WO2021179596A1 - Garbage classification method and smart household appliance - Google Patents

Garbage classification method and smart household appliance Download PDF

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Publication number
WO2021179596A1
WO2021179596A1 PCT/CN2020/120488 CN2020120488W WO2021179596A1 WO 2021179596 A1 WO2021179596 A1 WO 2021179596A1 CN 2020120488 W CN2020120488 W CN 2020120488W WO 2021179596 A1 WO2021179596 A1 WO 2021179596A1
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Prior art keywords
garbage
category
user
voice
cloud
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PCT/CN2020/120488
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French (fr)
Chinese (zh)
Inventor
李九翔
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美智纵横科技有限责任公司
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Publication of WO2021179596A1 publication Critical patent/WO2021179596A1/en

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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
    • B65F1/1484—Other constructional features; Accessories relating to the adaptation of receptacles to carry identification means
    • 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
    • B65F2210/112—Coding means to aid in recycling
    • 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
    • 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

Definitions

  • the present invention relates to the technical field of household appliances, and in particular to a garbage classification method and smart household appliances.
  • Garbage classification is to classify garbage into recyclable and non-recyclable methods. Humans produce a large amount of garbage every day, and a large amount of garbage that is not sorted, recycled, reused and disposed of will cause environmental pollution. Garbage classification is to sort and put the garbage, and make it into a resource through sorting, transportation and recycling.
  • the purpose of the present invention is to propose a garbage classification method and smart household electrical appliances in view of the above-mentioned shortcomings of the prior art, and the purpose is achieved by the following technical solutions.
  • the first aspect of the present invention provides a smart home appliance, including:
  • Voice module used to collect user voice
  • the wireless module is configured to upload the user voice collected by the voice module to the cloud, so that the cloud recognizes the user voice as a spam name and analyzes the spam category to which the spam name belongs;
  • the wireless module is also used to receive the garbage category returned by the cloud
  • the prompt module is used to prompt the user of the garbage category.
  • the second aspect of the present invention provides a smart home appliance, including:
  • Camera used to collect garbage images
  • a wireless module configured to upload the garbage image collected by the camera to the cloud, so that the cloud can identify the garbage category to which the garbage on the garbage image belongs;
  • the wireless module is also used to receive the garbage category returned by the cloud
  • the prompt module is used to prompt the user of the garbage category.
  • the third aspect of the present invention provides a garbage classification method, which is applied to the smart home appliance described in the first aspect, and the method includes:
  • the fourth aspect of the present invention provides a garbage classification method, which is applied to the smart home appliance described in the above second aspect, and the method includes:
  • smart home appliances with cameras or voice modules can automatically identify the types of garbage, so that users can easily, efficiently and accurately learn the types of garbage .
  • Fig. 1 is a schematic diagram showing the structure of a smart home appliance according to an exemplary embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of yet another smart home appliance according to the embodiment shown in FIG. 1 according to the present invention
  • Fig. 3 is a schematic structural diagram of another smart home appliance according to an exemplary embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of yet another smart home appliance according to the embodiment shown in FIG. 3 according to the present invention.
  • FIG. 5 is a schematic structural diagram of a charging base and a trash can according to the embodiment shown in FIG. 3 according to the present invention
  • Fig. 6 is a flowchart of an embodiment of a garbage classification method according to an exemplary embodiment of the present invention.
  • Fig. 7 is a flowchart of another embodiment of a garbage classification method according to an exemplary embodiment of the present invention.
  • first, second, third, etc. may be used in the present invention to describe various information, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as second information, and similarly, the second information may also be referred to as first information.
  • word “if” as used herein can be interpreted as "when” or “when” or "in response to determination”.
  • Fig. 1 is a smart home appliance proposed by the present invention, including:
  • the voice module 101 is used to collect user voice
  • the wireless module 102 is configured to upload the user's voice collected by the voice module 101 to the cloud, so that the cloud recognizes the user's voice as a spam name and analyzes the spam category to which the spam name belongs;
  • the wireless module 102 is also used to receive the garbage category returned by the cloud;
  • the prompt module 103 is used to prompt the user of the garbage category.
  • the voice module 101 includes a pickup device for collecting the user's voice, that is, when the user needs to identify the type of garbage, speak the name of the garbage to the smart home appliance, such as apple core, leftovers, etc., the pickup on the voice module 101
  • the audio device can pick up the user's voice.
  • the wireless module 102 has a networking function. After the wireless module 102 is connected to the Internet, it can interact with the background cloud, and can also interact with the APP of the smart home appliance.
  • the wireless module 102 may be a WIFI module, a ZigBee module, a Bluetooth module, a 4G module, and so on.
  • the background cloud in order to improve the accuracy of garbage category recognition, can recognize the semantic information of the user's voice based on deep learning, that is, the name of the garbage, and then obtain the garbage category to which the garbage belongs based on the recognized semantic information.
  • the prompt module 103 may prompt the user with the recognized garbage category through voice broadcast, or may also display the recognized garbage category on the display screen of the smart home appliance.
  • the smart home appliance further includes:
  • the voice recognition module 104 is configured to recognize the user's voice as a spam name and analyze the spam category to which the spam name belongs.
  • the voice recognition function of the voice recognition module 104 is performed locally in the home appliance.
  • the user's voice collected by the voice module can also be identified by the local offline voice recognition module to identify the garbage category, so that even when the home appliance is not connected to the Internet, it can be guaranteed Users can easily and efficiently learn the garbage category.
  • FIG 3 is another smart home appliance proposed by the present invention, including:
  • the camera 301 is used to collect garbage images
  • the wireless module 302 is configured to upload the garbage image collected by the camera 301 to the cloud, so that the cloud can identify the garbage category to which the garbage on the garbage image belongs;
  • the wireless module 302 is also used to receive the garbage category returned by the cloud;
  • the prompt module 303 is used to prompt the user of the garbage category.
  • the camera 301 is a built-in camera of the home appliance.
  • the lens of the camera 301 can be set upwards.
  • the user only needs to place the garbage within a certain range of the camera to capture garbage images; the camera can also use other types of image capture
  • the optical axis of the image acquisition device is preferably set in an upward direction at an angle of 0°-45° with respect to the vertical direction.
  • the background cloud can use in-depth learning to identify the garbage category to which the garbage belongs on the garbage image.
  • the garbage image is taken by the camera built in the home appliance, and the garbage image is uploaded to the cloud by the wireless module in real time.
  • the garbage category returned from the cloud is received, the user is prompted with the identified garbage category, so that On the basis of adding any hardware, it is ensured that users can easily, efficiently and accurately know the garbage category.
  • the smart home appliance device further includes:
  • the image recognition module 304 is used to recognize the garbage category to which the garbage belongs on the garbage image collected by the camera 301.
  • the image recognition function of the image recognition module 304 is performed locally in the home appliance.
  • the garbage image collected by the camera can also be identified by the local offline image recognition module to identify the garbage category, so that even when the home appliance is not connected to the Internet, the user can be guaranteed It is simple and efficient to know the garbage category.
  • a camera and a voice module may also be provided on the smart power-saving device.
  • the user can either use the camera to capture garbage images to identify the garbage category, or use the voice module to collect voice recognition Garbage category.
  • the smart home appliance described in FIG. 1 and/or FIG. 3 may be a cleaning device, such as a sweeping robot.
  • the cleaning device may further include: a charging stand for placing the cleaning device and a sorting and storing garbage collector integrated with the charging stand.
  • a trash can which includes a plurality of trash accommodating cans (the trash accommodating canister under the canister cover in FIG. 5).
  • the voice module for collecting the user's voice is arranged on the outside of the trash can, so that the user can speak the name of the trash to the voice module when throwing trash.
  • the camera for collecting garbage images is arranged above the cleaning equipment to facilitate the collection of garbage images.
  • the prompt module may indicate the garbage container corresponding to the identified garbage category through the indicator light, so as to prompt the user to discard the garbage into the corresponding garbage container.
  • each trash container is provided with an indicator light, and the type of trash that can be contained in each trash container is preset.
  • the prompt module controls the indicator light on the garbage container to light, indicating that the garbage can be thrown into the garbage container.
  • the prompt module may also control the opening of the lid on the garbage container corresponding to the identified garbage category, so that the user can directly throw the garbage into the garbage container.
  • the cleaning device when the cleaning device is in a clean state, its built-in camera is used for visual navigation SLAM (Simultaneous Localization And Mapping, synchronous positioning and mapping).
  • SLAM Simultaneous Localization And Mapping, synchronous positioning and mapping.
  • FIG. 6 is a flowchart of an embodiment of a garbage classification method according to an exemplary embodiment of the present invention.
  • the garbage classification method is applied to the smart home appliance shown in FIGS. 1 to 2 above, and the garbage classification method Including the following steps:
  • Step 701 Collect a user's voice, and the user's voice includes junk name information.
  • Step 702 Upload the collected user voice to the cloud, and receive the garbage category returned by the cloud.
  • the background cloud has relatively strong computing power
  • the user's voice can be uploaded to the cloud through the network, and the relatively high-complexity voice recognition method on the cloud (such as a method based on deep learning) )
  • the relatively high-complexity voice recognition method on the cloud (such as a method based on deep learning)
  • the smart home appliance when the smart home appliance is not connected to the Internet, since the user's voice cannot be uploaded to the cloud, the smart home appliance can also use the local voice recognition function to recognize the user's voice as a spam name, and analyze the name of the spam.
  • the garbage category when the smart home appliance is not connected to the Internet, since the user's voice cannot be uploaded to the cloud, the smart home appliance can also use the local voice recognition function to recognize the user's voice as a spam name, and analyze the name of the spam.
  • the garbage category when the smart home appliance is not connected to the Internet, since the user's voice cannot be uploaded to the cloud, the smart home appliance can also use the local voice recognition function to recognize the user's voice as a spam name, and analyze the name of the spam. The garbage category.
  • Step 703 Prompt the user of the garbage category.
  • step 701 to step 703 reference may be made to the relevant description of the embodiment shown in FIG. 1 to FIG. 2 and will not be described in detail again.
  • Fig. 7 is a flowchart of another embodiment of a garbage classification method according to an exemplary embodiment of the present invention.
  • the garbage classification method is applied to the smart home appliances shown in Figs. 3 to 4, and the garbage classification The method includes the following steps:
  • Step 801 Collect garbage images.
  • the garbage image is an image collected after the user places the garbage in a certain range of the camera.
  • Step 802 Upload the collected garbage images to the cloud, and receive the garbage category returned by the cloud.
  • the garbage images can be uploaded to the cloud through the network, and the relatively high-complexity image recognition method on the cloud (such as the method based on deep learning) ) To accurately identify the garbage category to which the garbage on the image belongs.
  • the smart home appliance when the smart home appliance is not connected to the Internet, because the garbage image cannot be uploaded to the cloud, the smart home appliance can also use the local image recognition function to identify the garbage category to which the garbage on the garbage image belongs.
  • Step 803 Prompt the user of the garbage category.
  • step 801 to step 803 reference may be made to the related description of the embodiment shown in FIG. 3 to FIG. 4, which will not be described in detail.

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Abstract

Disclosed in the present invention are a smart household appliance and a garbage classification method. The appliance comprises: a voice module used for collecting user voice; a wireless module used for uploading, to the cloud, the user voice collected by the voice module, so that the cloud recognizes the user voice as a garbage name and analyzes a garbage category to which the garbage name belongs, the wireless module being further used for receiving the garbage category returned by the cloud; and a prompting module used for prompting the garbage category to a user. The present application automatically recognizes the category of a garbage by means of the smart household appliance having the voice module, and thus, a user can simply, efficiently, and accurately know the category of the garbage.

Description

垃圾分类方法及智能家电设备Garbage classification method and smart home appliance
优先权信息Priority information
本申请请求2020年03月13日向中国国家知识产权局提交的、专利申请号为202010176950.5的专利申请的优先权和权益，并且通过参照将其全文并入此处。This application requests the priority and rights of the patent application with the patent application number 202010176950.5 filed with the State Intellectual Property Office of China on March 13, 2020, and the full text is incorporated herein by reference.
技术领域Technical field
本发明涉及家电技术领域，具体涉及一种垃圾分类方法及智能家电设备。The present invention relates to the technical field of household appliances, and in particular to a garbage classification method and smart household appliances.
背景技术Background technique
垃圾分类，是将垃圾按可回收再使用和不可回收再使用的方法进行分类。人类每日产生大量的垃圾，大量的垃圾未经分类回收再使用并任意弃置会造成环境污染。垃圾分类就是在将垃圾分类投放，并通过分类的清运和回收使之重新变成资源。Garbage classification is to classify garbage into recyclable and non-recyclable methods. Humans produce a large amount of garbage every day, and a large amount of garbage that is not sorted, recycled, reused and disposed of will cause environmental pollution. Garbage classification is to sort and put the garbage, and make it into a resource through sorting, transportation and recycling.
然而，目前都是使用肉眼区分垃圾的种类，学习成本比较高，而且容易错。However, at present, the naked eye is used to distinguish the types of garbage, which is relatively expensive and easy to make mistakes.
发明内容Summary of the invention
本发明的目的是针对上述现有技术的不足提出的一种垃圾分类方法及智能家电设备，该目的是通过以下技术方案实现的。The purpose of the present invention is to propose a garbage classification method and smart household electrical appliances in view of the above-mentioned shortcomings of the prior art, and the purpose is achieved by the following technical solutions.
本发明的第一方面提出了一种智能家电设备，包括：The first aspect of the present invention provides a smart home appliance, including:
语音模块，用于采集用户语音；Voice module, used to collect user voice;
无线模块，用于将所述语音模块采集的用户语音上传至云端，以使所述云端将所述用户语音识别为垃圾名并分析所述垃圾名所属的垃圾类别；The wireless module is configured to upload the user voice collected by the voice module to the cloud, so that the cloud recognizes the user voice as a spam name and analyzes the spam category to which the spam name belongs;
所述无线模块，还用于接收云端返回的垃圾类别；The wireless module is also used to receive the garbage category returned by the cloud;
提示模块，用于向用户提示所述垃圾类别。The prompt module is used to prompt the user of the garbage category.
本发明的第二方面提出了一种智能家电设备，包括：The second aspect of the present invention provides a smart home appliance, including:
摄像头，用于采集垃圾图像；Camera, used to collect garbage images;
无线模块，用于将所述摄像头采集的垃圾图像上传至云端，以使所述云端识别所述垃圾图像上的垃圾所属的垃圾类别；A wireless module, configured to upload the garbage image collected by the camera to the cloud, so that the cloud can identify the garbage category to which the garbage on the garbage image belongs;
所述无线模块，还用于接收云端返回的垃圾类别；The wireless module is also used to receive the garbage category returned by the cloud;
提示模块，用于向用户提示所述垃圾类别。The prompt module is used to prompt the user of the garbage category.
本发明的第三方面提出了一种垃圾分类方法，所述方法应用于上述第一方面所述的智能家电设备，所述方法包括：The third aspect of the present invention provides a garbage classification method, which is applied to the smart home appliance described in the first aspect, and the method includes:
采集用户语音，所述用户语音包含垃圾名称信息；Collect user voice, where the user voice includes spam name information;
将采集的用户语音上传至云端，并接收云端返回的垃圾类别；Upload the collected user voice to the cloud, and receive the garbage category returned by the cloud;
向用户提示所述垃圾类别。Prompt the user of the garbage category.
本发明的第四方面提出了一种垃圾分类方法，所述方法应用于上述第二方面所述的智能家电设备，所述方法包括：The fourth aspect of the present invention provides a garbage classification method, which is applied to the smart home appliance described in the above second aspect, and the method includes:
采集垃圾图像；Collect garbage images;
将采集的垃圾图像上传至云端，并接收所述云端返回的垃圾类别；Upload the collected garbage images to the cloud, and receive the garbage category returned by the cloud;
向用户提示所述垃圾类别。Prompt the user of the garbage category.
基于上述第一方面至第四方面所述的智能家电设备和垃圾分类方法，通过带有摄像头或语音模块的智能家电设备自动识别垃圾的种类，从而用户可简单、高效且精准的获知垃圾的类别。Based on the smart home appliances and garbage classification methods described in the first to fourth aspects above, smart home appliances with cameras or voice modules can automatically identify the types of garbage, so that users can easily, efficiently and accurately learn the types of garbage .
附图说明Description of the drawings
此处所说明的附图用来提供对本发明的进一步理解，构成本发明的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：The drawings described here are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and the description thereof are used to explain the present invention, and do not constitute an improper limitation of the present invention. In the attached picture:
图1为本发明根据一示例性实施例示出的一种智能家电设备结构示意图；Fig. 1 is a schematic diagram showing the structure of a smart home appliance according to an exemplary embodiment of the present invention;
图2为本发明根据图1所示实施例示出的又一种智能家电设备结构示意图；FIG. 2 is a schematic structural diagram of yet another smart home appliance according to the embodiment shown in FIG. 1 according to the present invention;
图3为本发明根据一示例性实施例示出的另一种智能家电设备结构示意图；Fig. 3 is a schematic structural diagram of another smart home appliance according to an exemplary embodiment of the present invention;
图4为本发明根据图3所示实施例示出的再一种智能家电设备结构示意图；FIG. 4 is a schematic structural diagram of yet another smart home appliance according to the embodiment shown in FIG. 3 according to the present invention;
图5为本发明根据图3所示实施例示出的一种充电座与垃圾桶一体设置的结构示意图；FIG. 5 is a schematic structural diagram of a charging base and a trash can according to the embodiment shown in FIG. 3 according to the present invention;
图6为本发明根据一示例性实施例示出的一种垃圾分类方法的实施例流程图；Fig. 6 is a flowchart of an embodiment of a garbage classification method according to an exemplary embodiment of the present invention;
图7为本发明根据一示例性实施例示出的又一种垃圾分类方法的实施例流程图。Fig. 7 is a flowchart of another embodiment of a garbage classification method according to an exemplary embodiment of the present invention.
具体实施方式Detailed ways
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present invention. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.
在本发明使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本发明。在本发明和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。The terms used in the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms of "a", "said" and "the" used in the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and/or" as used herein refers to and includes any or all possible combinations of one or more associated listed items.
应当理解，尽管在本发明可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本发明范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。It should be understood that although the terms first, second, third, etc. may be used in the present invention to describe various information, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present invention, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determination".
参见图1，为本发明提出的一种智能家电设备，包括：Refer to Fig. 1, which is a smart home appliance proposed by the present invention, including:
语音模块101，用于采集用户语音；The voice module 101 is used to collect user voice;
无线模块102，用于将语音模块101采集的用户语音上传至云端，以使所述云端将用户语音识别为垃圾名并分析所述垃圾名所属的垃圾类别；The wireless module 102 is configured to upload the user's voice collected by the voice module 101 to the cloud, so that the cloud recognizes the user's voice as a spam name and analyzes the spam category to which the spam name belongs;
所述无线模块102，还用于接收云端返回的垃圾类别；The wireless module 102 is also used to receive the garbage category returned by the cloud;
提示模块103，用于向用户提示所述垃圾类别。The prompt module 103 is used to prompt the user of the garbage category.
其中，语音模块101包含用于采集用户语音的拾音装置，即当用户需要识别垃圾类别时，对着智能家电设备说出垃圾的名称，如苹果核、剩饭等，语音模块101上的拾音装置便可拾取到用户语音。Among them, the voice module 101 includes a pickup device for collecting the user's voice, that is, when the user needs to identify the type of garbage, speak the name of the garbage to the smart home appliance, such as apple core, leftovers, etc., the pickup on the voice module 101 The audio device can pick up the user's voice.
无线模块102具有联网功能，当无线模块102联网之后，可以与后台云端进行信息交互，也可以与智能家电设备的APP进行信息交互。The wireless module 102 has a networking function. After the wireless module 102 is connected to the Internet, it can interact with the background cloud, and can also interact with the APP of the smart home appliance.
示例性的，所述无线模块102可以是WIFI模块、ZigBee模块、蓝牙模块、4G模块等。Exemplarily, the wireless module 102 may be a WIFI module, a ZigBee module, a Bluetooth module, a 4G module, and so on.
在一些实施例中，为了提高垃圾类别识别的准确率，后台云端可以采用基于深度学习的方式识别用户语音的语义信息，即垃圾名称，进而根据识别的语义信息获得垃圾所属的垃圾类别。In some embodiments, in order to improve the accuracy of garbage category recognition, the background cloud can recognize the semantic information of the user's voice based on deep learning, that is, the name of the garbage, and then obtain the garbage category to which the garbage belongs based on the recognized semantic information.
在一些实施例中，提示模块103可以通过语音播报的方式向用户提示识别出的垃圾类别，或者也可以在智能家电设备的显示屏上显示识别出的垃圾类别。In some embodiments, the prompt module 103 may prompt the user with the recognized garbage category through voice broadcast, or may also display the recognized garbage category on the display screen of the smart home appliance.
在本实施例中，通过在常用的家电设备上增设语音模块，当用户需要识别垃圾类别时，对着家电设备说出垃圾的名称，家电设备的无线模块实时将采集到的用户语音上传至云端，并在接收到云端返回的垃圾类别时向用户提示识别出的垃圾类别，从而用户可简单、高效且精准的获知垃圾类别。In this embodiment, by adding a voice module to commonly used household electrical appliances, when the user needs to identify the type of rubbish, speak the name of the rubbish to the household electrical appliance, and the wireless module of the household electrical appliance uploads the collected user voice to the cloud in real time , And when receiving the garbage category returned by the cloud, it will prompt the user with the recognized garbage category, so that the user can learn the garbage category simply, efficiently and accurately.
参见图2，为本发明提出的又一种智能家电设备，在上述图1所 示的结构基础上，所述智能家电设备还包括：Refer to Figure 2, which is yet another smart home appliance proposed by the present invention. Based on the structure shown in Figure 1 above, the smart home appliance further includes:
语音识别模块104，用于将用户语音识别为垃圾名，并分析所述垃圾名所属的垃圾类别。The voice recognition module 104 is configured to recognize the user's voice as a spam name and analyze the spam category to which the spam name belongs.
其中，语音识别模块104的语音识别功能在家电设备本地完成。Among them, the voice recognition function of the voice recognition module 104 is performed locally in the home appliance.
在本实施例中，在家电设备包括的无线模块无法联网时，语音模块采集的用户语音还可以由本地离线的语音识别模块识别出垃圾类别，从而在家电设备没联网的情况下，也可以保证用户简单、高效获知垃圾类别。In this embodiment, when the wireless module included in the home appliance cannot be connected to the Internet, the user's voice collected by the voice module can also be identified by the local offline voice recognition module to identify the garbage category, so that even when the home appliance is not connected to the Internet, it can be guaranteed Users can easily and efficiently learn the garbage category.
参见图3，为本发明提出的另一种智能家电设备，包括：Refer to Figure 3, which is another smart home appliance proposed by the present invention, including:
摄像头301，用于采集垃圾图像；The camera 301 is used to collect garbage images;
无线模块302，用于将摄像头301采集的垃圾图像上传至云端，以使所述云端识别所述垃圾图像上的垃圾所属的垃圾类别；The wireless module 302 is configured to upload the garbage image collected by the camera 301 to the cloud, so that the cloud can identify the garbage category to which the garbage on the garbage image belongs;
所述无线模块302，还用于接收云端返回的垃圾类别；The wireless module 302 is also used to receive the garbage category returned by the cloud;
提示模块303，用于向用户提示所述垃圾类别。The prompt module 303 is used to prompt the user of the garbage category.
其中，摄像头301为家电设备本身内置的摄像头，摄像头301的镜头可以朝向上方设置，用户只要将垃圾放在摄像头的一定范围内，便可拍摄到垃圾图像；所述摄像头也可以用其他类型图像采集设备代替，如红外成像仪或者CCD传感器等，所述图像采集设备的光轴优选的与竖直方向角度呈0°-45°角朝向向上的方向设置。Among them, the camera 301 is a built-in camera of the home appliance. The lens of the camera 301 can be set upwards. The user only needs to place the garbage within a certain range of the camera to capture garbage images; the camera can also use other types of image capture Instead of a device, such as an infrared imager or a CCD sensor, the optical axis of the image acquisition device is preferably set in an upward direction at an angle of 0°-45° with respect to the vertical direction.
针对无线模块302和提示模块303的相关描述，请参见上述图1所示的无线模块102和提示模块103的描述，不再详述。For the related description of the wireless module 302 and the prompt module 303, please refer to the description of the wireless module 102 and the prompt module 103 shown in FIG.
为了提高垃圾类别识别的准确率，后台云端可以采用基于深度学 习的方式识别垃圾图像上垃圾所属的垃圾类别。In order to improve the accuracy of garbage category recognition, the background cloud can use in-depth learning to identify the garbage category to which the garbage belongs on the garbage image.
在本实施例中，通过使用家电设备内置的摄像头拍摄垃圾图像，并由无线模块实时将垃圾图像上传至云端，在接收到云端返回的垃圾类别时向用户提示识别出的垃圾类别，从而在不增加任何硬件的基础上，保证用户可以简单、高效且精准的获知垃圾类别。In this embodiment, the garbage image is taken by the camera built in the home appliance, and the garbage image is uploaded to the cloud by the wireless module in real time. When the garbage category returned from the cloud is received, the user is prompted with the identified garbage category, so that On the basis of adding any hardware, it is ensured that users can easily, efficiently and accurately know the garbage category.
参见图4，为本发明提出的又一种智能家电设备，在上述图3所示的结构基础上，所述智能家电设备还包括：Refer to FIG. 4, which is another smart home appliance device proposed by the present invention. Based on the structure shown in FIG. 3 above, the smart home appliance device further includes:
图像识别模块304，用于识别摄像头301采集的垃圾图像上垃圾所属的垃圾类别。The image recognition module 304 is used to recognize the garbage category to which the garbage belongs on the garbage image collected by the camera 301.
其中，图像识别模块304的图像识别功能在家电设备本地完成。Among them, the image recognition function of the image recognition module 304 is performed locally in the home appliance.
在本实施例中，在家电设备包括的无线模块无法联网时，摄像头采集的垃圾图像还可以由本地离线的图像识别模块识别出垃圾类别，从而在家电设备没联网的情况下，也可以保证用户简单、高效的获知垃圾类别。In this embodiment, when the wireless module included in the home appliance cannot be connected to the Internet, the garbage image collected by the camera can also be identified by the local offline image recognition module to identify the garbage category, so that even when the home appliance is not connected to the Internet, the user can be guaranteed It is simple and efficient to know the garbage category.
基于上述描述的智能家电设备，在一些实施例中，也可以在智能节电设备上同时设置有摄像头和语音模块，用户既可以通过摄像头拍摄垃圾图像识别垃圾类别，也可以通过语音模块采集语音识别垃圾类别。Based on the smart home appliance described above, in some embodiments, a camera and a voice module may also be provided on the smart power-saving device. The user can either use the camera to capture garbage images to identify the garbage category, or use the voice module to collect voice recognition Garbage category.
在一些实施例中，上述图1和/或图3所述的智能家电设备可以为清洁设备，如扫地机器人。In some embodiments, the smart home appliance described in FIG. 1 and/or FIG. 3 may be a cleaning device, such as a sweeping robot.
参见图5所示，在包括上述图1和/或图3所示结构的基础上，所述清洁设备还可以包括：用于放置清洁设备的充电座以及与充电座 一体设置的分类存放垃圾的垃圾桶，所述垃圾桶包含多个垃圾容置筒(图5中筒盖下方为垃圾容置筒)。As shown in FIG. 5, based on the structure shown in FIG. 1 and/or FIG. 3, the cleaning device may further include: a charging stand for placing the cleaning device and a sorting and storing garbage collector integrated with the charging stand. A trash can, which includes a plurality of trash accommodating cans (the trash accommodating canister under the canister cover in FIG. 5).
其中，用于采集用户语音的语音模块设置在垃圾桶外侧，便于用户投放垃圾时对着语音模块说出垃圾名称。用于采集垃圾图像的摄像头设置在清洁设备的上方，以便于采集垃圾图像。Among them, the voice module for collecting the user's voice is arranged on the outside of the trash can, so that the user can speak the name of the trash to the voice module when throwing trash. The camera for collecting garbage images is arranged above the cleaning equipment to facilitate the collection of garbage images.
在本实施例中，提示模块可以通过指示灯指示识别出的垃圾类别对应的垃圾容置筒，以提示用户将垃圾丢弃到对应的垃圾容置筒中。In this embodiment, the prompt module may indicate the garbage container corresponding to the identified garbage category through the indicator light, so as to prompt the user to discard the garbage into the corresponding garbage container.
具体实施时，如图5所示，每个垃圾容置筒上对应设置一个指示灯，并预先设置每个垃圾容置筒中可以容纳的垃圾类别，当识别出的垃圾类别匹配上某垃圾容置筒时，提示模块控制该垃圾容置筒上的指示灯亮，表示可以将垃圾丢入该垃圾容置筒里。In specific implementation, as shown in Figure 5, each trash container is provided with an indicator light, and the type of trash that can be contained in each trash container is preset. When the identified trash category matches a certain trash container When the garbage container is turned on, the prompt module controls the indicator light on the garbage container to light, indicating that the garbage can be thrown into the garbage container.
或者，提示模块还可以控制识别出的垃圾类别对应的垃圾容置筒上的筒盖打开，以便于用户直接将垃圾丢入垃圾容置筒中。Alternatively, the prompt module may also control the opening of the lid on the garbage container corresponding to the identified garbage category, so that the user can directly throw the garbage into the garbage container.
需要说明的是，当清洁设备处于清洁状态下，其内置的摄像头用于视觉导航SLAM(Simultaneous Localization And Mapping，同步定位与建图)，当清洁设备放置在充电座待机或充电时，用户再通过终端上安装的清洁设备的APP或者清洁设备本身的开关控制摄像头处于垃圾智能识别状态。It should be noted that when the cleaning device is in a clean state, its built-in camera is used for visual navigation SLAM (Simultaneous Localization And Mapping, synchronous positioning and mapping). When the cleaning device is placed on the charging stand for standby or charging, the user passes through The APP of the cleaning device installed on the terminal or the switch of the cleaning device itself controls the camera to be in a garbage intelligent recognition state.
图6为本发明根据一示例性实施例示出的一种垃圾分类方法的实施例流程图，所述垃圾分类方法应用于上述图1至图2所示的智能家电设备上，所述垃圾分类方法包括如下步骤：FIG. 6 is a flowchart of an embodiment of a garbage classification method according to an exemplary embodiment of the present invention. The garbage classification method is applied to the smart home appliance shown in FIGS. 1 to 2 above, and the garbage classification method Including the following steps:
步骤701：采集用户语音，所述用户语音包含垃圾名称信息。Step 701: Collect a user's voice, and the user's voice includes junk name information.
步骤702：将采集的用户语音上传至云端，并接收云端返回的垃圾类别。Step 702: Upload the collected user voice to the cloud, and receive the garbage category returned by the cloud.
其中，在智能家电设备联网的情况下，由于后台云端的运算能力比较强，所以可以通过网络将用户语音上传至云端，由云端上复杂度相对比较高的语音识别方法(如基于深度学习的方法)来精准识别用户语音的语义信息，并分析语义信息所对应的垃圾类别。Among them, when smart home appliances are connected to the Internet, because the background cloud has relatively strong computing power, the user's voice can be uploaded to the cloud through the network, and the relatively high-complexity voice recognition method on the cloud (such as a method based on deep learning) ) To accurately identify the semantic information of the user’s voice and analyze the garbage category corresponding to the semantic information.
需要说明的是，在智能家电设备未联网的情况下，由于用户语音无法上传至云端，因此智能家电设备还可以利用本地的语音识别功能将用户语音识别为垃圾名，并分析所述垃圾名所属的垃圾类别。It should be noted that when the smart home appliance is not connected to the Internet, since the user's voice cannot be uploaded to the cloud, the smart home appliance can also use the local voice recognition function to recognize the user's voice as a spam name, and analyze the name of the spam. The garbage category.
步骤703：向用户提示所述垃圾类别。Step 703: Prompt the user of the garbage category.
针对步骤701～步骤703的过程，可以参见上述图1至图2所示实施例的相关描述，不再详述。For the process of step 701 to step 703, reference may be made to the relevant description of the embodiment shown in FIG. 1 to FIG. 2 and will not be described in detail again.
至此，完成上述图6所示的分类流程，通过图6所示流程可以保证用户简单、高效且准确获知要丢弃垃圾的垃圾类别。At this point, the classification process shown in FIG. 6 is completed, and the process shown in FIG. 6 can ensure that the user simply, efficiently and accurately knows the garbage category to be discarded.
图7为本发明根据一示例性实施例示出的又一种垃圾分类方法的实施例流程图，所述垃圾分类方法应用于上述图3至图4所示的智能家电设备上，所述垃圾分类方法包括如下步骤：Fig. 7 is a flowchart of another embodiment of a garbage classification method according to an exemplary embodiment of the present invention. The garbage classification method is applied to the smart home appliances shown in Figs. 3 to 4, and the garbage classification The method includes the following steps:
步骤801：采集垃圾图像。Step 801: Collect garbage images.
其中，所述垃圾图像为用户将垃圾放在摄像头的一定范围后所采集的图像。Wherein, the garbage image is an image collected after the user places the garbage in a certain range of the camera.
步骤802：将采集的垃圾图像上传至云端，并接收云端返回的垃圾类别。Step 802: Upload the collected garbage images to the cloud, and receive the garbage category returned by the cloud.
其中，在智能家电设备联网的情况下，由于后台云端的运算能力比较强，所以可以通过网络将垃圾图像上传至云端，由云端上复杂度相对比较高的图像识别方法(如基于深度学习的方法)来精准识别图像上垃圾所属的垃圾类别。Among them, when smart home appliances are connected to the Internet, because the back-end cloud computing power is relatively strong, the garbage images can be uploaded to the cloud through the network, and the relatively high-complexity image recognition method on the cloud (such as the method based on deep learning) ) To accurately identify the garbage category to which the garbage on the image belongs.
需要说明的是，在智能家电设备未联网的情况下，由于垃圾图像无法上传至云端，因此智能家电设备还可以利用本地的图像识别功能识别垃圾图像上垃圾所属的垃圾类别。It should be noted that when the smart home appliance is not connected to the Internet, because the garbage image cannot be uploaded to the cloud, the smart home appliance can also use the local image recognition function to identify the garbage category to which the garbage on the garbage image belongs.
步骤803：向用户提示所述垃圾类别。Step 803: Prompt the user of the garbage category.
针对步骤801～步骤803的描述，可以参见上述图3至图4所示实施例的相关描述，不再详述。For the description of step 801 to step 803, reference may be made to the related description of the embodiment shown in FIG. 3 to FIG. 4, which will not be described in detail.
至此，完成上述图7所示的分类流程，通过图7所示流程也可以保证用户简单、高效且准确获知要丢弃垃圾的垃圾类别。At this point, the classification process shown in FIG. 7 is completed, and the process shown in FIG. 7 can also ensure that the user simply, efficiently, and accurately knows the type of garbage to be discarded.
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本发明旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本发明未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。Those skilled in the art will easily think of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptive changes of the present invention. These variations, uses, or adaptive changes follow the general principles of the present invention and include common knowledge or conventional technical means in the technical field not disclosed by the present invention. . The description and the embodiments are to be regarded as exemplary only, and the true scope and spirit of the present invention are pointed out by the following claims.
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没 有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or also include elements inherent to such processes, methods, commodities, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity or equipment that includes the element.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本发明保护的范围之内。The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the present invention. Within the scope of protection.
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Claims (11)

  1. 一种智能家电设备，其特征在于，包括：A smart home appliance is characterized in that it includes:
    语音模块，用于采集用户语音；Voice module, used to collect user voice;
    无线模块，用于将所述语音模块采集的用户语音上传至云端，以使所述云端将所述用户语音识别为垃圾名并分析所述垃圾名所属的垃圾类别；The wireless module is configured to upload the user voice collected by the voice module to the cloud, so that the cloud recognizes the user voice as a spam name and analyzes the spam category to which the spam name belongs;
    所述无线模块，还用于接收云端返回的垃圾类别；The wireless module is also used to receive the garbage category returned by the cloud;
    提示模块，用于向用户提示所述垃圾类别。The prompt module is used to prompt the user of the garbage category.
  2. 根据权利要求1所述的设备，其特征在于，还包括：The device according to claim 1, further comprising:
    语音识别模块，用于将所述用户语音识别为垃圾名，并分析所述垃圾名所属的垃圾类别。The voice recognition module is used to recognize the user's voice as a rubbish name and analyze the rubbish category to which the rubbish name belongs.
  3. 根据权利要求1所述的设备，其特征在于，The device of claim 1, wherein:
    所述提示模块，具体用于通过语音方式向用户提示所述垃圾类别；The prompting module is specifically configured to prompt the user of the garbage category by voice;
    和/或者，And/or,
    所述提示模块，具体用于在所述设备的显示屏上显示所述垃圾类别。The prompt module is specifically configured to display the garbage category on the display screen of the device.
  4. 根据权利要求1所述的设备，其特征在于，所述智能家电设备为清洁设备。The device according to claim 1, wherein the smart home appliance is a cleaning device.
  5. 根据权利要求4所述的设备，其特征在于，还包括：用于放置所述智能家电设备的充电座以及与所述充电座一体设置的分类存放垃圾的垃圾桶；所述垃圾桶包含多个垃圾容置筒；The device according to claim 4, further comprising: a charging dock for placing the smart home appliance and a trash can for sorting and storing garbage integrated with the charging dock; the trash can includes a plurality of Garbage container
    所述提示模块，具体用于通过指示灯指示所述垃圾类别对应的垃 圾容置筒；The prompt module is specifically configured to indicate the garbage container corresponding to the garbage category through an indicator light;
    和/或者，And/or,
    所述提示模块，具体用于控制所述垃圾类别对应的垃圾容置筒上的筒盖打开。The prompt module is specifically used to control the opening of the lid on the garbage container corresponding to the garbage category.
  6. 一种智能家电设备，其特征在于，包括：A smart home appliance is characterized in that it includes:
    摄像头，用于采集垃圾图像；Camera, used to collect garbage images;
    无线模块，用于将所述摄像头采集的垃圾图像上传至云端，以使所述云端识别所述垃圾图像上的垃圾所属的垃圾类别；A wireless module, configured to upload the garbage image collected by the camera to the cloud, so that the cloud can identify the garbage category to which the garbage on the garbage image belongs;
    所述无线模块，还用于接收云端返回的垃圾类别；The wireless module is also used to receive the garbage category returned by the cloud;
    提示模块，用于向用户提示所述垃圾类别。The prompt module is used to prompt the user of the garbage category.
  7. 根据权利要求6所述的设备，其特征在于，还包括：The device according to claim 6, further comprising:
    图像识别模块，用于识别摄像头采集的垃圾图像上垃圾所属的垃圾类别。The image recognition module is used to identify the garbage category to which the garbage belongs on the garbage image collected by the camera.
  8. 一种垃圾分类方法，其特征在于，所述方法应用于上述权利要求1～5任一项所述的智能家电设备，所述方法包括：A garbage classification method, characterized in that the method is applied to the smart home appliance according to any one of claims 1 to 5, and the method comprises:
    采集用户语音，所述用户语音包含垃圾名信息；Collect user voice, where the user voice includes spam name information;
    将采集的用户语音上传至云端，并接收云端返回的垃圾类别；Upload the collected user voice to the cloud, and receive the garbage category returned by the cloud;
    向用户提示所述垃圾类别。Prompt the user of the garbage category.
  9. 根据权利要求8所述的方法，其特征在于，采集用户语音之后，所述方法还包括：The method according to claim 8, wherein after collecting the user's voice, the method further comprises:
    在本地将所述用户语音识别为垃圾名并分析所述垃圾名所属的垃圾类别；Locally recognizing the user's voice as a rubbish name and analyzing the rubbish category to which the rubbish name belongs;
    向用户提示所述垃圾类别。Prompt the user of the garbage category.
  10. 一种垃圾分类方法，其特征在于，所述方法应用于上述权利要求6～7任一项所述的智能家电设备，所述方法包括：A garbage classification method, characterized in that the method is applied to the smart home appliance according to any one of claims 6 to 7, and the method comprises:
    采集垃圾图像；Collect garbage images;
    将采集的垃圾图像上传至云端，并接收所述云端返回的垃圾类别；Upload the collected garbage images to the cloud, and receive the garbage category returned by the cloud;
    向用户提示所述垃圾类别。Prompt the user of the garbage category.
  11. 根据权利要求10所述的方法，其特征在于，采集垃圾图像之后，所述方法还包括：The method according to claim 10, characterized in that, after the garbage image is collected, the method further comprises:
    在本地识别所述垃圾图像上垃圾所属的垃圾类别，并向用户提示所述垃圾类别。Locally identify the garbage category to which the garbage on the garbage image belongs, and prompt the user of the garbage category.
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