ray reflects back and is received by the receiver tube, after comparator circuit handles, green pilot lamp can light, signal output interface output digital signal (a low level signal) simultaneously, the detection distance is adjusted to accessible potentiometre knob, effective distance scope 2 ~ 30cm, operating voltage is 3.3V-5V. The detection distance of the sensor can be adjusted through a potentiometer, and the sensor has the characteristics of small interference, convenience in assembly, convenience in use and the like, and can be widely applied to a plurality of occasions such as robot obstacle avoidance, obstacle avoidance trolleys, assembly line counting, black and white line tracking and the like.
As shown in fig. 2, the operating principle of the infrared sensing module is as follows: an infrared emitting diode (1-2) of the sensor continuously emits infrared rays, when the emitted infrared rays are not reflected back or are reflected back but the intensity is not large enough, a phototriode (3-4) is always in an off state, at the moment, the output end (pin 1) of the module is at a low level, and the indicating diode is always in an off state; when the detected object appears in the detection range, the infrared ray is reflected back, the intensity is high enough, the phototriode is saturated, the output end of the module is at a high level, and the indicating diode is lightened. The full-load detection device is placed at the top of the wall of the garbage can, and can be used for detecting whether the garbage can is full-load or not.
The PWM rudder machine control module is characterized in that: PCA9685, using I2C communication, supports up to 16 PWM outputs with 12-bit resolution per output.
The PCA9685 is connected with the raspberry pi and the steering engine sg90, and the PCA9685 can get electricity from the raspberry pi without additional power supply. The Adafruit _ Python _ PCA9685 library can be used in the raspberry pi to drive the steering engine, and the program core statement is date ═ int (4096 [ ("angle × 11) +500)/20000+ 0.5).
In summary, the intelligent sorting trash can in the embodiment of the invention adopts the infrared sensing technology, detects full load of the trash can in real time through the infrared sensing module, gives an alarm, and returns the number of times of full load of the trash in real time on the Python program.
Utilize AI identification module to realize waste classification, possess artificial intelligence solution and machine vision ability to can realize the deep learning function. With steering wheel drive module PCA9685 collaborative work, can realize dumping respectively of rubbish into the bucket behind the discernment rubbish. A raspberry pie is used as a main controller, a Python program is operated, a display screen, an infrared sensing module and a steering engine driving module PCA9685 are controlled.
The recognition of different garbage can be well realized through the deep learning of dozens of pictures of the AI recognition module, so that the garbage recognition result is more accurate. The garbage can be respectively poured into the garbage can after the garbage is identified, the garbage classification is realized, and the manpower is greatly saved. The full-load condition of real-time supervision, infrared sensor module are used for monitoring the garbage bin and are full-load to report to the police, avoid the garbage bin overfill, send the warning simultaneously, remind the cleanup crew in time to clear up. The garbage bin is characterized in that the garbage quantity and the full load condition in the garbage bin are displayed on the display screen simultaneously, when the garbage bin is dumped, garbage classification propaganda video can be played on the display screen through the voice broadcast of the display screen, and the garbage classification knowledge popularization effect is achieved.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts based on the technical solutions disclosed in the present invention.
Claims (7)
1. The utility model provides an intelligence letter sorting garbage bin which characterized in that includes:
a control module;
the control module is connected with a PWM steering engine driving module, an infrared sensor module, an AI recognition module and a display module;
the AI identification module transmits information to the control module after image identification, the control module generates a driving command and sends the driving command to the PWM steering engine driving module, and the steering engine driving module controls the operation of the steering engine and controls the two-degree-of-freedom platform connected with the steering engine to incline towards the corresponding direction so that garbage is poured into the corresponding garbage can.
2. The intelligent sorting trash can of claim 1, further comprising a first power module and a second power module, the first power module being configured to supply power to the control module, and the second power module being configured to supply power to the display module.
3. The intelligent sorting trash can of claim 1, wherein the control module is a raspberry pi controller.
4. The intelligent sorting trash can of claim 1, wherein the PWM steering engine driving module is a PWM steering engine driving module PCA 9685.
5. The intelligent sorting trash can of claim 1, wherein the AI identification module, a built-in core processor KendryteK 210.
6. The intelligent sorting trash can of claim 1, wherein the display module is connected with the control module to display whether the trash can is fully loaded or not, and voice information of the control module is output through the display screen.
7. The intelligent sorting trash can of claim 1, wherein the infrared sensing module comprises a pair of infrared emitting tubes and receiving tubes, the emitting tubes emit infrared rays, when the detection direction meets an obstacle, the infrared rays are reflected back to be received by the receiving tubes, after being processed by the comparator circuit, the green indicator light is turned on, meanwhile, the signal output interface outputs digital signals, and the detection distance can be adjusted through the potentiometer knob.
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| CN202210031249.3A CN114545813A (en) | 2022-01-12 | 2022-01-12 | Intelligent sorting garbage can |
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| CN202210031249.3A CN114545813A (en) | 2022-01-12 | 2022-01-12 | Intelligent sorting garbage can |
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| KR20200068853A (en) * | 2018-12-06 | 2020-06-16 | 문종민 | Smart trash bin, Management system and method for the same |
| CN112830129A (en) * | 2021-03-05 | 2021-05-25 | 湘潭大学 | Scenic spot rubbish intelligent classification system |
| CN213621558U (en) * | 2020-11-27 | 2021-07-06 | 西安漫威智能科技有限公司 | Intelligent garbage classification device |
| CN113213005A (en) * | 2021-04-26 | 2021-08-06 | 长春工程学院 | Automatic change refuse classification processing apparatus |
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- 2022-01-12 CN CN202210031249.3A patent/CN114545813A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20200068853A (en) * | 2018-12-06 | 2020-06-16 | 문종민 | Smart trash bin, Management system and method for the same |
| CN111099198A (en) * | 2020-01-02 | 2020-05-05 | 上海师范大学 | Intelligent garbage classification barrel |
| CN111186656A (en) * | 2020-01-10 | 2020-05-22 | 上海电力大学 | Target garbage classification method and intelligent garbage can |
| CN213621558U (en) * | 2020-11-27 | 2021-07-06 | 西安漫威智能科技有限公司 | Intelligent garbage classification device |
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