Intelligent classification garbage can

Abstract

The invention provides an intelligent classification garbage can, and relates to the technical field of garbage volume. The garbage can comprises a frame body, a rotating mechanism, an image recognition mechanism, a conveying mechanism and a controller, and the rotating mechanism, the image recognition mechanism and the conveying mechanism are arranged in the frame body. The rotating mechanism comprises a rotating disc and a first motor, a plurality of barrels are placed on the rotating disc, and the first motor drives the rotating disc to rotate. The controller is connected with the rotating mechanism, the image recognition mechanism and the conveying mechanism, the controller recognizes garbage types through the image recognition mechanism and controls the first motor to drive the corresponding can body to rotate to a proper position, and the conveying mechanism conveys the garbage into the can body. Through cooperation of the rotating mechanism, the image recognition mechanism and the conveying mechanism, garbage can be automatically classified, conveyed and stored, and the garbage classification accuracy and efficiency are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage containers, and in particular to an intelligent classification garbage can. Background Art

[0002] The way of garbage disposal has changed from simple landfill and incineration to more and more attention paid to the classification, harmlessness and resource utilization of garbage disposal, which has promoted the development of environmental remediation in my country. Among them, garbage classification is an important part of garbage disposal. Implementing garbage classification can reduce the amount of garbage, avoid potential pollution, and protect the ecological environment. Secondly, garbage can be used comprehensively to produce new products, promote resource recycling, obtain higher economic benefits, and is conducive to improving the quality of the nation, promoting social civilization, and achieving the common development of ecological benefits, economic benefits and social benefits.

[0003] However, when sorting garbage in households and public welfare, manual selection and classification of garbage is required. However, due to unfamiliarity or negligence with the types of garbage, inaccurate classification can easily occur, which not only consumes a large amount of human resources, but also results in errors in manual identification of garbage, resulting in poor accuracy and efficiency in garbage sorting. Summary of the invention

[0004] In view of the above-mentioned current method of manually classifying garbage, there are problems such as large consumption of human resources, errors in identifying garbage, and poor accuracy and efficiency of garbage classification. The present invention provides an intelligent classification garbage can.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] An intelligent classification trash can includes a frame, a rotating mechanism, an image recognition mechanism, a transmission mechanism and a controller. The rotating mechanism, the image recognition mechanism and the transmission mechanism are arranged in the frame; the rotating mechanism includes a turntable and a first motor, a plurality of barrels are placed on the turntable, and the first motor is connected to the turntable to drive the turntable and the barrels to rotate. The controller is respectively connected to the rotating mechanism, the image recognition mechanism and the transmission mechanism. The image recognition mechanism is used to identify the type of garbage and transmit a signal to the controller. The controller pre-stores information corresponding to the type of garbage and each of the barrels, and after the correspondence, controls the first motor to drive the barrel to rotate to the exit position adjacent to the transmission mechanism, and the transmission mechanism transports the garbage into the barrel of the corresponding type of garbage.

[0007] Furthermore, the rotating mechanism also includes a support plate, a thrust bearing and a rotating wheel, the support plate is fixedly connected to the frame, the thrust bearing is arranged on the top of the support plate, the rotating wheel is arranged between the support plate and the thrust bearing, and the first motor is connected to the rotating wheel through a belt.

[0008] Furthermore, the conveying mechanism is fixed in the frame through a supporting plate and is located above each barrel body. One side of the supporting plate has a notch located above the opening of the barrel body, and the delivery port of the conveying mechanism is adjacent to the notch.

[0009] Furthermore, the conveying mechanism includes a second motor, a conveyor belt and a roller. The second motor is connected to the roller via a belt and drives the conveyor belt to rotate.

[0010] Furthermore, the image recognition mechanism is located above the transmission mechanism and is fixedly connected to the frame.

[0011] Furthermore, a display screen is provided, which is fixed on one side of the frame and connected to the controller, and is used to display garbage classification information.

[0012] Furthermore, an overflow detection mechanism is provided at the bottom of the support plate, the overflow detection mechanism is connected to the display screen, and the overflow detection mechanism is provided with four infrared detection heads, each of which is located above the opening of each barrel body.

[0013] Furthermore, when the infrared detection head detects that the garbage in the barrel is full, it is displayed on the display screen.

[0014] Furthermore, the barrels are evenly arranged along the circumference of the turntable.

[0015] The beneficial effects of the present invention are as follows: the present invention can automatically identify the type of garbage thrown in and can correctly put it into the corresponding barrel through the cooperation of the rotating mechanism, the image recognition mechanism and the transmission mechanism, thereby completing the classification, transportation and storage of the garbage. The whole process can be completed automatically without manual labor, which not only saves human resources, but also significantly improves the accuracy and efficiency of garbage classification. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Shown is a schematic diagram of the structural principle of an embodiment of the present invention.

[0017] Figure 2 Shown Figure 1 Front view of .

[0018] Figure 3 Shown Figure 1Side view of .

[0019] Figure 4 Shown Figure 1 Top view of the .

[0020] Explanation of the accompanying drawings: 1. frame; 2. turntable; 3. support plate; 4. first motor; 5. barrel; 6. support plate; 7. conveyor belt; 8. second motor; 9. image recognition module; 10. display screen. DETAILED DESCRIPTION

[0021] The present invention discloses an intelligent classification trash can, and an implementation mode of the present invention is described in detail below in conjunction with the accompanying drawings.

[0022] like Figure 1 As shown, an intelligent classification trash can includes a frame 1, a rotating mechanism, an image recognition mechanism 9, a transmission mechanism and a controller. The frame 1 is a frame structure as a whole. The rotating mechanism, the image recognition mechanism 9 and the transmission mechanism are arranged in the frame 1. The controller is connected to the rotating mechanism, the image recognition mechanism 9 and the transmission mechanism respectively. The rotating mechanism includes a turntable 2, a support plate 3, a thrust bearing, a rotating wheel and a first motor 4. The support plate 3 is located at the bottom of the frame 1 and is fixedly connected to the frame 1. The bottom of the thrust bearing is fixedly connected to the support plate 3, and the top is fixedly connected to the rotating wheel. The turntable 2 is fixedly connected to the top of the rotating wheel. A plurality of barrels 5 are arranged on the top of the turntable 2. Each barrel 5 is evenly arranged along the circumference of the turntable 2 and is detachably connected to the turntable 2. The first motor 4 is fixed to one side of the bottom of the frame 1. The first motor 4 is connected to a rotating shaft through a reducer. The rotating shaft is connected to the rotating wheel through a belt, driving the turntable 2 and each barrel 5 to rotate. The first motor 4 reduces the speed and increases the torque through the reducer to drive the rotating shaft to drive the turntable 2 and the barrel 5 to rotate slowly and smoothly. An angle sensor is installed on the rotating shaft to control the rotation angle of the rotating shaft. The angle sensor feeds back the real-time rotation angle information of the barrel 5 to the controller. When the controller receives the garbage classification instruction from the image recognition mechanism 9, it accurately controls the operation of the first motor 4 according to the preset rotation angle value of the barrel 5, so that the corresponding barrel 5 opening is accurately aligned with the outlet of the conveyor belt 7, which is used to achieve accurate garbage delivery. In this embodiment, there are four types of barrels 5, namely, recyclable barrels, hazardous waste barrels, kitchen waste barrels and other garbage barrels.

[0023] Combination Figure 2 and Figure 3As shown, a support plate 6 is fixedly connected to the frame 1, and the support plate 6 is located above each barrel body 5. One side of the support plate 6 has a notch located above the opening of the barrel body 5. The conveying mechanism is fixedly connected to one side of the support plate 6. The conveying mechanism includes a second motor 8, a conveyor belt 7 and a roller. The second motor 8 is connected to the roller through a belt, and drives the conveyor belt 7 to rotate to transport garbage. The conveying port of the conveying mechanism is adjacent to the notch of the support plate 6. The second motor 8 adopts a high-precision speed control system, which can achieve precise adjustment of the speed of the second motor 8. The speed control system is based on the closed-loop feedback principle. The speed of the second motor 8 is monitored in real time by an encoder installed on the shaft of the second motor 8, and the speed signal is fed back to the controller. The controller compares the preset conveyor belt 7 speed value with the actual feedback speed, and adjusts the driving voltage or current of the second motor 8 to achieve precise control of the speed of the second motor 8. For example, when heavier garbage items need to be transported, the controller can appropriately increase the output power and rotation speed of the second motor 8 to ensure that the conveyor belt 7 can smoothly drive the heavier garbage to move; when transporting lighter garbage, the rotation speed of the second motor 8 is reduced to save energy and reduce the wear of the conveyor belt 7.

[0024] like Figure 4 As shown, the image recognition mechanism 9 is located above the conveying mechanism and is fixedly connected to the frame 1. The image recognition mechanism 9 includes a camera and a "Raspberry Pi" microcomputer motherboard. The camera has the ability to switch between multiple image modes and can be applied to image recognition in complex environments. For example, in a high temperature environment, some garbage may undergo subtle changes in color and shape due to heat. At this time, by selecting a suitable image mode (such as a negative image mode that may help highlight the contour features of the object), the characteristic information of the garbage can be more accurately extracted. A deep learning model is deployed on the motherboard of the "Raspberry Pi" microcomputer. The deep learning model uses a convolutional neural network (CNN) architecture. During the model training phase, a large amount of garbage image data covering various types, shapes, colors and materials was collected and finely labeled. The images were trained on the edge impulse server. Through multiple iterations of training, the deep learning model continuously optimized the weight parameters and learned the unique visual features of different garbage categories. For example, for plastic garbage, the deep learning model can recognize its smooth surface texture, specific color distribution and common shape features (such as the cylindrical shape of plastic bottles); for paper, the deep learning model focuses on its light texture, relatively regular plane shape and white or colored printed patterns. This garbage recognition method based on deep learning has high accuracy and adaptability, and can quickly and accurately classify and identify garbage in actual use.

[0025] A display screen 10 is provided on one side of the upper part of the frame 1, and the display screen 10 is connected to the controller. The display screen 10 is not only used to display the garbage identification results and the status information of the barrel 5, but also has certain interactive functions. The driving circuit of the display screen 10 can quickly respond to the display instructions sent by the "Raspberry Pi" microcomputer motherboard, and present various types of information to the user in the form of clear and intuitive graphics and text. For example, when the garbage is successfully identified and classified, the display screen 10 will display a prompt message "The garbage has been successfully classified", and at the same time, the process of the garbage falling into the corresponding barrel 5 will be displayed in the form of animation, enhancing the user's intuitive feeling and use experience.

[0026] In addition, the display screen 10 also supports touch operation, and the user can query the instructions for use, the classification guide of common garbage, the location of nearby garbage recycling stations, etc. by touching the icons or menu options on the screen. This interactive function makes the present invention not only a simple garbage collection container, but also an intelligent terminal device for popularizing environmental protection knowledge and providing convenient services.

[0027] An overflow detection mechanism is provided at the bottom of the support plate 6, and the overflow detection mechanism is connected to the display screen 10. The overflow detection mechanism is provided with four infrared detection heads, each of which is located above the opening of each barrel body 5, and is used to detect the degree of overfilling of garbage in each barrel body 5. When the barrel body 5 easily reaches a suitable height, it can be displayed on the display screen 10 to remind the user to clean or replace the barrel body 5 in time.

[0028] The controller is respectively connected to the image recognition mechanism 9, the first motor 4, the second motor 8, the display screen 10 and the overflow detection mechanism.

[0029] When the user throws the garbage into the trash can from the delivery port, the garbage falls onto the conveyor belt 7 of the conveying mechanism. The camera of the image recognition mechanism 9 will immediately capture the image of the garbage. The camera automatically selects the most suitable image mode for acquisition according to the current environmental conditions. For example, under strong light, the grayscale image mode may be selected to reduce the interference of reflection on the image; in a low-light environment, it switches to the RGB color image mode and appropriately increases the sensitivity to ensure that the image is clear and discernible. The collected image data is transmitted to the "Raspberry Pi" microcomputer motherboard in real time through a high-speed transmission line for processing.

[0030] After receiving the image data, the Raspberry Pi microcomputer motherboard starts the built-in garbage recognition algorithm and pre-trained deep learning model. The deep learning model is trained based on a large number of garbage image samples and can accurately identify various common types of garbage. By extracting, analyzing and comparing image features, the type of garbage can be quickly determined, such as identifying paper, plastic bottles, etc. as recyclables, used batteries as hazardous waste, and leftovers as kitchen waste. Once the garbage category is determined, the Raspberry Pi microcomputer motherboard sends the classification decision information to the controller, which is responsible for coordinating the subsequent transmission and rotation of the garbage bin.

[0031] According to the instructions of the "Raspberry Pi" microcomputer motherboard, the controller first starts the 36V second motor 8 of the transmission mechanism, and the second motor 8 drives the conveyor belt 7 to rotate through the belt, and smoothly transmits the garbage just put in to the corresponding classification barrel 5. At the same time, the controller controls the first motor 4 to drive the turntable 2 and each barrel 5 to rotate, so that the barrel 5 corresponding to the type of garbage rotates to the bottom of the gap of the support plate 6, which can facilitate the conveyor belt 7 to drive the garbage from the gap into the corresponding barrel 5. If the image recognition mechanism 9 recognizes that the garbage is recyclable, it will rotate the recyclable barrel 5 to the bottom of the gap, and the conveyor belt 7 drives the recyclable garbage to accurately fall into the recyclable barrel 5, completing the accurate classification and delivery in sequence. The entire transmission and rotation process is rapid and accurate, which can ensure that different types of garbage enter their corresponding barrels 5 in an orderly manner to avoid confusion and cross contamination.

[0032] The overflow detection mechanism works continuously, and the four infrared detection heads continuously emit infrared rays and receive reflected signals. When the garbage accumulation height in the barrel 5 gradually rises and approaches or reaches the preset overflow threshold, the reflected signal detected by the infrared detection head will change significantly. At this time, the infrared detection head transmits the signal to the "Raspberry Pi" microcomputer motherboard. After processing, the "Raspberry Pi" microcomputer motherboard displays a prompt message that the trash can is full on the display screen 10, and can send the overflow status to the relevant management system or the staff's mobile device through the wireless communication module Wi-Fi or Bluetooth, so as to arrange cleaning and maintenance work in time, and ensure that each barrel 5 is always in a normal and usable state. In this embodiment, Bluetooth uses high-speed frequency hopping FH and time division multiple access TD to establish information transmission between multiple communication and information systems, which improves the stability and anti-interference of signal transmission and reduces radiation.

[0033] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by technicians in this technical field within the essential scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. An intelligent classification trash can, characterized by: The invention comprises a frame (1), a rotating mechanism, an image recognition mechanism (9), a transmission mechanism and a controller, wherein the rotating mechanism, the image recognition mechanism (9) and the transmission mechanism are arranged in the frame (1); the rotating mechanism comprises a turntable (2) and a first motor (4), wherein a plurality of barrels (5) are placed on the turntable (2), and the first motor (4) is connected to the turntable (2) and is used to drive the turntable (2) and each barrel (5) to rotate; the controller is respectively connected to the rotating mechanism, the image recognition mechanism (9) and the transmission mechanism, wherein the image recognition mechanism (9) is used to identify the type of garbage and transmit a signal to the controller, wherein the controller pre-stores information corresponding to the type of garbage and each barrel (5), and after the correspondence, controls the first motor (4) to drive the barrel (5) to rotate to a position adjacent to the exit of the transmission mechanism, and the transmission mechanism transports the garbage into the barrel (5) of the corresponding type of garbage.

2. The intelligent classification trash can according to claim 1, characterized in that: The rotating mechanism also includes a support plate (3), a thrust bearing and a rotating wheel. The support plate (3) is fixedly connected to the frame (1), the thrust bearing is arranged on the top of the support plate (3), the rotating wheel is arranged between the support plate (3) and the thrust bearing, and the first motor (4) is connected to the rotating wheel via a belt.

3. The intelligent classification trash can according to claim 1, characterized in that: The conveying mechanism is fixed in the frame (1) through a support plate (6) and is located above each barrel body (5). One side of the support plate (6) has a notch located above the opening of the barrel body (5), and the delivery port of the conveying mechanism is adjacent to the notch.

4. The intelligent classification trash can according to claim 3 is characterized by: The conveying mechanism comprises a second motor (8), a conveyor belt (7) and a roller; the second motor (8) is connected to the roller via a belt and drives the conveyor belt (7) to rotate.

5. The intelligent classification trash can according to claim 1, characterized in that: The image recognition mechanism (9) is located above the transmission mechanism and is fixedly connected to the frame (1).

6. The intelligent classification trash can according to claim 3, characterized in that: A display screen (10) is provided, the display screen (10) is fixed on one side of the frame (1) and connected to the controller, and the display screen (10) is used to display garbage classification information.

7. The intelligent classification trash can according to claim 6, characterized in that: An overflow detection mechanism is provided at the bottom of the support plate (6), the overflow detection mechanism is connected to the display screen (10), and the overflow detection mechanism is provided with four infrared detection heads, each of which is located above the opening of each barrel body (5).

8. The intelligent classification trash can according to claim 7, characterized in that: When the infrared detection head detects that the barrel (5) is full of garbage, it is displayed on the display screen (10).

9. The intelligent classification trash can according to claim 1, characterized in that: The barrel bodies (5) are evenly arranged along the circumference of the turntable (2).

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