Automatic film finding method and device, medium and program product

Abstract

The invention provides an automatic film finding method and device, a medium and a program product, and relates to the technical field of film pasting. The automatic film finding method comprises the steps that the model of a film pasting object is obtained; the classification of the membranes matched with the model is determined, membrane information is generated based on the classification, the membrane information comprises information of a target membrane pasted on the membrane pasting object, and the classification is determined based on the shape information of the membrane pasting area of the membrane pasting object. According to the embodiment of the invention, the film matched with the film pasting object can be quickly searched according to the model of the film pasting object, the film searching time is effectively shortened, the film pasting time is shortened, the film pasting efficiency and the user experience are greatly improved, and the user experience is improved. And according to the mode of searching the adaptive diaphragms based on diaphragm classification, searching of thousands of types of diaphragms in the market can be reduced to searching of dozens of types of diaphragms, so that only dozens of types of diaphragms need to be stored, the applicability is high, the diaphragm inventory and storage strength is effectively reduced, the occupied area is reduced, and the space utilization rate is increased.

Description

Technical Field

[0001] The present application relates to the field of film pasting technology, and more specifically, to an automatic film finding method, device, medium and program product. Background Art

[0002] At present, with the development of science and technology, various electronic devices are constantly penetrating into people's daily lives, bringing great convenience to people's daily lives, study and work. Among them, electronic devices are often provided with display screens, through which the information of the electronic devices is displayed so that people can quickly obtain information. However, whether it is a touch screen or a non-touch screen, it is easy to cause problems such as screen scratches and breakages due to the increase in the frequency of use and the change in the use environment. Therefore, people tend to add a film to the screen to better prevent mechanical damage to the screen, and in order to prevent damage to the electronic device or slow down the aging speed, a film is also attached to other positions of the electronic device.

[0003] When applying the film, users often rely on their own experience and perspective to vaguely locate the film application area and film sheet to perform the film application operation. In this case, the film is prone to position errors, and the expected correct application effect cannot be achieved. The film sheet cannot protect the electronic equipment well, and even some films are discarded due to poor film application effect, resulting in material waste. In order to avoid these problems, users often find professional film application merchants to apply the film when they need to apply the film to improve the film application effect and success rate.

[0004] However, users use a variety of electronic devices, and different electronic devices are compatible with different films, which means that film merchants need to purchase corresponding films for different electronic devices, greatly increasing inventory and occupied area. When the number of films is too large, merchants need to spend a lot of time looking for matching films, which increases film pasting time, reduces film pasting efficiency and user experience. In addition, there are many mobile phone models, and merchants need to prepare films for thousands of mobile phone models to meet the demand for mobile phone films on the market. This greatly increases the warehouse storage stock, and there are many types, which increases the time to find matching films. Summary of the invention

[0005] The embodiments of the present application provide an automatic film finding method, device, medium and program product, which can solve the problem of needing to spend a lot of time to find a matching film, increasing the film pasting time, low film pasting efficiency and poor user experience. To achieve this purpose, the embodiments of the present application provide the following solutions.

[0006] According to one aspect of an embodiment of the present application, there is provided an automatic film finding method, the method comprising:

[0007] Get the model of the film object;

[0008] Determine the classification of the film matching the model, generate film information based on the classification, the film information includes information of a target film for pasting on the film pasting object, and the classification is determined based on the film pasting area shape information of the film pasting object.

[0009] In a possible implementation, obtaining the model of the film object includes:

[0010] In response to the search instruction, a model input interface is displayed, and the model of the film object is obtained through the model information input through the model input interface.

[0011] In a possible implementation, obtaining the model of the film object includes:

[0012] Display a connection identifier on the cloud so that the cloud can establish a connection with the film object according to the connection sent by the film object, send a model query request to the film object and determine the model of the film object according to the feedback of the film object, the connection identifier includes a QR code, and the connection request is generated by the film object based on the connection identifier.

[0013] In a possible implementation, determining the classification of the diaphragm matching the model includes:

[0014] The matching information fed back by the cloud is obtained, and the classification matching the film object is determined according to the matching information, and the film sheet corresponding to the classification is determined as the film sheet matching the film object. The matching information is determined based on the corresponding relationship between the preset film object and the classification.

[0015] In a possible implementation, obtaining the matching information includes:

[0016] Acquire the film-sticking area shape information of the film-sticking object according to the model, wherein the film-sticking area shape information includes the film-sticking area size and curvature of the film-sticking area;

[0017] The film-sticking area shape information is matched with film-sticking area conditions corresponding to different categories, and the category matched by the model is determined according to the matching result.

[0018] In a possible implementation, the film-sticking object includes a mobile phone, and the determination of the classification includes:

[0019] Obtain the size information and curvature information of the film area of ​​each model of mobile phone, wherein the size information includes the length and width of the mobile phone and the length, width and R angle information of the mobile phone window;

[0020] Based on the size information and the curvature information, the classification of mobile phones of different models and the membrane corresponding to each classification are determined, and each classification corresponds to at least one model of mobile phone.

[0021] In a possible implementation, generating the diaphragm information based on the classification includes:

[0022] A target film is determined according to the classification, and the target film is recommended according to film storage information, wherein the film storage information includes at least one of a film number, a storage quantity, and a storage location.

[0023] According to one aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described above.

[0024] According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described above are implemented.

[0025] According to one aspect of an embodiment of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described above are implemented.

[0026] The beneficial effects of the technical solution provided by the embodiment of the present application are:

[0027] The automatic film finding method provided by the present application obtains the model of the film-sticking object; determines the classification of the film that matches the model, and generates film information based on the classification. The film information includes information of the target film used to be attached to the film-sticking object. The classification is determined based on the shape information of the film-sticking area of ​​the film-sticking object. The embodiment of the present application can quickly find the film that matches the film-sticking object according to the model of the film-sticking object, effectively reducing the film finding time, shortening the film-sticking time, and greatly improving the film-sticking efficiency and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following is a brief introduction to the drawings required for use in describing the embodiments of the present application.

[0029] Figure 1 A flow chart of an automatic film finding method provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of the shape information of the film pasting area in the automatic film finding method provided in an embodiment of the present application;

[0031] Figure 3 A structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the implementation methods described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions of the embodiments of the present application.

[0033] It will be understood by those skilled in the art that, unless specifically stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the terms "including" and "comprising" used in the embodiments of the present application refer to that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude the implementation of other features, information, data, steps, operations, elements, components and / or combinations thereof supported by the present technical field. It should be understood that when we say that an element is "connected" or "coupled" to another element, the one element may be directly connected or coupled to the other element, or it may refer to that the one element and the other element establish a connection relationship through an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein indicates at least one of the items defined by the term, for example, "A and / or B" indicates that it is implemented as "A", or is implemented as "A", or is implemented as "A and B".

[0034] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0035] The following describes several exemplary embodiments to illustrate the technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application. It should be noted that the following embodiments can refer to, draw on or combine with each other, and the same terms, similar features and similar implementation steps in different embodiments will not be described repeatedly.

[0036] The automatic film finding method, device, medium and program product provided in the present application are intended to solve at least one technical problem existing in the prior art.

[0037] An automatic film finding method is provided in an embodiment of the present application. The method can be used to find a film box, a mobile phone, a computer, a cloud, and other devices that can be used to quickly find a matching target film.

[0038] In one embodiment, the device is an AI film-finding box, which is equipped with a variety of classified films. The film-finding box can be connected to the cloud, transmit the model of the film-sticking object to the cloud, obtain feedback information from the cloud, determine the classification of the film that matches the film-sticking object according to the feedback information, and generate film information based on the classification. A QR code for connecting to the cloud can also be provided to the film-sticking object. After the film-sticking object scans the QR code, it connects to the cloud. The cloud obtains the model of the film-sticking object, determines the classification that matches the film-sticking object according to the model, and feeds back the classification information to the film-finding box. The film-finding box generates film information based on the feedback information. The film-finding box can also pre-store classifications that match different models. After obtaining the model of the film-sticking object, it determines the classification that matches the film-sticking object according to the pre-stored information, and then generates film information based on the classification.

[0039] Specifically, the diaphragms stored in the AI ​​diaphragm box can be classified into 54 types. These 54 types of diaphragms can be adapted to more than 2,000 types of mobile phones on the market. Different mobile phone models can find suitable diaphragms in the corresponding areas of the AI ​​diaphragm box, thereby effectively reducing inventory, increasing storage strength, reducing occupied area, and improving space utilization.

[0040] Alternatively, if Figure 1 , Figure 2 As shown, the automatic film finding method of the present application includes:

[0041] S101: Obtain the model of the film object.

[0042] Optionally, the objects to be pasted with the film may include mobile phones, tablet computers, notebook computers and other terminals that can be pasted with the film.

[0043] Optionally, obtaining the model of the film object includes: displaying a model input interface in response to a search instruction, and obtaining the model of the film object through model information input through the model input interface.

[0044] In one embodiment, the device for performing the automatic film finding method is a film finding box, which can be provided with a display screen. After receiving the search command input by the user, the film finding interface is displayed through the display screen, and the information of the film object input by the user is obtained by using the film finding interface, and the model of the film object is determined based on the information. The film finding box can also be connected to the cloud through a predetermined interface, and after receiving the instruction to input the model, a request to display the model input interface is sent to the cloud, and the model input interface is displayed according to the information fed back by the cloud based on the request, and the model information input by the user is obtained by using the interface, and the model information is fed back to the cloud.

[0045] Optionally, the user can also connect to the cloud through a film-sticking object or other electronic device, input model information to the cloud through the film-sticking object or other electronic device, and the cloud sends the model information to the device that executes the automatic film finding method.

[0046] Optionally, the model of the film object can also be obtained through the cloud. Obtaining the model of the film object includes: displaying a connection identifier on the cloud so that the cloud can establish a connection with the film object based on the connection sent by the film object, sending a model query request to the film object and determining the model of the film object based on feedback from the film object, the connection identifier includes a QR code, and the connection request is generated by the film object based on the connection identifier.

[0047] In one embodiment, the connection identifier is a QR code, and the device for performing the automatic film finding method may be a film finding box. The QR code may be set on one side of the film finding box, or may be displayed on a screen of the film finding box based on a received instruction. The user uses a film pasting object to scan the QR code and connect to the cloud. After the cloud connects to the film pasting object, it obtains the model of the film pasting object.

[0048] Optionally, before obtaining the model of the film-sticking object, identity recognition may be performed first, wherein it may be achieved by detecting whether the current account has the authority to execute the automatic film-finding method, or by obtaining the facial image of the object currently operating the device or the verification information input by the object. If it is determined based on the facial image or the verification information that the object has the authority to execute the automatic film-finding method, the model of the film-sticking object is obtained.

[0049] Optionally, you can also take an image of the film object and determine the model of the film object based on the characteristics of the film object in the image (shape, color, size, brand, etc.). You can also connect to the film object through NFC, Bluetooth, etc., and after the connection, determine the model of the film object based on the information sent by the film object.

[0050] S102: Determine the classification of the diaphragm matching the model, and generate diaphragm information based on the classification.

[0051] Optionally, the film sheet information includes information of a target film sheet to be pasted on the film pasting object, and the classification is determined based on the film pasting area shape information of the film pasting object. The film sheet may include multiple classifications, each of which corresponds to at least one film pasting object.

[0052] Optionally, determining the classification of the film that matches the model includes: obtaining matching information fed back from the cloud, determining the classification that matches the film object based on the matching information, and determining the film corresponding to the classification as the film that matches the film object, wherein the matching information is determined based on a preset correspondence between the film object and the classification.

[0053] Optionally, after obtaining the classification of the film object, the film with the highest matching degree with the film object (such as the highest matching degree between the film shape and the film area or the best film effect of the film on the film object) can be further selected from the classification, and the film information is generated based on the information of the film. The film information can be displayed on the device that performs the automatic film finding method in the form of text, images, etc., and can also be displayed on the mobile phone of the film object or the merchant who performs the film operation.

[0054] Optionally, the film information may include information of multiple films, and the film information is sent to a merchant who performs the film application operation or a user who purchases the film, and the film to be finally used is determined based on the feedback of the merchant or the user.

[0055] Optionally, the acquisition of matching information includes: acquiring the film area shape information of the film object according to the model, the film area shape information including the film area size and curvature of the film area; matching the film area shape information with the film area conditions corresponding to different categories, and determining the category of model matching according to the matching result. If the film area shape information of the film object meets all the film area conditions corresponding to a category, then the category is determined to be the category corresponding to the film object.

[0056] In one embodiment, Figure 2 As shown, the film object is a mobile phone, and the film area shape information of the mobile phone includes the length and width of the film area, the curvature information, and the length, width, and R angle information of the window in the film area (i.e., the position of the camera in the film area). The film area conditions may include the length and width size conditions of the film area, the curvature conditions (such as the curvature is less than 2.5D, the curvature is greater than 2.5D or a folding screen), and the size and shape conditions of the window. If the film area shape information of the mobile phone matches the film area conditions of a certain category, then the category is determined to be a category that matches the model of the mobile phone.

[0057] Optionally, after obtaining the model matching classification, the matching result can also be sent to the designated audit object (such as an administrator). If the audit is determined to be passed according to the audit result of the audit object, the classification information is stored in the cloud or sent to the user's mobile phone for the user to view. Among them, when the object for model classification judgment is not in the cloud, the classification information can be sent to the cloud after it is determined that the audit object has passed the audit, and the model matching classification is stored in the cloud.

[0058] Optionally, if the film area shape information of the model does not match the film area conditions corresponding to all categories, it is determined that there is no category matching the model, and a reminder message is generated, and the reminder message is used to remind the predetermined category creation object to establish a new category. It is also possible to generate a reminder message that there is no suitable film after determining that there is no category matching the model, and record the information of the model. If it is detected that the number of times the model appears is greater than a preset value, a reminder message is generated to remind the creation of a category corresponding to the model.

[0059] Optionally, to increase the number of models that the film is compatible with, each category may correspond to at least one model of film object. Accordingly, the size value in the film area condition corresponding to each category may be a range value to cover the sizes of multiple film areas.

[0060] In one embodiment, the film object is a mobile phone, and the film is classified as K1. The three conditions corresponding to this classification are: Condition 1, mobile phone length range 140mm-145mm, width: 65-70mm; Condition 2, mobile phone window length range 110mm-115mm, window width: 60-65mm; Condition 3: curvature is less than 2.5D, straight screen. The size information and curvature information of the film area of ​​the AA model mobile phone include: mobile phone length range 142mm, width: 63mm; window length range 112mm, window width: 60mm; curvature is less than 2.5D. Based on the size information and curvature information, it is determined that the film area of ​​the mobile phone meets conditions 1, 2, and 3 of classification K1, and the classification of the mobile phone matching is determined to be K1. The matching results are sent to the administrator, who will review and confirm them. After receiving the administrator's review confirmation information, the matching result is stored in the cloud, and when the model of the mobile phone obtained next time is AA, the diaphragm classified by K1 is directly determined as the matching diaphragm, and the diaphragm information is generated.

[0061] Optionally, the film-sticking object includes a mobile phone, and the determination of the classification includes: obtaining the size information and curvature information of the film-sticking area of ​​each model of mobile phone, the size information includes the length and width of the mobile phone and the length, width and R angle information of the mobile phone window; based on the size information and curvature information, determining the classification of different models of mobile phones and the film corresponding to each classification, the film corresponding to each classification matches the mobile phone corresponding to the classification, and each classification corresponds to at least one model of mobile phone. After classification, the size information and curvature information corresponding to each classification can also be determined, and the classification corresponding to the produced film is determined based on the size information and curvature information, and the film is managed according to the corresponding relationship.

[0062] In one embodiment, the classification conditions are determined, and the classification conditions include: condition 1, the overall length, width and R angle of the mobile phone; condition 2, the length, width and R angle of the window area (non-screen printing area) of the mobile phone; condition 3, the curvature of the edge of the mobile phone (divided into straight screen, curved screen, and folding screen). Based on these conditions, the classifications corresponding to different models of mobile phones are obtained, and each classification corresponds to one or more models of mobile phones.

[0063] Optionally, the publishing information of all kinds of film objects can be obtained, and the shape information of the film area in the film object can be obtained according to the publishing information. Data is extracted based on the shape information, classified according to the data extraction results, and a film sheet suitable for each classification is produced. Specifically, when the film object is a mobile phone, the data extraction includes: mobile phone size: length, width, height, R angle; screen window size: length, width, R angle; mobile phone curvature: 2.5D, 3D surface. Based on the data extraction results, the existing AI data large model (such as ChatGPT, Kimi, Claude, etc.) can be used for classification to obtain the classification result. The classification result includes the classification corresponding to each model of the film object, and after a new model is detected, the data of the film object of the model is extracted, and the classification matching the model is obtained based on the data extraction result. If it is determined that there is no matching classification, a reminder can be given to create a new classification.

[0064] In one embodiment, 30 categories are created, which can be identified as: K1~K30; a new model A of the film object is detected, and the size of the model is analyzed through the AI ​​data model; after analysis, it is found that the size of the model matches the size corresponding to category K3, then model A is classified into K3 and the information is updated.

[0065] Optionally, generating membrane information based on classification includes: determining a target membrane according to the classification, and recommending a target membrane according to membrane storage information, wherein the membrane storage information includes at least one of a membrane number, a storage quantity, and a storage location.

[0066] Optionally, after determining the classification that matches the model of the film object, the film corresponding to the classification can be determined as the target film. When there are multiple films corresponding to the classification, historical film information (including records of different films being pasted on the film object) can be queried or the size information of the film can be obtained to match the film area of ​​the film object. The film that best matches the film object can be obtained based on the historical film information or the matching result, and the film can be determined as the target film.

[0067] Optionally, after determining the target film, the existence of the target film and the storage location of the target film are queried according to the film storage information, and recommendation information is generated according to the query result. Wherein, when the film is stored in the film search box, the film search box can generate recommendation information by displaying the storage location and storage quantity, or by popping up the target film or emitting an indicator light corresponding to the target film storage location to remind the user or merchant, so as to achieve rapid acquisition of the target film.

[0068] Optionally, after the target film is taken out, the inventory information of the target film can be updated manually or automatically. It can also be detected whether the number of stored target films is lower than a preset value. If so, a predetermined object (such as a merchant who manages the target film) is reminded that the number of films is insufficient. It is also possible to count the number of films used and adjust the number of different films used according to the number of films used.

[0069] This application can classify various models of film objects (such as mobile phones) into dozens of models, which can reduce the production costs of film manufacturers. There is no need to produce too many models and prepare too much raw materials and inventory. The production of diaphragms can be based on the statistical film usage data. The model of the new film object can be captured autonomously, matched and analyzed, and then classified. If it is not in the category, a new category can be created and the management personnel can be notified. The AI ​​big data model library will transmit the model classification data to the cloud, and the category of the film object can be quickly found through the applet, and then the category where the diaphragm is located can be prompted, reducing the search process and improving efficiency.

[0070] For merchants, the entire process of the automatic film finding method of the present application is simple and quick, which reduces the trouble of stocking and greatly alleviates inventory pressure. The small film finding box can only store the above-mentioned classified films to meet the needs of various types of mobile phone films, effectively reducing inventory, having strong storage capacity, reducing the occupied area, and improving space utilization, which can better meet the needs of consumers and better expand the sales scope.

[0071] The automatic film finding method provided by the present application obtains the model of the film-sticking object; determines the classification of the film that matches the model, and generates film information based on the classification. The film information includes information of the target film used to be attached to the film-sticking object. The classification is determined based on the shape information of the film-sticking area of ​​the film-sticking object. The embodiment of the present application can quickly find the film that matches the film-sticking object according to the model of the film-sticking object, effectively reducing the film finding time, shortening the film-sticking time, and greatly improving the film-sticking efficiency and user experience.

[0072] In an optional embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present application.

[0073] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0074] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0075] Memory 4003 can be ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or it can be EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disc, optical disk, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium, other magnetic storage devices or any other medium that can be used to carry or store computer programs and can be read by a computer, without limitation here.

[0076] The memory 4003 is used to store the computer program for executing the embodiment of the present application, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the above method embodiment.

[0077] Among them, the electronic device can be any electronic product that can interact with an object, such as a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an interactive network television (IPTV), a smart wearable device, etc.

[0078] The electronic device may also include a network device and / or an object device, wherein the network device includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud consisting of a large number of hosts or network servers based on cloud computing.

[0079] The network where the electronic device is located includes but is not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), etc.

[0080] An embodiment of the present application provides a computer-readable storage medium, which includes a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0081] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0082] The terms "first", "second", "third", "fourth", "1", "2", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that shown or described in the drawings.

[0083] It should be understood that, although each operation step is indicated by arrows in the flowchart of the embodiment of the present application, the implementation order of these steps is not limited to the order indicated by the arrows. Unless clearly stated herein, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flowchart can be performed in other orders according to demand. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on actual implementation scenarios. Some or all of these sub-steps or stages may be executed at the same time, and each sub-step or stage in these sub-steps or stages may also be executed at different times respectively. In different scenarios of execution time, the execution order of these sub-steps or stages may be flexibly configured according to demand, and the embodiment of the present application does not limit this.

[0084] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the solution of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. An automatic film finding method, characterized in that: The method comprises: Get the model of the film object; Determine the classification of the film matching the model, generate film information based on the classification, the film information includes information of a target film for pasting on the film pasting object, and the classification is determined based on the film pasting area shape information of the film pasting object.

2. The automatic film finding method according to claim 1, characterized in that: The method of obtaining the model of the film object includes: In response to the search instruction, a model input interface is displayed, and the model of the film object is obtained through the model information input through the model input interface.

3. The automatic film finding method according to claim 1, characterized in that: The method of obtaining the model of the film object includes: Display a connection identifier on the cloud so that the cloud can establish a connection with the film object according to the connection sent by the film object, send a model query request to the film object and determine the model of the film object according to the feedback of the film object, the connection identifier includes a QR code, and the connection request is generated by the film object based on the connection identifier.

4. The automatic film finding method according to claim 3, characterized in that: The determining of the classification of the diaphragm matching the model comprises: The matching information fed back by the cloud is obtained, and the classification matching the film object is determined according to the matching information, and the film sheet corresponding to the classification is determined as the film sheet matching the film object. The matching information is determined based on the corresponding relationship between the preset film object and the classification.

5. The automatic film finding method according to claim 4, characterized in that: The obtaining of the matching information includes: Acquire the film-sticking area shape information of the film-sticking object according to the model, wherein the film-sticking area shape information includes the film-sticking area size and curvature of the film-sticking area; The film-sticking area shape information is matched with film-sticking area conditions corresponding to different categories, and the category matched by the model is determined according to the matching result.

6. The automatic film finding method according to claim 1, characterized in that: The film-sticking object includes a mobile phone, and the determination of the classification includes: Obtain the size information and curvature information of the film area of ​​each model of mobile phone, wherein the size information includes the length and width of the mobile phone and the length, width and R angle information of the mobile phone window; Based on the size information and the curvature information, the classification of mobile phones of different models and the membrane corresponding to each classification are determined, and each classification corresponds to at least one model of mobile phone.

7. The automatic film finding method according to claim 1, characterized in that: The generating of the membrane information based on the classification comprises: A target film is determined according to the classification, and the target film is recommended according to film storage information, wherein the film storage information includes at least one of a film number, a storage quantity, and a storage location.

8. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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