Intelligent recognition and recycling system

Abstract

An intelligent recognition and recycling system, comprising: a microprocessor; an identity recognition module, electrically connected to the microprocessor and used for recognizing the identity of a user; a touch display module, electrically connected to the microprocessor and used for inputting a measurement mode; an image recognition module, electrically connected to the microprocessor and used for recognizing an object to be measured; an image database, electrically connected to the microprocessor and used for recognizing the appearance of said object; a spectrum recognition module, electrically connected to the microprocessor and used for recognizing said object; a spectrum database, electrically connected to the microprocessor; a memory module, electrically connected to the microprocessor and used for storing a learning mode; and a classification module, electrically connected to the microprocessor and used for classifying said object on the basis of a measurement result of said object.

Description

[0001] TECHNICAL FIELD: The present invention relates to waste recycling, and in particular, to an intelligent plastic and textile waste recycling system. Background: Modern people enjoy a more affluent living environment, advances in the textile industry, and a pursuit of fashionable clothing. The textile market offers a wide variety of high-quality clothing options, and consumers often purchase a wide variety of clothing from physical stores or e-commerce platforms. With changing fashion trends, many out-of-season clothing items may be discarded by consumers, becoming waste. Alternatively, multiple items may be placed in recycling bins for centralized recycling. In addition to textiles, containers or packaging materials such as plastic bottles, beverage bottles, and beverage cups also need to be recycled. However, before processing textiles such as used (or second-hand) clothing and recycled containers in recycling bins, it is necessary to understand the material of the textiles and / or the dimensions of the containers or packaging materials. This data can be used to classify the items, allowing for allocation to different uses and providing recycling subsidies for different materials. Local, small-scale processing is superior to centralized, large-scale processing, avoiding significant labor and time investment and environmental impact. SUMMARY OF THE INVENTION The primary objective of this invention is to provide an intelligent identification and recycling system. This system selects a measurement mode for the object under test, performs spectral and image measurements on the object under test, and uses intelligent algorithms to analyze material (single component or component ratio) and appearance (e.g., size) data. The object under test is then classified based on this data, thereby reducing manpower and processing time. This data is then managed and uploaded to the cloud for efficient intelligent classification of used items through optical identification. A secondary objective of this invention is to provide an intelligent identification and recycling system that utilizes an identity recognition module to identify the user. Based on the measured data of the object under test, a corresponding recycling reward is awarded, which is then distributed to the corresponding user. This is intended to increase recycling willingness and efficiency, and to promote recycling effectiveness in the areas where the recycling system is deployed.To achieve the aforementioned objectives and effects, the present invention provides an intelligent identification and recycling system, comprising: a microprocessor; an identity recognition module electrically connected to the microprocessor for identifying a user's identity; a touch display module electrically connected to the microprocessor for inputting a measurement mode; an image recognition module electrically connected to the microprocessor for identifying the dimensions and material of an object to be measured; an image database electrically connected to the microprocessor for storing the dimensions and material of the object to be measured; a spectrum recognition module electrically connected to the microprocessor for identifying the material of the object to be measured; a spectrum database electrically connected to the microprocessor for storing the material of the object to be measured; a memory module electrically connected to the microprocessor for storing a learning pattern; and a classification module electrically connected to the microprocessor for classifying the object to be measured based on the measurement results of the object to be measured. In some embodiments, the measurement mode includes measuring textile packaging materials and measuring bottles and cups. In some embodiments, the intelligent identification and recycling system further includes a transmission module and a cloud database, and the microprocessor is communicatively connected to the cloud database via the transmission module. In some embodiments, the classification module comprises a first channel, a second channel, a third channel, a fourth channel, and a fifth channel; the object to be tested is positioned above the first channel, and the second, third, fourth, and fifth channels are symmetrically arranged around the first channel. In some embodiments, the exterior of each of the second, third, fourth, and fifth channels is connected to an air inlet and outlet unit. In some embodiments, the air inlet and outlet unit comprises a connecting section, an air inlet section, and an air outlet section; the connecting section is connected to the corresponding second, third, fourth, and fifth channels. In some embodiments, each of the second, third, fourth, and fifth channels is internally provided with a dispensing valve, and the dispensing valve is electrically or communicatively connected to the microprocessor. In some embodiments, a feed valve is provided between the object to be tested and the first channel, and the feed valve is electrically or communicatively connected to the microprocessor. The beneficial effects of the present invention lie in that the intelligent identification and recycling system of the present invention selects a measurement mode for the object to be tested, performs spectral and image measurements on the object to be tested, analyzes the material (single component or component ratio) and appearance (e.g., size) data using an intelligent algorithm, and then classifies the object to be tested based on this data, thereby reducing manpower and processing time, and facilitating data management and upload to the cloud. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a block diagram of the intelligent identification and recycling system of the present invention. Figure 2 is a block diagram of the intelligent identification and recycling system of the present invention.Figure 3 is a schematic perspective view of the classification module of the intelligent identification and recycling system of the present invention. Figure 4 is a schematic perspective view of the classification module of the intelligent identification and recycling system of the present invention from another perspective. Figure 5 is a schematic view of the intelligent identification and recycling system of the present invention in operation when screening textiles. Figure 6 is a schematic view of the intelligent identification and recycling system of the present invention in operation when screening containers. The accompanying drawings are numbered as follows:

[0002] 100: Intelligent identification and recycling system

[0003] 111: Microprocessor

[0004] 112: Identity recognition module

[0005] 113: Touch display module

[0006] 114: Image recognition module

[0007] 115: Image Database

[0008] 116: Spectral Identification Module

[0009] 117: Spectral Database

[0010] 118:Memory Module

[0011] 200:Transmission module

[0012] 300: Cloud Database

[0013] 400:Classification module

[0014] 410: First channel

[0015] 420: Second channel

[0016] 430: Third Channel

[0017] 440: Fourth Channel

[0018] 450: Fifth Channel

[0019] 460: Inlet and outlet unit

[0020] 461:Connection segment

[0021] 462: Intake section

[0022] 463: Exhaust section

[0023] VI: Feed valve

[0024] V2: Dispensing Valve Specific Implementation FIG1 is a block diagram of the intelligent identification and recycling system of the present invention. FIG2 is a block diagram of the intelligent identification and recycling system of the present invention. Referring to FIG1 and FIG2 , the intelligent identification and recycling system 100 of the present invention includes a microprocessor 111, an identity recognition module 112, a touch display module 113, an image recognition module 114, an image database 115, a spectrum recognition module 116, a spectrum database 117, a memory module 118, and a classification module 400. The microprocessor 111 is a commonly known processing unit that includes an integrated circuit for processing digital signals. The identity recognition module 112 can be electrically connected to the microprocessor 111 to identify a user. In some embodiments, the identity recognition module 112 can be an RFID reader, but is not limited thereto. In practical applications, identification can be performed using cards such as EasyCards and One-Card Passes, or digital IDs, but the present invention is not limited thereto. The touch display module 113 can be electrically connected to the microprocessor 11L to input a measurement mode. In some embodiments, the measurement modes can include textile measurement and container measurement. In other words, textile measurement is used to measure data such as the material of a textile, while container measurement is used to measure data such as the external dimensions and material of a container. The image recognition module 114 can be electrically connected to the microprocessor 11L to identify the external dimensions and material of a test object. In some embodiments, the image recognition module 114 is used to identify the test object as a container, and the measurement mode is container measurement. The image database 115 can be electrically connected to the microprocessor 11L to store data such as the external dimensions and material of the test object. Specifically, the image database 115 operates in response to the image recognition module 114, enabling the image recognition module 114 to identify the test object as a container and the measurement mode as container measurement. The spectral recognition module 116 can be electrically connected to the microprocessor 111 to identify the material of the object under test. In some embodiments, the spectral recognition module 116 is used to identify the object under test as a textile and the measurement mode as textile packaging material measurement. The spectral database 117 can be electrically connected to the microprocessor 111 to store data such as the material of the object under test. Specifically, the spectral database 117 is activated in response to the spectral recognition module 116 to facilitate the spectral recognition module 116's identification of the object under test as a textile and the measurement mode as textile packaging material measurement. The memory module 118 can be electrically connected to the microprocessor 111 to store a learning pattern. This learning pattern is used to learn relevant information related to the object under test, thereby accelerating the identification of the object's type and material.The classification module 400 can be electrically connected to the microprocessor 111 to classify the objects under test based on their measurement results. In some embodiments, the intelligent identification and recycling system 100 of the present invention further includes a transmission module 200 and a cloud database 300. The microprocessor 111 communicates with the cloud database 300 via the transmission module 200. The cloud database 300 can store relevant data such as user ID, unit deposit amount, and data related to recycled items. The cloud database can serve as a regional recycling system war room, compiling logistics and delivery statistics and linking user points. Figure 3 is a perspective schematic diagram of the classification module of the intelligent identification and recycling system of the present invention. Figure 4 is a perspective schematic diagram of the classification module of the intelligent identification and recycling system of the present invention from another perspective. Referring to Figures 3 and 4, the objects under test can be placed on the classification module 400. The classification module 400 has a first channel 410, a second channel 420, a third channel 430, a fourth channel 440, and a fifth channel 450. The object to be tested can be placed on the first channel 410, while the second channel 420, the third channel 430, the fourth channel 440, and the fifth channel 450 are symmetrically arranged around the first channel 410. Each of the second channel 420, the third channel 430, the fourth channel 440, and the fifth channel 450 is externally connected to an air inlet and outlet unit 460. The air inlet and outlet unit 460 comprises a connecting section 461, an air inlet section 462, and an air outlet section 463. The connecting section 461 is connected to the corresponding channel (420, 430, 440, 450). Furthermore, each of the second channel 420, the third channel 430, the fourth channel 440, and the fifth channel 450 is internally provided with a dispensing valve V2. OThe dispensing valve V2 can communicate or be electrically connected to the microprocessor 111. Referring back to Figure 2 , in some embodiments, a feed valve V1 is positioned between the test object and the first channel 410. The feed valve V1 is electrically or electrically connected to the microprocessor 111. Figure 5 illustrates the operation of the intelligent identification and recycling system of the present invention during textile screening. Figure 6 illustrates the operation of the intelligent identification and recycling system of the present invention during container screening. Referring to FIG5 , a textile test object is placed on feed valve V1. An identification card (such as an EasyCard) is used for identification by identity recognition module 112. The information is transmitted to cloud database 300 via microprocessor 111 and transmission module 200 via microprocessor 111. After cloud database 300 and microprocessor 111 confirm the user's identity and relevant data, the user selects the "Textile Measurement" option on touch display module 113 to activate spectral identification module 116 to perform spectral identification of the material of the test object and store the data in spectral database 117. After confirming the test object's data, microprocessor 111 controls feed valve V1 to open, allowing the test object to fall into classification module 400. It then controls distribution valve V2 and the corresponding air inlet and outlet units 460 to classify the test object into, for example, fifth channel 450 for collection, and so on. Similarly, referring to FIG6 , a container containing an object to be tested is placed on the feed valve V1. An identification card (e.g., EasyCard) is used to identify the object using the identity recognition module 112. The information is transmitted to the cloud database 300 via the microprocessor 111 and the transmission module 200 via the transmission module 200. After the cloud database 300 and the microprocessor 111 confirm the user's identity and relevant data, the user selects the "Container Measurement" option on the touch display module 113 to activate the image recognition module 114 to perform image recognition on the object to be tested, identifying its dimensions, material, and other characteristics. The data is then stored in the image database 115. After the microprocessor 111 confirms the object's data, it controls the feed valve V1 to open, allowing the object to be tested to fall into the classification module 400. It then controls the distribution valve V2 and the corresponding air inlet and outlet units 460 to classify the object into, for example, the fifth channel 450 for collection, and so on. This achieves intelligent classification of plastics through optical and / or image recognition. In summary, the intelligent identification and recycling system 100 of the present invention selects a measurement mode for the object to be tested, performs spectral and image measurement on the object to be tested, and then uses intelligent algorithms to analyze the material (single component or component ratio) and appearance (such as size) data. The object to be tested is then classified based on the obtained data, thereby reducing manpower and processing time, and facilitating data management and upload to the cloud for record keeping.Furthermore, the intelligent identification and recycling system 100 of the present invention utilizes an identity recognition module to identify the user and obtains corresponding recycling rewards based on the data measured by the DUT. The recycling rewards are then fed back to the corresponding user, thereby increasing recycling willingness and usage efficiency. Furthermore, the recycling system can also promote recycling performance in the areas where it is deployed.

Claims

Claims 1. An intelligent identification and recycling system, characterized in that: include: a microprocessor (111); an identity recognition module (112), electrically connected to the microprocessor (111), for identifying the identity of a user; a touch display module (113), electrically connected to the microprocessor (111), for inputting a measurement mode; an image recognition module (114), electrically connected to the microprocessor (111), for identifying an appearance size and a material of an object to be measured; an image database (115), electrically connected to the microprocessor (111), for storing the appearance size and the material of the object to be measured; a spectrum recognition module (116), electrically connected to the microprocessor (111), for identifying the material of the object to be measured; a spectrum database (117), electrically connected to the microprocessor (111), for storing the material of the object to be measured; a memory module (118), electrically connected to the microprocessor (111), for storing a learning mode; and a classification module (400) electrically connected to the microprocessor (111) for classifying the object to be tested according to the measurement result of the object to be tested.

2. The intelligent identification and recycling system according to claim 1, characterized in that: The measurement modes include a textile measurement and a container or packaging material measurement.

3. The intelligent identification and recycling system according to claim 1, characterized in that: It also includes a transmission module (200) and a cloud database (300), and the microprocessor (111) is communicatively connected with the cloud database (300) via the transmission module (200).

4. The intelligent identification and recycling system according to claim 1, characterized in that: The classification module (400) has a first channel (410), a second channel (420), a third channel (430), a fourth channel (440) and a fifth channel (450); the object to be tested is arranged above the first channel (410), and the second channel (420), the third channel (430), the fourth channel (440) and the fifth channel (450) are symmetrically arranged around the first channel (410).

5. The intelligent identification and recycling system according to claim 4, characterized in that: The outside of the second channel (420), the third channel (430), the fourth channel (440) and the fifth channel (450) are each connected to an air inlet and outlet unit (460).

6. The intelligent identification and recycling system according to claim 5, characterized in that: The air inlet and outlet unit (460) comprises a connecting section (461), an air inlet section (462) and an air outlet section (463); the connecting section (461) is connected to the corresponding second channel (420), the third channel (430), the fourth channel (440) and the fifth channel (450).

7. The intelligent identification and recycling system according to claim 6, characterized in that: The second channel (420), the third channel A material distribution valve (V2) is respectively disposed inside the first channel (430), the fourth channel (440) and the fifth channel (450), and the material distribution valve (V2) is electrically or communicatively connected to the microprocessor (111).

8. The intelligent identification and recycling system according to claim 4, characterized in that: A feed valve (V1) is provided between the object to be tested and the first channel (410), and the feed valve (V1) is electrically or communicatively connected to the microprocessor (111).

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