Sampling inspection method applied to door-to-door cleaning service and program product
By introducing random inspection methods in the home-to-door cleaning service, using the image shooting page and the indication information determined by the intelligent model, the problem of poor service quality is solved, and higher service quality and random inspection accuracy is achieved.
Patent Information
- Application Number
- CN202510288307.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2025-06-27
AI Technical Summary
The lack of control of home cleaning service personnel in the offline environment has led to poor service quality, and how to improve service quality has become an urgent problem.
It provides a random inspection method applied to home-based cleaning services. Through the image shooting page, users are guided to take and upload images of the finished items based on the image shooting instructions determined by the intelligent model, and conduct random inspections to ensure that users, serving users and service categories are different to issue different instructions and avoid duplicate or incorrect uploads.
The accuracy and comprehensiveness of random inspections have been improved, and the service quality of on-site cleaning services has been further improved.
Smart Images

Figure CN120218722A_ABST
Abstract
Description
Background Art
[0002] With the development of the times, more and more users choose door-to-door cleaning services. Door-to-door cleaning services have the advantages of convenience and high efficiency. However, due to the lack of control over cleaning service personnel in the offline environment, the current door-to-door cleaning services have the problem of poor service quality. How to improve the service quality of door-to-door cleaning service personnel is an urgent problem for those skilled in the art to solve.
[0003] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention
[0004] The present disclosure provides a sampling inspection and program product applied to door-to-door cleaning services, which at least improves the service quality of door-to-door cleaning service personnel.
[0005] Other features and advantages of the present disclosure will become apparent from the following detailed description, or will be partially learned through the practice of the present disclosure.
[0006] According to one aspect of the present disclosure, there is provided a sampling inspection method applied to door-to-door cleaning services, including:
[0007] In an embodiment of the present disclosure, in response to the user selecting a task completion control, it jumps to an image capture page, and the image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected from a preset image capture indication information library by an intelligent model based on the user's historical service information, the indicated information of the served user, and the service category. The image capture indication information includes at least one of the item information indicating the user to capture, the angle information of the captured item, and the image example information.
[0008] In response to the user selecting the image capture control and capturing a sampling inspection image, determine whether the number of items captured by the user reaches a preset number;
[0009] In the case where the number of items captured by the user reaches the preset number, the sampling inspection is completed.
[0010] In an embodiment of the present disclosure, in the case where the number of items captured by the user reaches the preset number, completing the sampling inspection includes:
[0011] In the case where the number of items captured by the user reaches the preset number, display a sampling inspection completion control;
[0012] In response to the user selecting the sampling inspection completion control, upload the sampling inspection image to complete the sampling inspection.
[0013] In an embodiment of the present disclosure, the method further includes:
[0014] When the randomly inspected image captured by the user does not conform to the image capture instruction information, a prompt message is displayed, and the prompt message is used to prompt the user to re-capture the randomly inspected image.
[0015] In an embodiment of the present disclosure, the image capture page further includes a random inspection timer, and the method further includes:
[0016] After jumping to the image capture page, the random inspection timer starts;
[0017] When the random inspection timer reaches a preset threshold, the random inspection is completed.
[0018] In an embodiment of the present disclosure, the method further includes:
[0019] Display the randomly inspected image captured by the user;
[0020] In response to the user's deletion operation on the randomly inspected image, delete the randomly inspected image.
[0021] In an embodiment of the present disclosure, the image capture page further includes an item switching control, and the method further includes:
[0022] In response to the user selecting the item switching control, update the image capture instruction information.
[0023] In an embodiment of the present disclosure, the method further includes:
[0024] When the number of update times reaches a preset number, upload the captured randomly inspected image to complete the random inspection.
[0025] In an embodiment of the present disclosure, the method further includes:
[0026] When the number of items captured by the user does not reach a preset number, in response to the user selecting the continue random inspection control, update the image capture instruction information.
[0027] In an embodiment of the present disclosure, the method further includes:
[0028] In response to the user selecting the sign-in control, obtain the user's audio information.
[0029] Based on the large model, process the audio information and the randomly inspected image to obtain the random inspection result.
[0030] According to another aspect of the present disclosure, there is provided a random inspection device applied to door-to-door cleaning services, including:
[0031] The first jump module is used to jump to the image capture page in response to the user selecting the task completion control. The image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by the intelligent model from a preset image capture indication information library based on the user's historical service information, the indicated information of the user being served, and the service category. The image capture indication information includes at least one of the information of the item for the user to capture, the angle information of the item to be captured, and the image example information.
[0032] The first determination module is used to determine whether the number of items captured by the user reaches a preset number in response to the user selecting the image capture control and capturing the spot-check image.
[0033] The first completion module is used to complete the spot-check when the number of items captured by the user reaches the preset number.
[0034] In an embodiment of the present disclosure, the completion module includes:
[0035] The first display unit is used to display the spot-check completion control when the number of items captured by the user reaches the preset number.
[0036] The upload unit is used to upload the spot-check image and complete the spot-check in response to the user selecting the spot-check completion control.
[0037] In an embodiment of the present disclosure, the device further includes:
[0038] The first display module is used to display a prompt message when the spot-check image captured by the user does not conform to the image capture indication information. The prompt message is used to prompt the user to re-capture the spot-check image.
[0039] In an embodiment of the present disclosure, the image capture page further includes a spot-check timer. The device further includes:
[0040] The timing module is used to start the spot-check timer after jumping to the image capture page.
[0041] The second completion module is used to complete the spot-check when the spot-check timer reaches a preset threshold.
[0042] In an embodiment of the present disclosure, the device further includes:
[0043] The second display module is used to display the spot-check image captured by the user.
[0044] The deletion module is used to delete the spot-check image in response to the user's deletion operation on the spot-check image.
[0045] In an embodiment of the present disclosure, the image capture page further includes an item switching control. The device further includes:
[0046] A first update module, configured to update the image capture indication information in response to a user selecting an item switching control.
[0047] In an embodiment of the present disclosure, the apparatus further includes:
[0048] A third completion module, configured to upload the captured random inspection images and complete the random inspection when the number of updates reaches a preset number.
[0049] In an embodiment of the present disclosure, the apparatus further includes:
[0050] A second update module, configured to update the image capture indication information in response to a user selecting a continue random inspection control when the number of items captured by the user does not reach a preset number.
[0051] In an embodiment of the present disclosure, the apparatus further includes:
[0052] An acquisition module, configured to acquire user audio information in response to a user selecting a check-in control.
[0053] A processing module, configured to process the audio information and the random inspection images based on a large model to obtain a random inspection result.
[0054] According to still another aspect of the present disclosure, there is provided an electronic device, including: a processor; and a memory for storing executable instructions of the processor; wherein, the processor is configured to execute the random inspection method for door-to-door cleaning service as described in any one of the above via executing the executable instructions.
[0055] According to another aspect of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the random inspection method for door-to-door cleaning service as described in any one of the above is implemented.
[0056] According to another aspect of the present disclosure, there is provided a computer program product, the computer program product including a computer program or computer instructions, and the computer program or computer instructions are loaded and executed by a processor to enable a computer to implement the random inspection method for door-to-door cleaning service as described in any one of the above.
[0057] In the embodiments of the present disclosure, in response to the user selecting the task completion control, the system jumps to the image capture page. On the image capture page, image capture instruction information is randomly selected from the image capture instruction information library based on the user's historical service information, the instructed information of the serviced user, and the service category, so as to guide the user to capture and upload an image of the cleaned item based on the image capture instruction information. Sampling inspection is performed based on the image uploaded by the user. Different image capture instruction information is sent to the user according to the differences among the user, the serviced user, and the service category, avoiding the user from repeatedly and incorrectly uploading images of the cleaned item, improving the accuracy and comprehensiveness of the sampling inspection, and further improving the service quality of the door-to-door cleaning service.
[0058] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0059] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure. Obviously, the accompanying drawings in the following description are only some embodiments of the present disclosure, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.
[0060] Figure 1 FIG. shows a schematic structural diagram of a sampling inspection system applied to door-to-door cleaning service in an embodiment of the present disclosure.
[0061] Figure 2 FIG. shows a flowchart of a sampling inspection method applied to door-to-door cleaning service in an embodiment of the present disclosure.
[0062] Figure 3 FIG. shows a schematic diagram of a door-to-door cleaning service page in an embodiment of the present disclosure.
[0063] Figure 4 FIG. shows a flowchart of another sampling inspection method applied to door-to-door cleaning service in an embodiment of the present disclosure.
[0064] Figure 5 FIG. shows another schematic diagram of a door-to-door cleaning service page in an embodiment of the present disclosure.
[0065] Figure 6 FIG. shows another schematic diagram of a door-to-door cleaning service page in an embodiment of the present disclosure.
[0066] Figure 7 FIG. shows a flowchart of another sampling inspection method applied to door-to-door cleaning service in an embodiment of the present disclosure.
[0067] Figure 8 FIG. shows a flowchart of yet another sampling inspection method applied to door-to-door cleaning service in an embodiment of the present disclosure.
[0068] Figure 9 Shows another schematic diagram of the in-home cleaning service page in the embodiments of the present disclosure.
[0069] Figure 10 Shows another flowchart of the sampling inspection method applied to the in-home cleaning service in the embodiments of the present disclosure.
[0070] Figure 11 Shows another flowchart of the sampling inspection method applied to the in-home cleaning service in the embodiments of the present disclosure.
[0071] Figure 12 Shows another flowchart of the sampling inspection method applied to the in-home cleaning service in the embodiments of the present disclosure.
[0072] Figure 13 Shows a schematic diagram of a sampling inspection device applied to the in-home cleaning service in the embodiments of the present disclosure.
[0073] Figure 14 Shows a structural block diagram of an electronic device in the embodiments of the present disclosure.
[0074] Figure 15 Shows a schematic diagram of a computer-readable storage medium in the embodiments of the present disclosure. Detailed implementation manners
[0075] Now, example embodiments will be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.
[0076] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.
[0077] It should be understood that the various steps recorded in the method embodiments of the present disclosure can be executed in a different order and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.
[0078] It should be noted that the concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.
[0079] It should be noted that the modifications of "one" and "multiple" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".
[0080] To solve the above problems, a sampling inspection method and a computer program product for door-to-door cleaning services are provided in this disclosure.
[0081] It should be pointed out that, without conflict, the embodiments of this disclosure and the technical features in the embodiments can be combined with each other.
[0082] In some application scenarios, the sampling inspection method for door-to-door cleaning services in this disclosure is mainly applicable to the terminal devices held by door-to-door cleaning service personnel. The above terminal devices need to have functions of shooting, displaying, and communicating.
[0083] The following will describe in detail the specific implementation methods of the embodiments of this disclosure with reference to the accompanying drawings.
[0084] Figure 1 FIG. shows a schematic structural diagram of a sampling inspection system for door-to-door cleaning services in an embodiment of this disclosure. This system can be applied to the sampling inspection method for door-to-door cleaning services and the sampling inspection device for door-to-door cleaning services in each embodiment of this disclosure.
[0085] As Figure 1 shown, the sampling inspection system 10 for door-to-door cleaning services may include a front-end display module 101 and a back-end processing module 102. In some embodiments, the front-end display module 101 and the back-end processing module 102 may be located on different devices. The front-end display module 101 may be a module on an electronic device with data shooting capabilities. The back-end processing module 102 may be a module on an electronic device with data processing capabilities such as a computer or a server. The front-end display module 101 and the back-end processing module 102 may be located on the same device. For example, the front-end display module 101 and the back-end processing module 102 may be the input module and the processing module on a computer or a mobile phone.
[0086] The front-end display module 101 and the back-end processing module 102 are communicatively connected through a network. This network can be a wired network or a wireless network.
[0087] Optionally, the above-mentioned wireless network or wired network uses standard communication technologies and / or protocols. The network is typically the Internet, but can also be any network, including but not limited to any combination of a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a private network or a virtual private network. In some embodiments, technologies and / or formats including Hyper Text Mark-up Language (HTML), Extensible Markup Language (XML), etc. are used to represent data exchanged through the network. Additionally, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet Protocol Security (IPsec), etc. can be used to encrypt all or some of the links. In other embodiments, customized and / or dedicated data communication technologies can be used to replace or supplement the above data communication technologies.
[0088] The following describes the case where the front-end display module 101 and the back-end processing module 102 are located on two different devices.
[0089] The front-end display module 101 can be located on a terminal device, which can be various electronic devices, including but not limited to smartphones, tablets, laptop computers, desktop computers, wearable devices, augmented reality devices, virtual reality devices, etc.
[0090] Optionally, the clients of the application programs installed in different terminal devices are the same, or clients of the same type of application programs based on different operating systems. Depending on the different terminal platforms, the specific form of the client of the application program can also be different. For example, the client of the application program can be a mobile client, a PC client, etc.
[0091] The back-end processing module 102 can be located on a server, which can be a server that provides various services, such as a background management server that supports the devices for the operations performed by users using terminal devices. The background management server can analyze and process data such as requests received, and feedback the processing results to the terminal devices.
[0092] Optionally, the server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), as well as big data and artificial intelligence platforms.
[0093] Figure 2 A flow chart of a sampling method for door-to-door cleaning service in an embodiment of the present disclosure is shown. Figure 2 As shown, the sampling inspection method applied to the door-to-door cleaning service in the embodiment of the present disclosure may include:
[0094] S210, in response to the user selecting the task completion control, jumps to the image shooting page, the image shooting page includes image shooting instruction information and image shooting controls, the image shooting instruction information is randomly extracted from a preset image shooting instruction information library by the intelligent model based on the user's historical service information, the served user's instruction information and the service category, and the image shooting instruction information includes at least one of the information of the object to be photographed by the user, the angle information of the object to be photographed and the image example information.
[0095] In some embodiments, the user's historical service information may include evaluation information of the user by the served user during the user's historical service process, wherein the evaluation information may include satisfactory evaluation and unsatisfactory evaluation.
[0096] In some embodiments, the indication information of the served user may include indication information published by the served user before and during the service acceptance process. The served user may publish indication information in advance, and the indication information published in advance by the served user is displayed to the current user in advance. The indication information published during the service acceptance process may include voice or text information published by the served user during the service process. Exemplarily, the terminal device of the current user may obtain the above voice information by recording.
[0097] In some embodiments, different service categories may correspond to different service categories, service items, and service cleanliness levels. Exemplarily, the service categories may include light cleaning, deep cleaning, and early cleaning.
[0098] In some embodiments, an image shooting instruction information library may be pre-established through spot-checked images uploaded by historical users and information corresponding to the spot-checked images.
[0099] In some embodiments, after the user selects the task completion control, the user's corresponding terminal device can send task completion information to the server. After receiving the task completion information, the server obtains the user's historical service information, the information indicated by the served user, and the service category, and then inputs the above-obtained information into the intelligent model. The intelligent model determines the image capture instruction information in the image capture instruction information library based on the model output result, and the server sends the above image capture instruction information to the user's corresponding terminal device so that the terminal device can display the image capture instruction information. The historical service information, the information indicated by the served user, the service category, and the image capture instruction information in the image capture instruction information library can also be input into the intelligent model, and the intelligent model determines the image capture instruction information applicable to the current user.
[0100] In some embodiments, the model determines the image capture instruction information based on the user's historical service information, the information indicated by the served user, the service category, and the preset image capture instruction information library, which can make the image capture instruction information received by different users different, improve the randomness of spot checks, avoid users from uploading spot-check images repeatedly and incorrectly, and further improve the service quality of users.
[0101] To elaborate on the method in the present disclosure, Figure 3 Fig. shows a schematic diagram of a door-to-door cleaning service page in an embodiment of the present disclosure. As Figure 3 shown, on the image capture page, the image instruction information includes an image example and the information of the item instructing the user to capture. Below the image example, an image capture control is displayed.
[0102] S220, in response to the user selecting the image capture control and capturing a spot-check image, determine whether the number of items captured by the user reaches a preset number.
[0103] In some embodiments, after the user selects the image capture control, the terminal device turns on the image capture mode. As Figure 3 shown, after the user finishes capturing one item, the user can select the "next" control on the image capture page to capture the next item.
[0104] In some embodiments, the preset number can be determined by relevant personnel, and the present disclosure does not make specific limitations.
[0105] In some embodiments, each item can correspond to multiple spot-check images.
[0106] In some embodiments, the above method further includes: in the case where the number of items captured by the user does not reach the preset number, in response to the user selecting the continue spot-check control, update the image capture instruction information.
[0107] In some embodiments, the method may further include: in response to the user selecting the continue sampling control, jumping to another image capture page and updating the image capture instruction information.
[0108] S230, when the number of items captured by the user reaches a preset number, complete the sampling inspection.
[0109] In the embodiments of the present disclosure, in response to the user selecting the task completion control, jumping to the image capture page, on the image capture page, randomly extracting image capture instruction information from the image capture instruction information library based on the user's historical service information, the instructed information of the user being served, and the service category, to guide the user to capture and upload an image of the cleaned item based on the image capture instruction information, performing sampling inspection based on the image uploaded by the user, and issuing different image capture instruction information to the user according to the differences in the user, the user being served, and the service category, avoiding the user from uploading duplicate or incorrect images of the cleaned item, improving the accuracy and comprehensiveness of the sampling inspection, and further improving the service quality of the in-home cleaning service.
[0110] Figure 4 Show a flowchart of another sampling inspection method applied to in-home cleaning service in the embodiments of the present disclosure. As Figure 4 shown, the sampling inspection method applied to in-home cleaning service in the embodiments of the present disclosure may include:
[0111] S410, in response to the user selecting the task completion control, jumping to the image capture page, the image capture page includes image capture instruction information and an image capture control, the image capture instruction information is randomly extracted from a preset image capture instruction information library by an intelligent model based on the user's historical service information, the instructed information of the user being served, and the service category, and the image capture instruction information includes at least one of the item information indicating the user to capture, the angle information of the captured item, and the image example information;
[0112] S420, in response to the user selecting the image capture control and capturing a sampling inspection image, determining whether the number of items captured by the user reaches a preset number;
[0113] S430, when the number of items captured by the user reaches a preset number, display a sampling inspection completion control;
[0114] For a detailed description of the present disclosure, Figure 5 Show another schematic diagram of the in-home cleaning service page in the embodiments of the present disclosure. As Figure 5 shown, on the image capture page, different from Figure 3 is that Figure 3 the "next" control in
[0115] S440. In response to the user selecting the sampling inspection completion control, upload the sampling inspection image to complete the sampling inspection.
[0116] In some embodiments, before the user selects the sampling inspection completion control after taking the sampling inspection image, the user can edit the taken sampling inspection image. After selecting the sampling inspection completion control, the uploaded sampling inspection image cannot be edited.
[0117] In some embodiments, the above method may further include:
[0118] In response to the user selecting the sampling inspection completion control, jump to the self-inspection page, and the self-inspection page includes an image capture control;
[0119] In response to the user selecting the image capture control and uploading the self-inspection captured image, jump to the acceptance page.
[0120] Figure 6 Show another schematic diagram of the on-site cleaning service page in an embodiment of the present disclosure, as Figure 6 shown, the image capture page includes image capture indication information, while the self-inspection page does not have image capture indication information.
[0121] In an embodiment of the present disclosure, a sampling inspection link is set outside the self-inspection link, and based on multiple items to be photographed for sampling inspection set by the user and the user to be served, the comprehensiveness of the sampling inspection can be ensured, and the service quality of the on-site service is improved.
[0122] Figure 7 Show another flow chart of the sampling inspection method applied to the on-site cleaning service in an embodiment of the present disclosure. As Figure 7 shown, the sampling inspection method applied to the on-site cleaning service in an embodiment of the present disclosure may include:
[0123] S710. In response to the user selecting the task completion control, jump to the image capture page. The image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by the intelligent model from a preset image capture indication information library based on the user's historical service information, the user to be served's indication information, and the service category. The image capture indication information includes at least one of the item information indicating the user to take a photo, the angle information of the item to be photographed, and the image example information;
[0124] S720. In response to the user selecting the image capture control and taking the sampling inspection image, determine whether the number of items taken by the user reaches the preset number;
[0125] S730. In the case where the number of items taken by the user reaches the preset number, complete the sampling inspection.
[0126] S740. When the randomly inspected image captured by the user does not conform to the image capture instruction information, a prompt message is displayed, which is used to prompt the user to re - capture the randomly inspected image.
[0127] In some embodiments, after the user captures a randomly inspected image, the user terminal may send the randomly inspected image captured by the user to the server. The server inputs the captured randomly inspected image and the image capture instruction information into an intelligent model, and the intelligent model inputs the result to indicate whether the randomly inspected image captured by the user conforms to the image capture instruction information. When it does not conform to the image capture instruction information, the server sends a prompt signal to the terminal, and the terminal displays the prompt message when receiving the prompt signal.
[0128] In some embodiments, the situation that the randomly inspected image does not conform to the image capture instruction information may include the following: the item corresponding to the randomly inspected image does not match the item indicated by the image capture instruction information, the angle of the item in the randomly inspected image does not match the shooting angle indicated by the image capture instruction information, and the clarity of the randomly inspected image does not meet the requirements.
[0129] In some embodiments, the prompt message may include at least one of the following: the item corresponding to the randomly inspected image does not match the item indicated by the image capture instruction information, the angle of the item in the randomly inspected image does not match the shooting angle indicated by the image capture instruction information, and the clarity of the randomly inspected image does not meet the requirements.
[0130] In the embodiments of the present disclosure, it is determined whether the randomly inspected image captured by the user conforms to the image capture instruction information through an intelligent model. When the randomly inspected image captured by the user does not conform to the image capture instruction information, a prompt message is displayed in real - time to prompt the user to re - capture the randomly inspected image, avoiding the problem of non - compliance with the random inspection caused by the randomly inspected image captured by the user not conforming to the image capture instruction information, and the real - time reminder to the user improves the efficiency of the random inspection.
[0131] Figure 8 Show a flowchart of another random inspection method applied to door - to - door cleaning service in the embodiments of the present disclosure. As Figure 8 shown, the random inspection method applied to door - to - door cleaning service in the embodiments of the present disclosure may include:
[0132] S810. In response to the user selecting the task completion control, jump to the image capture page. The image capture page includes image capture instruction information and an image capture control. The image capture instruction information is randomly selected by the intelligent model from a preset image capture instruction information library based on the user's historical service information, the instructed user information, and the service category. The image capture instruction information includes at least one of the item information indicating the item to be captured by the user, the angle information of the item to be captured, and the image example information.
[0133] S820. After jumping to the image capture page, the random inspection timing starts.
[0134] In some embodiments, the image capture page further includes a spot check timer, Figure 9 showing another schematic diagram of the in-home cleaning service page in an embodiment of the present disclosure, as Figure 9 shown, the spot check timer can count down.
[0135] In some embodiments, the spot check timer can further include a timing reminder, wherein the timing reminds the user to complete the spot check within the countdown period.
[0136] In some embodiments, the duration of the spot check timer can be determined by relevant personnel, and the present disclosure does not make any limitations.
[0137] In some embodiments, the duration of the spot check timer can be positively correlated with the set number of spot check images to be captured.
[0138] S830, when the spot check timer reaches a preset threshold, the spot check is completed.
[0139] In an embodiment of the present disclosure, by setting a spot check timer to limit the duration for the user to complete the spot check, it avoids the problem that the spot check loses randomness and supervision due to the user temporarily cleaning the spot check item after learning about it, and improves the service quality of the in-home cleaning service.
[0140] Figure 10 showing another flowchart of the spot check method applied to the in-home cleaning service in an embodiment of the present disclosure. As Figure 10 shown, the spot check method applied to the in-home cleaning service in an embodiment of the present disclosure can include:
[0141] S1010, in response to the user selecting the task completion control, jump to the image capture page. The image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by the intelligent model from a preset image capture indication information library based on the user's historical service information, the indicated information of the user being served, and the service category. The image capture indication information includes at least one of the item information indicating the user to capture, the angle information of the captured item, and the image example information;
[0142] S1020, display the spot check images captured by the user.
[0143] In some embodiments, by displaying the spot check images captured by the user, the user can timely learn whether the captured spot check images meet the requirements, so as to re-edit the spot check images that do not meet the requirements.
[0144] S1030, in response to the user's deletion operation on the spot check image, delete the spot check image.
[0145] In some embodiments, when displaying the randomly inspected image, an editing control may be set in the area corresponding to the randomly inspected image, and the user selects the editing control to perform a deletion operation on the randomly inspected image.
[0146] In the embodiments of the present disclosure, by displaying the randomly inspected image taken by the user, the user can timely know whether the randomly inspected image taken meets the requirements, so as to re-edit the randomly inspected image that does not meet the requirements, avoiding the problem of random inspection unqualified caused by the user's incorrect upload of the randomly inspected image.
[0147] Figure 11 The flowchart of another randomly inspection method applied to door-to-door cleaning service in the embodiments of the present disclosure is shown. As Figure 11 shown, the randomly inspection method applied to door-to-door cleaning service in the embodiments of the present disclosure may include:
[0148] S1110, in response to the user selecting the task completion control, jump to the image capture page. The image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by the intelligent model from a preset image capture indication information library based on the user's historical service information, the indicated information of the user to be served, and the service category. The image capture indication information includes at least one of the item information indicating the item to be captured by the user, the angle information of the captured item, and the image example information;
[0149] S1120, in response to the user selecting the item switching control, update the image capture indication information.
[0150] In some embodiments, the image capture page further includes an item switching control.
[0151] In some embodiments, due to different environments to be served, the items in different environments to be served are also different. To avoid the problem that the items indicated by the image capture indication information are not included in the environment where the user serves, the present disclosure provides an item switching control, so that the user can update the image capture indication information by selecting the item switching control.
[0152] In the embodiments of the present disclosure, by providing the item switching control, the user can update the image capture indication information, avoiding the problem of random inspection unqualified caused by the lack of the items indicated by the current image capture indication information in the user service environment. The accuracy of random inspection is improved.
[0153] In some embodiments, the above method further includes:
[0154] When the update times reach the preset times, upload the captured randomly inspected image to complete the random inspection.
[0155] In some embodiments, since the service environments of users are generally the same, the situation where the service environment does not include the item indicated by the image capture instruction information is rare. Currently, there is a problem that the user updates the image capture instruction information multiple times until the item indicated by the updated image capture instruction information is the item that the user has finished cleaning. The present disclosure sets the number of updates.
[0156] In the embodiments of the present disclosure, by setting the number of updates, the problem that the user updates the image capture instruction information multiple times when the item indicated by the image capture instruction information is an uncleaned item is avoided, and the accuracy of spot checks is improved.
[0157] S1130. In response to the user selecting the image capture control and capturing a spot check image, determine whether the number of items captured by the user reaches a preset number;
[0158] S1140. In the case where the number of items captured by the user reaches the preset number, complete the spot check.
[0159] Figure 12 The flowchart of another spot check method applied to door-to-door cleaning services in the embodiments of the present disclosure is shown. As Figure 12 shown, the spot check method applied to door-to-door cleaning services in the embodiments of the present disclosure may include:
[0160] S1210. In response to the user selecting the task completion control, jump to the image capture page. The image capture page includes image capture instruction information and an image capture control. The image capture instruction information is randomly selected from a preset image capture instruction information library by an intelligent model based on the user's historical service information, the instructed information of the serviced user, and the service category. The image capture instruction information includes at least one of the item information indicating the item to be captured by the user, the angle information of the captured item, and the image example information;
[0161] S1220. In response to the user selecting the image capture control and capturing a spot check image, determine whether the number of items captured by the user reaches a preset number;
[0162] S1230. In the case where the number of items captured by the user reaches the preset number, complete the spot check;
[0163] S1240. In response to the user selecting the check-in control, obtain the user's audio information;
[0164] S1250. Process the audio information and the spot check image based on a large model to obtain a spot check result;
[0165] In some embodiments, before performing a spot check, the user can select the check-in control on the check-in page.
[0166] In some embodiments, after the user selects the check-in control, the current terminal device or other terminal devices can obtain the user's audio information and the audio information of the served user.
[0167] In some embodiments, after the user selects the sampling inspection completion control, the sampling inspection image can be uploaded, and then the terminal device sends the sampling inspection image and the audio information to the server. The server inputs the sampling inspection image and the audio information into the intelligent model, and the intelligent model outputs the sampling inspection result. After the intelligent model outputs the sampling inspection result, the server can send the sampling inspection result to the terminal device, and the terminal device displays the sampling inspection result.
[0168] In the embodiments of the present disclosure, the intelligent model is used to identify the sampling inspection image and the audio information to determine the sampling inspection result, which can ensure the accuracy of the sampling inspection result.
[0169] To illustrate the present disclosure in detail, the embodiments of the present disclosure also provide an exemplary embodiment of sampling inspection.
[0170] After the user arrives at the door-to-door cleaning service location, first, the user opens the client corresponding to the door-to-door cleaning service on the corresponding terminal device. At this time, the terminal device obtains the user's location information. When the user's location information is consistent with the door-to-door cleaning service location, a check-in page is displayed, and the user selects the check-in control on the check-in page. In response to the user selecting the check-in control, the terminal device displays a page jump to the shooting page, and the user takes pictures of the corresponding tools and work uniforms. In response to the user selecting the upload control, the terminal device transmits the images corresponding to the tools and work uniforms to the server. The server inputs the images corresponding to the tools and work uniforms into the intelligent model, and the intelligent model outputs the inspection result. When the inspection result indicates that the images corresponding to the tools and work uniforms meet the requirements, the server sends a message indicating that the inspection result passes to the terminal device. When the terminal device receives the message indicating that the inspection result passes, it jumps to the cleaning page. The cleaning page includes information indicating the served user and the cleaning duration information. During the user's cleaning process, the terminal device can obtain the recording information of the user and the served user in real time.
[0171] After the user completes the cleaning, select the task completion control on the cleaning page to jump to the image capture page. During this process, the terminal device sends the user's historical service information, the instructions of the serviced user, the service category, and the recording information of the user and the serviced user to the server. The server inputs the user's historical service information, the instructions of the serviced user, the service category, and the recording information of the user and the serviced user into the intelligent model. The intelligent model determines the image capture instruction information based on the image capture instruction information library stored in the server, the user's historical service information, the instructions of the serviced user, the service category, and the recording information of the user and the serviced user. Exemplarily, the instruction information of the serviced user can be that the serviced user instructs the user to conduct a detailed cleaning of the pet area. At this time, the image capture instruction information can include instructing the user to capture an image of the pet area. The historical service information can be the evaluation of the user by the serviced user during the user's historical service process. If the serviced user's evaluation of the user is "the cleaning of the bathroom is not very tidy", at this time, the image capture instruction information can include instructing the user to capture an image of the bathroom. The service category can include light cleaning, deep cleaning, and initial cleaning. If the current user's service category is initial cleaning, and the initial cleaning includes cleaning the range hood, cleaning the glass, etc., at this time, the image capture instruction information can be to capture an image of the range hood. The recording information can include the recordings of the user and the serviced user. If the recording of the serviced user is "the bedroom needs to be cleaned emphatically", at this time, the image capture instruction information can be to capture an image of the bedroom. Exemplarily, the above information can also be all input into the intelligent model, and the intelligent model obtains the image capture instruction information after synthesizing the above information. The image capture page includes a random inspection timer, image capture instruction information, and an image capture control. The user selects the image capture control on the image capture page and captures a random inspection image. After the user determines that the current item has been captured, select the "next" control on the image capture page, and the terminal device jumps to a new image capture page. In the case that the item indicated by the image capture instruction information is not included in the user's service environment, the user can select the item switching control on the image capture page. When the terminal device obtains the user's selection of the item switching control, it sends a switching message to the server. When the server receives the switching message, it reselects the image capture instruction information from the multiple image capture instruction information selected by the intelligent model, and then sends the reselected image capture instruction information to the terminal device. To avoid the problem that the user selects the item switching control and thus evades the random inspection when the area indicated by the image capture instruction information is an area that has not been cleaned. The upper limit of the number of times the user selects the item switching control can be preset. When the number of times the user selects the item switching control exceeds the upper limit, the random inspection is directly ended. When the user completes capturing the random inspection image, the terminal device can display the random inspection image captured by the user. The user can select the delete control on the image capture page to delete the captured random inspection image.Moreover, the terminal device can send the randomly inspected images taken by the user to the server. The server inputs the randomly inspected images and the corresponding image capture instruction information into the intelligent model, and the intelligent model outputs the inspection result. The inspection result is used to indicate whether the item corresponding to the currently captured randomly inspected image conforms to the item indicated by the image capture instruction information, whether the angle of the item in the randomly inspected image conforms to the capture angle indicated by the image capture instruction information, and whether the clarity of the randomly inspected image meets the requirements. After the user finishes capturing the randomly inspected images, the user can select the completion control. The terminal device sends all the randomly inspected images to the server. The server inputs the obtained recording and the randomly inspected images into the intelligent model to obtain the random inspection result. After the server obtains the random inspection result, it can send the random inspection result to the terminal device so that the terminal device can display the random inspection result. After the random inspection is completed, the acceptance process begins. In the acceptance process, first, it is necessary to determine whether the user being served is at home. The terminal device can collect the recording information and send the recording information to the server. The server determines whether the user being served is at home based on whether the recording information is single-person recording information or multi-person recording information. It can also be determined whether the user being served is at home by the user selecting whether the user being served is at home or not at home on the acceptance page displayed on the terminal device. In the case where it is determined that the user being served is at home, the acceptance instruction information can be sent to the terminal device corresponding to the user being served so that the user being served can complete the acceptance based on the acceptance instruction information. The acceptance instruction information can include the area information to be accepted. The terminal device corresponding to the user being served can also display the acceptance completion control. In the case where the user being served selects the acceptance completion control, the acceptance information of the user being served is sent to the server and the acceptance is completed. In the case where it is determined that the user being served is not at home, the server can send video capture instruction information to the terminal device corresponding to the user. The video capture instruction information is used to instruct the user to capture a video of the completed cleaning. The method for determining the video capture instruction information is the same as the method for determining the image capture instruction information, which will not be elaborated here. After the user completes the video capture and uploads it based on the video capture instruction information, the user can select the random inspection completion control. In the case where the user selects the random inspection completion control, the random inspection is completed and the user leaves the household.
[0172] In some embodiments, using a large model to identify the recording can be used to judge the completion degree of the user's cleaning. Exemplarily, the recording can be input into the large model, and the completion degree of the user's cleaning can be determined according to the output result of the large model.
[0173] In some embodiments, the completion degree of the user's cleaning can be judged based on the large model's identification of the randomly inspected images uploaded by the user. Exemplarily, the randomly inspected images and the images included in the image capture instruction information can be input into the large model together, and the completion degree of the user's cleaning can be determined according to the output result of the large model.
[0174] In some embodiments, a bracelet or a camera can be used as a user device to obtain recording information and image information. Exemplarily, the user's work ID can be combined with the above-mentioned intelligent device as a carrier for collecting the recording and image information of the user and the served user.
[0175] Based on the same inventive concept, an inspection and sampling device for door-to-door cleaning services is also provided in the embodiments of the present disclosure, as described in the following embodiments. Since the principle of solving problems in the device embodiments is similar to that in the above method embodiments, the implementation of the device embodiments can refer to the implementation of the above method embodiments, and the repeated parts will not be described again.
[0176] Figure 13 The following shows a schematic diagram of an inspection and sampling device for door-to-door cleaning services in the embodiments of the present disclosure. Figure 13 As shown, the inspection and sampling device 1300 for door-to-door cleaning services includes:
[0177] A first jump module 1310, configured to jump to an image capture page in response to a user selecting a task completion control. The image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by an intelligent model from a preset image capture indication information library based on the user's historical service information, the served user's indication information, and the service category. The image capture indication information includes at least one of the item information for the user to capture, the angle information for capturing the item, and the image example information.
[0178] A first determination module 1320, configured to determine whether the number of items captured by the user reaches a preset number in response to the user selecting the image capture control and capturing an inspection and sampling image.
[0179] A first completion module 1330, configured to complete the inspection and sampling when the number of items captured by the user reaches the preset number.
[0180] In the embodiments of the present disclosure, in response to a user selecting a task completion control, it jumps to an image capture page. On the image capture page, the image capture indication information is determined based on the user's historical service information, the served user's indication information, the service category, and the image capture indication information library, so as to guide the user to capture and upload an image of the cleaned item based on the image capture indication information, perform inspection and sampling based on the image uploaded by the user, and issue different image capture indication information to the user based on the differences in the user, the served user, and the service category, avoiding the user from repeatedly and incorrectly uploading images of the cleaned items, improving the accuracy and comprehensiveness of the inspection and sampling, and further improving the service quality of the door-to-door cleaning service.
[0181] In some embodiments, the completion module includes:
[0182] A first display unit, configured to display a sampling inspection completion control when the number of items captured by the user reaches a preset number;
[0183] An upload unit, configured to upload a sampling inspection image and complete the sampling inspection in response to the user selecting the sampling inspection completion control.
[0184] In some embodiments, the device further includes:
[0185] A first display module, configured to display a prompt message for prompting the user to retake the sampling inspection image when the sampling inspection image captured by the user does not conform to the image capture instruction information.
[0186] In some embodiments, the image capture page further includes a sampling inspection timer, and the device further includes:
[0187] A timing module, configured to start the sampling inspection timer after jumping to the image capture page;
[0188] A second completion module, configured to complete the sampling inspection when the sampling inspection timer reaches a preset threshold.
[0189] In some embodiments, the device further includes:
[0190] A second display module, configured to display the sampling inspection image captured by the user;
[0191] A deletion module, configured to delete the sampling inspection image in response to the user's deletion operation on the sampling inspection image.
[0192] In some embodiments, the image capture page further includes an item switching control, and the device further includes:
[0193] A first update module, configured to update the image capture instruction information in response to the user selecting the item switching control.
[0194] In some embodiments, the device further includes:
[0195] A third completion module, configured to upload the captured sampling inspection images and complete the sampling inspection when the number of update times reaches a preset number.
[0196] In some embodiments, the device further includes:
[0197] A second update module, configured to update the image capture instruction information in response to the user selecting a continue sampling inspection control when the number of items captured by the user does not reach the preset number.
[0198] In some embodiments, the device further includes:
[0199] An acquisition module, configured to acquire the user's audio information in response to the user selecting a check-in control.
[0200] A processing module for processing audio information and randomly selected images based on a large model to obtain a random inspection result.
[0201] Those skilled in the art of the present disclosure can understand that various aspects of the present disclosure can be implemented as a system, method, or program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuitry", "module", or "system" here.
[0202] An electronic device provided by the present disclosure includes: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the above-mentioned display method of any one via executing the executable instructions.
[0203] Exemplarily, hereinafter, reference is made to Figure 14 to describe the electronic device 1400 according to this embodiment of the present disclosure. Figure 14 The illustrated electronic device 1400 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.
[0204] As Figure 14 shown, the electronic device 1400 is presented in the form of a general-purpose computing device. The components of the electronic device 1400 may include, but are not limited to: the above-mentioned at least one processing unit 1410, the above-mentioned at least one storage unit 1420, and a bus 1430 connecting different system components (including the storage unit 1420 and the processing unit 1410).
[0205] Among them, the storage unit stores program code, and the program code can be executed by the processing unit 1410, so that the processing unit 1410 executes the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of this specification. For example, the processing unit 1410 can execute the following steps of the above method embodiment:
[0206] In response to the user selecting the task completion control, jump to the image capture page, where the image capture page includes image capture indication information and an image capture control. The image capture indication information is randomly selected by the intelligent model from a preset image capture indication information library based on the user's historical service information, the indicated information of the user being served, and the service category. The image capture indication information includes at least one of the information of the item for the user to capture, the angle information of the item to be captured, and the image example information;
[0207] In response to the user selecting the image capture control and capturing a randomly selected image, determine whether the number of items captured by the user reaches a preset number;
[0208] When the number of items captured by the user reaches the preset number, the spot check is completed.
[0209] The storage unit 1420 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 14201 and / or a cache storage unit 14202, and may further include a read-only storage unit (ROM) 14203.
[0210] The storage unit 1420 may also include a program / utility 14204 having a set (at least one) of program modules 14205. Such program modules 14205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment.
[0211] The bus 1430 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus structures.
[0212] The electronic device 1400 may also communicate with one or more external devices 1440 (such as a keyboard, a pointing device, a Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 1400, and / or may communicate with any device that enables the electronic device 1400 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication may be carried out through an input / output (I / O) interface 1450. Also, the electronic device 1400 may communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 1460. As shown in the figure, the network adapter 1460 communicates with other modules of the electronic device 1400 through the bus 1430. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 1400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.
[0213] From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software, or by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (such as a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
[0214] In the disclosed exemplary embodiments, there is also provided a computer-readable storage medium, which can be a readable signal medium or a readable storage medium. Figure 15 The figure shows a schematic diagram of a computer-readable storage medium in an embodiment of the present disclosure, as Figure 15 shown, a program product capable of implementing the above method of the present disclosure is stored on the computer-readable storage medium 1500.
[0215] In some possible implementation manners, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the "Specific Embodiments" section of this specification.
[0216] More specific examples of the computer-readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
[0217] In the present disclosure, the computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, in which the readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium can also be any readable medium other than the readable storage medium, and the readable medium can send, propagate, or transmit a program used by or in combination with an instruction execution system, apparatus, or device.
[0218] Optionally, the program code contained on the computer-readable storage medium can be transmitted by any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination of the above.
[0219] In specific implementation, program code for performing the operations of the present disclosure can be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).
[0220] Embodiments of the present disclosure provide a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the display method provided in any of the various alternative manners in the embodiments of the present disclosure.
[0221] It should be noted that although several modules or units of a device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of the two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.
[0222] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software, or can be implemented by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
[0223] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope of the present disclosure is pointed out by the appended claims.
Claims
1. A sampling inspection method for door-to-door cleaning services, characterized in that: include: In response to the user selecting the task completion control, jumping to the image shooting page, the image shooting page includes image shooting instruction information and image shooting controls, the image shooting instruction information is randomly extracted from a preset image shooting instruction information library by the intelligent model based on the user's historical service information, the served user's instruction information and the service category, and the image shooting instruction information includes at least one of the information of the object to be photographed by the user, the angle information of the object to be photographed and the image example information; In response to a user selecting the image capture control and capturing a sampling image, determining whether the number of objects captured by the user reaches a preset number; When the number of items photographed by the user reaches the preset number, the random inspection is completed.
2. The method according to claim 1, characterized in that When the number of items photographed by the user reaches the preset number, completing the random inspection includes: When the number of items photographed by the user reaches the preset number, displaying a sampling completion control; In response to the user selecting the spot check completion control, the spot check image is uploaded to complete the spot check.
3. The method according to claim 1, characterized in that The method further comprises: In the case that the sample inspection image taken by the user does not conform to the image shooting instruction information, prompt information is displayed, where the prompt information is used to prompt the user to retake the sample inspection image.
4. The method according to claim 1, characterized in that: The image capture page also includes a sampling timer, and the method further includes: After jumping to the image shooting page, the sampling timer starts; When the sampling inspection timing reaches a preset threshold, the sampling inspection is completed.
5. The method according to claim 1, characterized in that The method further comprises: Displaying the sample inspection image taken by the user; In response to a user's deletion operation on the sampled image, the sampled image is deleted.
6. The method according to claim 1, characterized in that The image capture page also includes an item switching control, and the method further includes: In response to the user selecting the item switching control, the image capturing indication information is updated.
7. The method according to claim 6, characterized in that The method further comprises: When the number of updates reaches the preset number, the sample inspection images taken are uploaded to complete the sample inspection.
8. The method according to claim 1, characterized in that The method further comprises: In a case where the number of objects photographed by the user does not reach the preset number, in response to the user selecting a continue sampling control, the image shooting indication information is updated.
9. The method according to claim 1, characterized in that: The method further comprises: In response to the user selecting the sign-in control, obtain the user's audio information The audio information and the sampled images are processed based on the large model to obtain a sampled result.
10. A computer program product, comprising a computer program or computer instructions, characterized in that: The computer program or the computer instruction is loaded and executed by a processor, so that the computer implements the sampling inspection method for door-to-door cleaning services as described in any one of claims 1 to 9.