CN113830459B - Garbage can control method and device and electronic equipment - Google Patents
Garbage can control method and device and electronic equipment Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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- 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
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- 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
- B65F1/16—Lids or covers
- B65F1/1623—Lids or covers with means for assisting the opening or closing thereof, e.g. springs
- B65F1/1638—Electromechanically operated lids
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- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
- B65F2001/008—Means for automatically selecting the receptacle in which refuse should be placed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/138—Identification means
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- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/176—Sorting means
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- 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
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- 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
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Abstract
The disclosure provides a garbage can control method, a garbage can control device and electronic equipment, wherein the method comprises the following steps: under the condition that garbage to be delivered of a target object is obtained, a garbage can to be delivered is determined, and the garbage can to be delivered is located in a garbage booth; identifying the garbage through a first camera arranged in the garbage kiosk to determine a first garbage category; controlling a target garbage can in the garbage kiosk to be opened; wherein the target trash can is the to-be-delivered trash can if the to-be-delivered trash can matches the first trash category. The garbage classification delivery accuracy can be improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a garbage can control method and device and electronic equipment.
Background
At present, garbage is classified and managed. The garbage can be classified into kitchen garbage, recyclable garbage, harmful garbage, dry garbage and the like. The garbage classification management mainly depends on the user to voluntarily deliver the corresponding garbage to the corresponding garbage can to complete the garbage classification work. But only rely on the user's own judgement to carry out the refuse classification delivery, easily cause and deliver the mistake, lead to the refuse classification delivery degree of accuracy low.
Disclosure of Invention
The embodiment of the disclosure provides a garbage can control method and device and electronic equipment, and aims to solve the problems that in the prior art, delivery errors are easily caused and the accuracy of garbage classification delivery is low because garbage classification delivery is carried out only by depending on judgment of a user.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present disclosure provides a trash can control method, where the method includes:
under the condition that garbage to be delivered of a target object is obtained, a garbage can to be delivered is determined, and the garbage can to be delivered is located in a garbage booth;
identifying the garbage through a first camera arranged in the garbage kiosk to determine a first garbage category;
controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the to-be-delivered trash can if the to-be-delivered trash can matches the first trash category.
In a second aspect, the disclosed embodiments provide a trash can control device, the device including:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining a to-be-delivered garbage can under the condition that the to-be-delivered garbage of a target object is obtained, and the to-be-delivered garbage can is positioned in a garbage kiosk;
the second determining module is used for identifying the garbage through a first camera arranged in the garbage kiosk and determining a first garbage category;
the control module is used for controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the trash can to be delivered under the condition that the trash can to be delivered is matched with the first trash category.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a memory, a processor and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps in the trash can control method according to the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the trash can control method according to the first aspect.
In the embodiment of the disclosure, by controlling the opening of the target garbage can in the garbage kiosk, a user does not need to manually open the garbage can for delivering garbage when delivering the garbage, so that the efficiency of delivering the garbage can be improved; and under the condition that the garbage can to be delivered is matched with the first garbage category, the target garbage can is determined to be the garbage can to be delivered, whether the target object is correctly classified or not can be determined before the target object delivers the garbage, and therefore the garbage classification delivery accuracy can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments of the present disclosure will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of a trash can controlling method provided by an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a trash can control device provided in an embodiment of the disclosure;
fig. 3 is a second schematic structural diagram of a garbage can control device according to an embodiment of the present disclosure;
fig. 4 is a third schematic structural diagram of a garbage can control device provided in the embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, not all, embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the disclosed embodiment, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted mobile terminal, a wearable device, a pedometer, and the like.
Referring to fig. 1, fig. 1 is a flowchart of a trash can control method provided by an embodiment of the present disclosure, as shown in fig. 1, including the following steps:
The method comprises the steps that voice information of a target object can be received, the position of the target object is determined based on sound source positioning under the condition that the voice information contains a preset awakening word, the preset awakening word is used for determining garbage to be delivered of the target object, and the garbage to be delivered is determined according to the position of the target object; or receiving voice information of the target object, analyzing the voice information, and determining a to-be-delivered trash can based on the trash category in the voice information; or, identifying a garbage can which is less than a preset distance away from the target object and is closest to the target object through the first camera, and taking the garbage can as a to-be-delivered garbage can; etc., which are not limited by the present embodiment. The target object may have a contact relationship with garbage.
After receiving the voice information of the target object, the voice information may be converted into text information, the text information may be parsed into semantic information and keywords, the trash category information spoken by the target object may be identified according to the semantic information and the keywords, and the trash can corresponding to the trash category information may be used as the trash can to be delivered.
It should be noted that the trash can control method can be applied to electronic devices. The target object may be a person. The target object can be identified through the first camera, and the welcome words and welcome animations can be played under the condition that the garbage to be delivered of the target object is obtained. The corresponding welcome language and welcome animation can be played according to the type of the target object, for example, if the target object is a child, a lovely animation image and welcome language can be used.
And 102, identifying the garbage through a first camera arranged in the garbage kiosk to determine a first garbage category.
Wherein the first camera may identify the garbage based on a neural network model to determine a first garbage category of the garbage. The garbage category may be kitchen garbage, recyclable garbage, harmful garbage, dry garbage, or the like, and the first garbage category may be one of the garbage categories. The neural network model may be a deep neural network model, and the structure of the neural network model is not limited in this embodiment. The neural network model can be trained through a large number of training samples, so that the trained neural network model can accurately identify the garbage category of garbage. The first camera can also perform face recognition on the target object to determine identity information of the target object.
103, controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the to-be-delivered trash can if the to-be-delivered trash can matches the first trash category.
In addition, in the case that the to-be-delivered trash can is not matched with the first trash category, the target trash can be determined based on the historical trash delivery condition of the target object, and the target trash can is the to-be-delivered trash can or the trash can corresponding to the first trash category; or, when the to-be-delivered trash can is not matched with the first trash category, it may be determined that the target trash can is a trash can corresponding to the first trash category; and the like, which is not limited by the present embodiment.
It should be noted that, under the condition that the garbage category corresponding to the garbage collected by the to-be-delivered garbage can is the same as the first garbage category, the to-be-delivered garbage can is considered to be matched with the first garbage category; under the condition that the garbage category corresponding to the garbage collected by the garbage can to be delivered is different from the first garbage category, the garbage can to be delivered can be considered to be not matched with the first garbage category.
In addition, after the target garbage can in the garbage kiosk is controlled to be opened, the garbage can be identified through a garbage category detection device arranged in the target garbage can, and a second garbage category is determined. The alarm sound can be played when the target object is detected to discard the garbage outside the target garbage can. After the target object is far away from the garbage kiosk, the target garbage can be controlled to be closed, and other modules except the first camera in the electronic equipment are controlled in a dormant mode, so that power consumption is reduced.
It should be noted that, for the targeted reminding of the target object according to the delivered result, the reminding is performed after the event occurs, so that a large amount of garbage classification errors still occur, the embodiment can prevent misclassification, and it can be determined whether the target object is correctly classified before the target object delivers the garbage, so that the garbage classification management effect can be improved.
In the embodiment of the disclosure, by controlling the opening of the target trash can in the trash booth, a user does not need to manually open the trash can for trash delivery when delivering trash, and the efficiency of trash delivery can be improved; and under the condition that the garbage can to be delivered is matched with the first garbage category, the target garbage can is determined to be the garbage can to be delivered, whether the target object is correctly classified or not can be determined before the target object delivers the garbage, and therefore the garbage classification delivery accuracy can be improved.
Optionally, the first camera identifies the garbage based on a neural network model;
after the controlling the target trash can in the trash booth is opened, the method further comprises:
identifying the garbage through a garbage category detection device arranged in the target garbage can, and determining a second garbage category;
adding the images collected by the first camera aiming at the garbage and the second garbage category to a training sample set under the condition that the second garbage category is different from the first garbage category;
wherein the training sample set is used for training the neural network model to update the model parameters of the neural network model.
Additionally, the second waste category may be kitchen waste, recyclable waste, hazardous waste, or dry waste, among others. The garbage category detection device can comprise a second camera which can be used for identifying the garbage category of the garbage; or the garbage category detection device can comprise a second camera and a weighing unit, the weighing unit can be used for determining the weight of the garbage, and the garbage category of the garbage can be identified together through the second camera and the weighing unit; alternatively, the garbage category detecting device may include a second camera, a weighing unit, and other units that can be used for garbage category detection, and the like, which is not limited in this embodiment. For the state that first camera is drawed by the target object at rubbish, discernment rubbish classification of rubbish, the rubbish classification of rubbish can more accurately be discerned to the second camera that is located the bucket.
In this embodiment, the garbage is identified by a garbage category detection device arranged in the target garbage can, and a second garbage category is determined; and under the condition that the second garbage category is different from the first garbage category, adding the images acquired by the first camera aiming at the garbage and the second garbage category to a training sample set. In this way, the model parameters of the neural network model can be updated according to the detection result of the garbage type detection device, so that the accuracy of recognizing the garbage type by the first camera can be improved.
Optionally, the method further includes:
if the to-be-delivered garbage can is matched with the second garbage category, increasing the number of times that the target object garbage is correctly classified;
if the to-be-delivered garbage can is not matched with the second garbage category, increasing the number of times of garbage classification errors of the target object;
updating the historical garbage delivery condition of the target object based on the times that the garbage classification of the target object is correct and the times that the garbage classification of the target object is wrong;
and sending the historical garbage delivery condition of the target object to the target object.
If the to-be-delivered trash can is matched with the second trash category, the number of times that the target object is correctly classified is increased by 1 time; if the to-be-delivered trash can is not matched with the second trash category, the number of times of the target object trash classification errors can be increased by 1 time. Under the condition that the garbage category corresponding to the garbage collected by the garbage can to be delivered is the same as the second garbage category, the garbage can to be delivered can be considered to be matched with the second garbage category; under the condition that the garbage category corresponding to the garbage collected by the to-be-delivered garbage can is different from the second garbage category, the to-be-delivered garbage can and the second garbage category can be considered to be not matched.
In addition, the historical garbage delivery condition can comprise the times that the garbage classification of the target object is correct and the times that the garbage classification is wrong; or, the historical garbage delivery condition may include the number of times the target object delivers the garbage and the number of times of garbage classification errors; or, the historical garbage delivery condition may include the number of times the target object delivers the garbage and the number of times the garbage classification is correct; etc., which are not limited by the present embodiment.
It should be noted that an information template may be set, and the information template may collect the number of times that the target object is correct for garbage classification and the number of times that the target object is incorrect for garbage classification. Furthermore, the information template can also collect correct garbage categories corresponding to wrongly delivered garbage of the target object under the condition of wrong garbage classification. The information template can be sent to the terminal equipment bound with the identity information of the target object so as to prompt the target object to carry out correct garbage classification. Therefore, the actual garbage classification situation of the target object can be grasped, and a targeted garbage classification suggestion is given.
In addition, before increasing the number of times that the target object is correct in garbage classification or increasing the number of times that the target object is incorrect in garbage classification, the identity information of the target object may be determined. The determining of the identity information of the target object may be matching a biological characteristic of the target object with a biological characteristic in pre-stored identity information, and using identity information corresponding to the successfully matched biological characteristic as the identity information of the target object. The biometric features may be voice print features or face features, etc. For example, voice information of the target object may be received, voiceprint features of the target object may be extracted based on the voice information, the voiceprint features of the target object may be matched with voiceprint features in pre-stored identity information, and identity information corresponding to the voiceprint features that are successfully matched may be used as identity information of the target object; or the face features of the target object can be shot through the first camera, the face features of the target object are matched with the face features in the pre-stored identity information, and the identity information corresponding to the successfully matched face features is used as the identity information of the target object.
In the embodiment, the historical garbage delivery condition of the target object is updated based on the times that the garbage classification of the target object is correct and the times that the garbage classification of the target object is incorrect; and sending the historical garbage delivery condition of the target object to the target object. Thus, the target object can be prompted to perform correct garbage classification.
Optionally, before controlling the target trash can in the trash booth to be opened, the method further includes:
under the condition that the to-be-delivered trash can is not matched with the first trash category, determining the target trash can based on the historical trash delivery condition of the target object;
and the historical garbage delivery condition is used for representing the accuracy of garbage classification when the target object delivers the garbage.
In addition, the target trash can is determined based on the historical trash delivery condition of the target object, and the target trash can is determined to be the trash can to be delivered and/or determined to be the trash can corresponding to the first trash category when the number of times of delivering the trash by the target object is larger than a first preset number of times and the number of times of trash classification errors is smaller than a second preset number of times; or, when the ratio of the number of times of the target object garbage classification error to the number of times of delivering the garbage is smaller than a preset ratio, determining that the target garbage can is the garbage can to be delivered, and/or when the ratio of the number of times of the target object garbage classification error to the number of times of delivering the garbage is larger than or equal to the preset ratio, determining that the target garbage can is the garbage can corresponding to the first garbage category; etc., which are not limited by the present embodiment.
In this embodiment, when the to-be-delivered trash can is not matched with the first trash category, the target trash can is determined based on the historical trash delivery condition of the target object, so that the trash classification capability of the target object can be evaluated according to the historical trash delivery condition of the target object, and the target trash can be determined based on the trash classification capability of the target object.
Optionally, the determining the target trash can based on the historical trash delivery condition of the target object includes:
determining the target garbage can as the garbage can to be delivered under the condition that the times of delivering the garbage by the target object are greater than a first preset time and the times of classifying the garbage wrongly are less than a second preset time;
and determining the target garbage can to be the garbage can corresponding to the first garbage category when the number of times of delivering the garbage by the target object is greater than the first preset number of times and the number of times of the garbage classification errors is greater than or equal to the second preset number of times.
The first preset number of times may be greater than the second preset number of times. The first preset number may be 300 times, 500 times, or 1000 times, etc., and this embodiment does not limit this. The second predetermined number may be 3 times, 10 times, or 50 times, etc., and this embodiment is not limited thereto.
In this embodiment, when the garbage classification capability of the target object is higher, the target garbage can is determined to be the garbage can to be delivered, and when the garbage classification capability of the target object is lower, the target garbage can is determined to be the garbage can corresponding to the first garbage category, so that the target garbage can be determined more accurately.
Optionally, the garbage is identified by a first camera arranged in the garbage kiosk, including:
identifying the garbage through a first camera arranged in the garbage kiosk under the condition that the number of times of delivering the garbage by the target object is greater than a third preset number of times and the number of times of garbage classification errors is greater than or equal to a fourth preset number of times;
the method further comprises the following steps:
and under the condition that the times of delivering the garbage by the target object are greater than the third preset times and the times of classifying the garbage wrongly are less than the fourth preset times, determining the target garbage can as the garbage can to be delivered.
The third preset number may be equal to or not equal to the first preset number, and the third preset number may be greater than the fourth preset number. The third preset number may be 300, 500, or 1000, and so on, which is not limited in this embodiment. The fourth preset number may be 2, 3, or 5, and so on, which is not limited in this embodiment.
In this embodiment, when the number of times that the target object delivers the trash is greater than the third preset number of times and the number of times that the trash classification error is smaller than the fourth preset number of times, the target trash can is determined to be the trash can to be delivered, so that when the trash classification capability of the target object is high, the first camera is not started to identify the trash type, and the power consumption of the first camera can be reduced.
Optionally, determining the to-be-delivered trash bin when the to-be-delivered trash of the target object is obtained includes:
receiving voice information of the target object;
determining the position of the target object based on sound source positioning under the condition that the voice information contains a preset awakening word, wherein the preset awakening word is used for determining the to-be-delivered garbage of the target object;
and determining the garbage can to be delivered according to the position of the target object.
Wherein, the voice information of the target object can be received through the microphone array, and the sound source positioning is carried out. After receiving the voice information of the target object, the voice information can be converted into text information, the text information is analyzed, and whether the voice information comprises a preset awakening word or not is identified. The preset awakening word may be "open the door," or "lose rubbish," or "open the trash can," and so on, and the preset awakening word is not limited in this embodiment.
In addition, in order to be able to further accurately determine the position where the target object is located, the position where the target object is located may be determined based on both the sound source localization and the image captured by the first camera. The trash can closest to the position where the target object is located in the trash booth can be determined as the trash can to be delivered; alternatively, the distance between the target object and the trash bin in the trash kiosk is less than the preset distance, and the trash bin closest to the target object is determined as the trash bin to be delivered.
For example, four trash cans arranged side by side can be arranged in the trash bin, the microphone array can be arranged in the middle of the four trash cans, sound source positioning can be performed through the microphone array, the angle of the target object relative to the microphone array is determined, and therefore the trash can closest to the target object can be determined. When the sound source positioning determines that a plurality of garbage cans closest to the target object exist, the body orientation of the target object can be identified through the first camera, and the garbage can with the orientation determined by the first camera from the garbage cans is the garbage can to be delivered.
It should be noted that the electronic device may be wakened up after receiving the preset wake-up word, and a subsequent step of controlling the trash can is performed, so that entry and processing of useless noise can be reduced, and a false trigger rate can be reduced.
In this embodiment, when the voice message includes a preset wake-up word, the position of the target object is determined based on sound source positioning, and the to-be-delivered trash can is determined according to the position of the target object, so that the to-be-delivered trash can be determined quickly and accurately.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a trash can control device according to an embodiment of the present disclosure, and as shown in fig. 2, the trash can control device 200 includes:
the first determining module 201 is configured to determine a to-be-delivered trash can under the condition that the to-be-delivered trash of the target object is obtained, where the to-be-delivered trash can is located in a trash booth;
a second determining module 202, configured to identify the garbage through a first camera arranged in the garbage kiosk, and determine a first garbage category;
the control module 203 is used for controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the trash can to be delivered under the condition that the trash can to be delivered is matched with the first trash category.
Optionally, the first camera identifies the garbage based on a neural network model;
the control module 203 is further configured to:
identifying the garbage through a garbage category detection device arranged in the target garbage can, and determining a second garbage category;
adding the images acquired by the first camera for the garbage and the second garbage category to a training sample set under the condition that the second garbage category is different from the first garbage category;
wherein the training sample set is used for training the neural network model to update the model parameters of the neural network model.
Optionally, the control module 203 is further configured to:
if the to-be-delivered trash can is matched with the second trash category, increasing the number of times that the target object is correctly classified;
if the to-be-delivered garbage can is not matched with the second garbage category, increasing the number of times of garbage classification errors of the target object;
updating the historical garbage delivery condition of the target object based on the times that the garbage classification of the target object is correct and the times that the garbage classification of the target object is wrong;
and sending the historical garbage delivery condition of the target object to the target object.
Optionally, as shown in fig. 3, the apparatus 200 further includes:
a third determining module 204, configured to determine the target trash can based on historical trash delivery conditions of the target object if the to-be-delivered trash can does not match the first trash category;
and the historical garbage delivery condition is used for representing the accuracy of garbage classification when the target object delivers the garbage.
Optionally, the third determining module 204 is specifically configured to:
if the to-be-delivered trash can does not match the first trash category;
determining the target garbage can as the garbage can to be delivered under the condition that the times of delivering the garbage by the target object are greater than a first preset time and the times of classifying the garbage wrongly are less than a second preset time;
and determining the target garbage can to be the garbage can corresponding to the first garbage category when the number of times of delivering the garbage by the target object is greater than the first preset number of times and the number of times of the garbage classification errors is greater than or equal to the second preset number of times.
Optionally, the second determining module 202 is specifically configured to:
when the number of times of delivering the garbage by the target object is greater than a third preset number of times and the number of times of wrong garbage classification is greater than or equal to a fourth preset number of times, identifying the garbage through a first camera arranged in the garbage kiosk;
as shown in fig. 4, the apparatus 200 further comprises:
a fourth determining module 205, configured to determine that the target trash can is the to-be-delivered trash can when the number of times that the target object delivers the trash is greater than the third preset number of times and the number of times that the trash classification is incorrect is less than the fourth preset number of times.
Optionally, the first determining module 202 is specifically configured to:
receiving voice information of the target object;
determining the position of the target object based on sound source positioning under the condition that the voice information contains a preset awakening word, wherein the preset awakening word is used for determining the to-be-delivered garbage of the target object;
and determining the garbage can to be delivered according to the position of the target object.
The trash can control device can implement each process implemented in the method embodiment of fig. 1, and can achieve the same technical effect, and is not described herein again to avoid repetition.
As shown in fig. 5, an embodiment of the present disclosure further provides an electronic device 300, including: the memory 302, the processor 301, and a program stored in the memory 302 and capable of running on the processor 301, where the program, when executed by the processor 301, implements the processes of the garbage can control method embodiment, and can achieve the same technical effects, and are not described herein again to avoid repetition.
The embodiment of the present disclosure further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the garbage can control method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
While the disclosed embodiments have been described in connection with the appended drawings, the present invention is not limited to the specific embodiments described above, which are intended to be illustrative rather than limiting, and it will be appreciated by those of ordinary skill in the art that, in light of the teachings of the present invention, many modifications may be made without departing from the spirit and scope of the invention as set forth in the appended claims.
Claims (7)
1. A trash can control method, the method comprising:
under the condition that the garbage to be delivered of the target object is obtained, determining a garbage can to be delivered, wherein the garbage can to be delivered is positioned in a garbage booth;
identifying the garbage through a first camera arranged in the garbage kiosk to determine a first garbage category;
controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the to-be-delivered trash can if the to-be-delivered trash can matches the first trash category;
the determining the garbage can to be delivered under the condition of acquiring the garbage to be delivered of the target object comprises the following steps:
receiving voice information of the target object;
determining the position of the target object based on sound source positioning under the condition that the voice information contains a preset awakening word, wherein the preset awakening word is used for determining the garbage to be delivered of the target object;
determining the garbage can to be delivered according to the position of the target object;
the first camera identifies the garbage based on a neural network model;
after the controlling the target trash can in the trash booth is opened, the method further comprises:
identifying the garbage through a garbage category detection device arranged in the target garbage can, and determining a second garbage category;
adding the images acquired by the first camera for the garbage and the second garbage category to a training sample set under the condition that the second garbage category is different from the first garbage category;
wherein the training sample set is used for training the neural network model to update model parameters of the neural network model;
the method further comprises the following steps:
if the to-be-delivered garbage can is matched with the second garbage category, increasing the number of times that the target object garbage is correctly classified;
if the to-be-delivered trash can is not matched with the second trash category, increasing the number of times of the target object trash classification errors;
updating the historical garbage delivery condition of the target object based on the times that the garbage classification of the target object is correct and the times that the garbage classification of the target object is wrong;
and sending the historical garbage delivery condition of the target object to the target object.
2. The method of claim 1, wherein prior to said controlling a target trash can within the trash kiosk to open, the method further comprises:
determining the target garbage can based on the historical garbage delivery condition of the target object under the condition that the garbage can to be delivered is not matched with the first garbage category;
and the historical garbage delivery condition is used for representing the accuracy degree of garbage classification when the target object delivers garbage.
3. The method of claim 2, wherein determining the target trash can based on historical trash delivery of the target object comprises:
determining the target garbage can as the garbage can to be delivered under the condition that the times of delivering the garbage by the target object are greater than a first preset time and the times of classifying the garbage wrongly are less than a second preset time;
and determining the target garbage can to be the garbage can corresponding to the first garbage category when the number of times of delivering the garbage by the target object is greater than the first preset number of times and the number of times of the garbage classification errors is greater than or equal to the second preset number of times.
4. The method of claim 1, wherein said identifying the trash with a first camera disposed within the kiosk comprises:
when the number of times of delivering the garbage by the target object is greater than a third preset number of times and the number of times of wrong garbage classification is greater than or equal to a fourth preset number of times, identifying the garbage through a first camera arranged in the garbage kiosk;
the method further comprises the following steps:
and under the condition that the times of delivering the garbage by the target object are greater than the third preset times and the times of classifying the garbage wrongly are less than the fourth preset times, determining the target garbage can as the garbage can to be delivered.
5. A trash can controlling device, the device comprising:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining a to-be-delivered garbage can under the condition that the to-be-delivered garbage of a target object is obtained, and the to-be-delivered garbage can is positioned in a garbage kiosk;
the second determining module is used for identifying the garbage through a first camera arranged in the garbage kiosk and determining a first garbage category;
the control module is used for controlling a target garbage can in the garbage kiosk to be opened;
wherein the target trash can is the trash can to be delivered under the condition that the trash can to be delivered is matched with the first trash category;
the first determining module is specifically configured to:
receiving voice information of the target object;
determining the position of the target object based on sound source positioning under the condition that the voice information contains a preset awakening word, wherein the preset awakening word is used for determining the garbage to be delivered of the target object;
determining the garbage can to be delivered according to the position of the target object;
the first camera identifies the garbage based on a neural network model;
the control module is further configured to:
identifying the garbage through a garbage category detection device arranged in the target garbage can, and determining a second garbage category;
adding the images acquired by the first camera for the garbage and the second garbage category to a training sample set under the condition that the second garbage category is different from the first garbage category;
wherein the training sample set is used for training the neural network model to update model parameters of the neural network model;
the control module is further configured to:
if the to-be-delivered garbage can is matched with the second garbage category, increasing the number of times that the target object garbage is correctly classified;
if the to-be-delivered trash can is not matched with the second trash category, increasing the number of times of the target object trash classification errors;
updating the historical garbage delivery condition of the target object based on the times that the garbage classification of the target object is correct and the times that the garbage classification of the target object is wrong;
and sending the historical garbage delivery condition of the target object to the target object.
6. An electronic device, comprising: memory, processor and program stored on the memory and executable on the processor, which when executed by the processor implements the steps in the trash can control method of any of claims 1-4.
7. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of a trash can control method according to any one of claims 1-4.
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