Execution Result Recognition Method and Device for Educational Equipment, and Educational Equipment

Abstract

The present invention discloses a method and device for identifying execution results applied to a puzzle device. When it detects that a target object is placed in the area of the puzzle device, the method identifies the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the area; based on the identified electronic tag identity information, it determines the execution result corresponding to the target object placed in the area. It can be seen that the present invention can intelligently identify the electronic tag identity information of the object placed in the area of the puzzle device through the electronic tag recognition function of the area, and perform subsequent execution results such as question posing or answering according to the electronic tag identity information. That is, even a single user can achieve interaction with the puzzle device. Or when multiple users interact together, they are no longer limited to the need for multiple users to gather at the location where the puzzle device is located. They can interact remotely through the Internet, improving the interaction efficiency of the puzzle device, and thus enhancing the user experience of the puzzle device.

Description

Technical Field

[0001] The present invention relates to the technical field of educational devices, and in particular, to a method and device for identifying execution results applied to educational devices, and an educational device. Background Art

[0002] Due to the advantages of educational devices, such as chessboards, which can develop human intelligence and improve concentration, chessboards are very popular in life.

[0003] In practical applications, when a user plays a chessboard game, the next chess piece is often manually placed at the corresponding position on the chessboard according to the current placement of the chess pieces on the chessboard, so as to interact with other users in the chessboard game. However, it is found in practice that since the existing method can only identify the identity of the chess pieces by the user, the interaction efficiency of the chessboard game is relatively low, which greatly reduces the user experience.

[0004] Therefore, it is particularly important to propose a technical solution on how to realize the intelligent identification of the identity of chess pieces to improve the interaction efficiency of chessboard games. Summary of the Invention

[0005] The present invention provides a method and device for identifying execution results applied to educational devices, which can realize the intelligent identification of the identity of chess pieces to improve the interaction efficiency of chessboard games.

[0006] To solve the above technical problems, in a first aspect of the present invention, a method for identifying execution results applied to an educational device is disclosed, and the method includes:

[0007] When it is detected that a target object is placed in the first sub-region of the educational device, the electronic tag identity information of the target object is identified based on the electronic tag recognition function corresponding to the first sub-region;

[0008] Based on the identified electronic tag identity information of the target object, an execution result corresponding to the target object placed in the first sub-region is determined.

[0009] As an optional implementation manner, in the first aspect of the present invention, the electronic tag recognition function corresponding to the first sub-region includes one or more of an NFC recognition function, an RFID recognition function, an electromagnetic recognition function, and an image recognition function;

[0010] The method for identifying the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region includes:

[0011] Identify the magnetic field information of the target object based on the electromagnetic identification function corresponding to the first sub-region. When the magnetic field information of the target object meets the preset conditions, determine the electronic tag identity information corresponding to the magnetic field information of the target object according to the pre-set mapping relationship between the magnetic field and the identity, as the electronic tag identity information of the target object. The magnetic field information of the target object includes the magnetic field strength and / or magnetic field direction of the target object; and / or,

[0012] Identify the target object based on the NFC identification function corresponding to the first sub-region, obtain the first data, acquire the second data sent by the target object, and parse the first data and the second data to obtain the electronic tag identity information of the target object; and / or,

[0013] Identify the data of the target object based on the RFID identification function corresponding to the first sub-region, and parse the data of the target object to obtain the electronic tag identity information of the target object; and / or,

[0014] Identify the image information of the target object based on the image recognition function corresponding to the first sub-region, and analyze the image information of the target object to obtain the electronic tag identity information of the target object.

[0015] As an optional implementation manner, in the first aspect of the present invention, there are multiple sub-regions in the puzzle device, and each sub-region has a corresponding electronic tag identification function, and each sub-region is used to place an object;

[0016] The method further includes:

[0017] Determine whether it is detected that at least two of the target objects are respectively placed in their respective first sub-regions;

[0018] When the judgment result is negative, perform the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the identified electronic tag identity information of the target object;

[0019] When the judgment result is positive, determine whether there is a second sub-region in all the first sub-regions, where the second sub-region is a sub-region whose corresponding electronic tag identification function can simultaneously detect at least two of the target objects;

[0020] When it is determined that there is no such second sub-region, perform the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the identified electronic tag identity information of the target object.

[0021] As an alternative implementation, in the first aspect of the present invention, the method further includes:

[0022] When it is determined that there is the second sub-region, for any one of the second sub-regions:

[0023] Obtain the recognition parameters of each of the target objects recognized by the identity recognition function corresponding to the second sub-region, and determine the recognition intensity of the electronic tag recognition function of the second sub-region for each of the target objects according to all the contents included in the recognition parameters of each of the target objects by the second sub-region, and screen out the electronic tag identity information of the target object corresponding to the strongest recognition intensity from the electronic tag identity information of all the target objects as the electronic tag identity information of the target object placed in the second sub-region;

[0024] Wherein, determining the execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object includes:

[0025] When the electronic tag identity information of the target object placed in each of the second sub-regions is determined in all the second sub-regions, determine the execution result corresponding to the target object placed in the second sub-region based on the recognized electronic tag identity information of the target object placed in each of the second sub-regions.

[0026] As an alternative implementation, in the first aspect of the present invention, the recognition parameters of each of the target objects include one or more of the recognition azimuth, recognition angle, recognition distance, and recognition area of the target object centered on the position of the recognizer corresponding to the electronic tag recognition function of the second sub-region.

[0027] As an alternative implementation, in the first aspect of the present invention, the method further includes:

[0028] Judge whether the recognition angle and / or recognition area of the target object is included in all the contents included in the recognition parameters of each of the target objects;

[0029] When the judgment result is negative, perform the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each of the target objects according to all the contents included in the recognition parameters of each of the target objects by the second sub-region;

[0030] When the judgment result is positive, determine the geometric parameters of each of the target objects, and the geometric parameters of each of the target objects include shape and / or size;

[0031] Determine whether the geometric parameters of each of the target objects are the same;

[0032] When it is determined that they are the same, trigger the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object for the second sub-region.

[0033] As an optional implementation manner, in the first aspect of the present invention, all the contents included in the recognition parameters of each target object further include the recognition distance of the target object; the method further includes:

[0034] When it is determined that they are different, group the target objects with the shortest recognition distance pairwise with each of the remaining target objects respectively to obtain at least one object group, and each object group includes the target object with the shortest recognition distance and one other target object;

[0035] For any one of the object groups:

[0036] According to all the geometric parameters of the two target objects in the object group, calculate the geometric differences between the geometric parameters of the same type in sequence, and calculate the geometric difference between the two target objects according to the geometric differences between the geometric parameters of the same type in the two target objects;

[0037] According to the recognition distance and geometric parameters of each of the two target objects, determine the target correction object that matches the parameter correction method from the two target objects;

[0038] According to the geometric difference between the two target objects, correct the recognition angle and / or recognition area of the target correction object to obtain the corrected recognition parameters. When the corrected recognition parameters corresponding to all the object groups are determined, perform the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object for the second sub-region.

[0039] The second aspect of the present invention discloses an execution result recognition device applied to a puzzle device, and the device includes:

[0040] A recognition module, configured to, when detecting that a target object is placed in the first sub-region of the puzzle device, recognize the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region, where the target object is an object whose electronic tag identity information needs to be recognized;

[0041] A determination module, configured to determine an execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object.

[0042] As an optional implementation manner, in the second aspect of the present invention, the electronic tag recognition function corresponding to the first sub-region includes one or more of an NFC recognition function, an RFID recognition function, an electromagnetic recognition function, and an image recognition function;

[0043] The specific manner in which the recognition module recognizes the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region includes:

[0044] Recognizing the magnetic field information of the target object based on the electromagnetic recognition function corresponding to the first sub-region, and when the magnetic field information of the target object meets a preset condition, determining the electronic tag identity information corresponding to the magnetic field information of the target object according to a pre-set mapping relationship between the magnetic field and the identity as the electronic tag identity information of the target object, where the magnetic field information of the target object includes the magnetic field strength and / or magnetic field direction of the target object; and / or,

[0045] Recognizing the target object based on the NFC recognition function corresponding to the first sub-region to obtain first data, acquiring second data sent by the target object, and parsing the first data and the second data to obtain the electronic tag identity information of the target object; and / or,

[0046] Recognizing the data of the target object based on the RFID recognition function corresponding to the first sub-region and parsing the data of the target object to obtain the electronic tag identity information of the target object; and / or,

[0047] Recognizing the image information of the target object based on the image recognition function corresponding to the first sub-region and analyzing the image information of the target object to obtain the electronic tag identity information of the target object.

[0048] As an optional implementation manner, in the second aspect of the present invention, there are multiple sub-regions in the puzzle device, each sub-region has a corresponding electronic tag recognition function, and each sub-region is used to place an object;

[0049] The device further includes:

[0050] A judgment module, configured to judge whether at least two of the target objects are respectively placed in their respective first sub-regions; when the judgment result is negative, trigger the determination module to execute the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the electronic tag identity information of the recognized target object.

[0051] The judgment module is further configured to, when the judgment result is positive, judge whether there is a second sub-region in all the first sub-regions, where the second sub-region is a sub-region whose corresponding electronic tag recognition function can simultaneously detect at least two of the target objects; when it is determined that there is no such second sub-region, trigger the determination module to execute the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the electronic tag identity information of the recognized target object.

[0052] As an optional implementation manner, in the second aspect of the present invention, the device further includes:

[0053] An acquisition module, configured to, when the judgment module determines that there is the second sub-region, for any one of the second sub-regions, acquire the recognition parameters of each of the target objects recognized by the identity recognition function corresponding to the second sub-region.

[0054] The determination module is further configured to determine the recognition strength of the electronic tag recognition function of the second sub-region for each of the target objects according to all the contents included in the recognition parameters of each of the target objects by the second sub-region.

[0055] A screening module, configured to screen, from the electronic tag identity information of all the target objects, the electronic tag identity information of the target object corresponding to the strongest recognition strength as the electronic tag identity information of the target object placed in the second sub-region.

[0056] Wherein, the specific manner in which the determination module determines the execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object includes:

[0057] When the electronic tag identity information of the target object placed in each of the second sub-regions is determined in each of all the second sub-regions, determine the execution result corresponding to the target object placed in the second sub-region based on the recognized electronic tag identity information of the target object placed in each of the second sub-regions.

[0058] As an alternative implementation manner, in the second aspect of the present invention, the recognition parameters of each of the target objects include one or more of the recognition orientation, recognition angle, recognition distance, and recognition area of the target object centered on the position of the recognizer corresponding to the electronic tag recognition function of the second sub-region.

[0059] As an alternative implementation manner, in the second aspect of the present invention, the judgment module is further configured to judge whether the recognition angle and / or recognition area of the target object are included in all the contents included in the recognition parameters of each of the target objects; when the judgment result is negative, trigger the determination module to perform the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each of the target objects according to all the contents included in the recognition parameters of each of the target objects for the second sub-region;

[0060] The determination module is further configured to, when the judgment result is positive, determine the geometric parameters of each of the target objects, and the geometric parameters of each of the target objects include shape and / or size;

[0061] The judgment module is further configured to judge whether the geometric parameters of each of the target objects among all the target objects are the same; when it is judged that they are the same, trigger the determination module to perform the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each of the target objects according to all the contents included in the recognition parameters of each of the target objects for the second sub-region.

[0062] As an alternative implementation manner, in the second aspect of the present invention, all the contents included in the recognition parameters of each of the target objects further include the recognition distance of the target object; the device further includes:

[0063] A grouping module, configured to, when the judgment module judges that they are different, group the target objects with the shortest recognition distance with each of the remaining all target objects pairwise to obtain at least one object group, and each object group includes the target object with the shortest recognition distance and one other target object;

[0064] A calculation module, configured to, for any one of the object groups: calculate the geometric differences between the geometric parameters of the same type according to all the geometric parameters of the two target objects in the object group, and calculate the geometric differences between the two target objects according to the geometric differences between the geometric parameters of the same type in the two target objects;

[0065] The determination module is further configured to determine a target correction object matching the parameter correction method from the two target objects according to the recognition distance and geometric parameters of each of the two target objects;

[0066] A correction module, configured to correct the recognition angle and / or recognition area of the target correction object according to the geometric difference between the two target objects, so as to obtain corrected recognition parameters.

[0067] The determination module is further configured to, when the corrected recognition parameters corresponding to all the object groups are determined, trigger the execution of the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object for the second sub-region.

[0068] The third aspect of the present invention discloses another execution result recognition device applied to an educational device. The recognition device includes:

[0069] A memory storing executable program code;

[0070] A processor coupled to the memory;

[0071] The processor calls the executable program code stored in the memory and executes some or all of the steps in any one of the execution result recognition methods applied to an educational device disclosed in the first aspect of the present invention.

[0072] The fourth aspect of the present invention discloses an educational device. The educational device includes a device body, and the educational device is configured to execute some or all of the steps in any one of the execution result recognition methods applied to an educational device disclosed in the first aspect of the present invention.

[0073] The fifth aspect of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute some or all of the steps in any one of the execution result recognition methods applied to an educational device disclosed in the first aspect of the present invention.

[0074] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0075] In an embodiment of the present invention, when it is detected that a target object is placed in the first sub-region of the educational device, the electronic tag identity information of the target object is identified based on the electronic tag recognition function corresponding to the first sub-region; based on the identified electronic tag identity information of the target object, the execution result corresponding to the target object placed in the first sub-region is determined. It can be seen that the present invention can perform intelligent electronic tag identity information recognition on the object placed in the sub-region of the educational device through the electronic tag recognition function corresponding to the sub-region of the educational device, and perform subsequent execution results such as question setting or answering according to the identified electronic tag identity information. Even a single user can interact with the educational device, or when multiple users interact together, they are no longer limited to the need for multiple users to gather at the location where the educational device is located, and remote interaction can be carried out online, improving the interaction efficiency of the educational device, thereby improving the user experience of the educational device. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0077] Figure 1 is a flowchart of a method for identifying an execution result applied to an educational device disclosed in an embodiment of the present invention;

[0078] Figure 2 is a flowchart of another method for identifying an execution result applied to an educational device disclosed in an embodiment of the present invention;

[0079] Figure 3 is a flowchart of a device for identifying an execution result applied to an educational device disclosed in an embodiment of the present invention;

[0080] Figure 4 is a structural diagram of another device for identifying an execution result applied to an educational device disclosed in an embodiment of the present invention;

[0081] Figure 5 is a structural diagram of yet another device for identifying an execution result applied to an educational device disclosed in an embodiment of the present invention;

[0082] Figure 6 is a structural diagram of an educational device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0083] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0084] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or terminal comprising a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0085] Referring to "embodiment" herein means that a specific feature, structure or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0086] The present invention discloses a method and device for identifying execution results applied to a puzzle device, which can intelligently identify the identity information of an electronic tag of an object placed in a sub-region of the puzzle device through the electronic tag recognition function corresponding to the sub-region of the puzzle device, and perform subsequent execution results such as question setting or answering according to the identified electronic tag identity information. Even a single user can interact with the puzzle device, or when multiple users interact together, they are no longer limited to the need for multiple users to gather at the location where the puzzle device is located, and can interact remotely through the Internet, improving the interaction efficiency of the puzzle device, thereby improving the user experience of the puzzle device. The following will be described in detail respectively.

[0087] Embodiment 1

[0088] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of a method for identifying execution results applied to a puzzle device disclosed in an embodiment of the present invention. Among them, Figure 1The described method can be applied to an execution result recognition device of an educational device, wherein the recognition device can be the educational device itself or a control server corresponding to the educational device, wherein the educational device can be any device capable of playing educational games, such as a smart chessboard. Figure 1 As shown, the execution result recognition method applied to the intelligence device may include the following operations:

[0089] 101. When it is detected that a target object is placed in a first sub-area of ​​an educational device, electronic tag identity information of the target object is identified based on an electronic tag identification function corresponding to the first sub-area.

[0090] In the embodiment of the present invention, the target object can be understood as any object that can be placed in a sub-area of ​​the educational device and is compatible with the educational device, such as a smart chessboard corresponding to chess pieces, and both the educational device and the target object have unique corresponding identities. Further, the educational device can be an educational device of any shape and material.

[0091] In the embodiment of the present invention, optionally, when the electronic tag recognition function of a certain sub-region on the educational device generates induction or reaction, it indicates that an object is stored in the certain sub-region.

[0092] In the embodiment of the present invention, optionally, the electronic tag recognition function corresponding to the first sub-area includes one or more of an NFC recognition function, an RFID recognition function, an electromagnetic recognition function and an image recognition function.

[0093] 102. Determine an execution result corresponding to the target object placed in the first sub-area based on the electronic tag identity information of the identified target object.

[0094] In the embodiment of the present invention, the execution result corresponding to the target object includes asking questions or answering questions.

[0095] It can be seen that implementation Figure 1 The described method can intelligently identify the electronic tag identity information of the object placed in the sub-area of ​​the educational device through the electronic tag identification function corresponding to the sub-area of ​​the educational device, and perform subsequent execution results based on the identified electronic tag identity information, such as asking questions or answering questions. Even a single user can interact with the educational device, or when multiple users interact together, they are no longer restricted to the need for multiple users to gather at the location of the educational device, and remote interaction can be carried out online, which improves the convenience and enthusiasm of user participation, thereby improving the interaction efficiency of the educational device, and further improving the user's experience of the educational device.

[0096] In an embodiment of the present invention, optionally, a method for identifying the electronic tag identity information of a target object based on the electronic tag identification function corresponding to the first sub-region includes:

[0097] Identify the magnetic field information of the target object based on the electromagnetic identification function corresponding to the first sub-region. When the magnetic field information of the target object meets the preset conditions, determine the electronic tag identity information corresponding to the magnetic field information of the target object according to the pre-set mapping relationship between the magnetic field and the identity as the electronic tag identity information of the target object. The magnetic field information of the target object includes the magnetic field strength and / or magnetic field direction of the target object; and / or,

[0098] Identify the target object based on the NFC identification function corresponding to the first sub-region, obtain the first data, and acquire the second data sent by the target object, and parse the first data and the second data to obtain the electronic tag identity information of the target object; and / or,

[0099] Identify the data of the target object based on the RFID identification function corresponding to the first sub-region, and parse the data of the target object to obtain the electronic tag identity information of the target object; and / or,

[0100] Identify the image information of the target object based on the image recognition function corresponding to the first sub-region, and analyze the image information of the target object to obtain the electronic tag identity information of the target object.

[0101] In the embodiment of the present invention, a sensing module is provided inside the target object. For different target objects, the magnetic fields sensed by the sensing module are different, and a mapping relationship between different magnetic fields and the corresponding electronic tag identity information identifiers is pre-stored. The electronic tag identity information corresponding to the corresponding magnetic field can be determined through the corresponding mapping relationship, so as to determine the electronic tag identity information of the target object. Among them, the preset condition is used to indicate that the magnetic field information detected in the first sub-region is not empty. For example, when the Hough sensor in a certain area on the chessboard detects magnetic field information, it means that there is a chess piece placed in that area on the chessboard.

[0102] In the embodiment of the present invention, an NFC chip is provided inside the target object, and the electronic tag identity information data of the target object is carried on the NFC chip. The first data includes the first electronic tag identity information data identified, and the second data includes the second electronic tag identity information data identified. An RFID module is provided inside the target object, and the electronic tag identity information data of the target object is carried on the RFID module. The data of the target object is the electronic tag identity information data of the target object.

[0103] In the embodiment of the present invention, the appearance textures of different target objects are different and / or the set images are different.

[0104] It can be seen that the embodiments of the present invention can also identify the electronic tag identity information of the objects placed in the area through the electromagnetic identification function and / or NFC identification function and / or RFID identification function in the intelligent device area, which can enrich the identification methods of the electronic tag identity information of the objects, improve the identification efficiency of the electronic tag identity information of the objects, and the probability of successfully identifying the electronic tag identity information of the objects.

[0105] In an optional embodiment, the method further includes the following steps:

[0106] Collect all object placement information on the intelligent device before the target object is placed in the first sub-region of the intelligent device. All object placement information includes one or more of the placement positions of all objects, the number of all objects, the electronic tag identity information identifiers of all objects, the placement duration of each object, and the sliding trajectory of each object;

[0107] Determine the execution result type corresponding to when the target object is placed on the intelligent device according to all object placement information on the intelligent device and the information of the target object. Among them, the execution result type includes an exam question type or a answering question type, and the information of the target object includes the electronic tag identity information of the target object;

[0108] In this optional embodiment, optionally, based on the identified electronic tag identity information of the target object, determining the execution result corresponding to the target object placed in the first sub-region includes:

[0109] Based on the identified electronic tag identity information of the target object and the execution result type corresponding to the intelligent device, determine the execution result corresponding to the target object placed in the first sub-region.

[0110] In this optional embodiment, optionally, according to all object placement information on the intelligent device, determining the execution result type corresponding to when the target object is placed on the intelligent device includes:

[0111] According to all object placement information on the intelligent device, determine the sorting of the target object placed in the first sub-region of the intelligent device, and determine whether the sorting corresponding to the target object is less than a preset sorting threshold. When the judgment result is yes, determine that the execution result type corresponding to when the target object is placed on the intelligent device is the exam question type. When the judgment result is no, determine that the execution result type corresponding to when the target object is placed on the intelligent device is the answering question type.

[0112] It can be seen that in this optional embodiment, by using various information such as the placement positions, placement durations, electronic tag identity information identifiers, quantities, and sliding trajectories of all objects on the puzzle device before the current object is placed, the execution result type corresponding to the current object placed on the puzzle device is determined, which can improve the accuracy of determining the execution result type. Furthermore, by combining the electronic tag identity information of the current object, the execution result is jointly determined, which can improve the accuracy of determining the execution result. In addition, by determining the sorting corresponding to the current object when placed on the puzzle device based on all object placement information automatically determined on the puzzle device, the execution result type is determined, which can improve the accuracy of determining the execution result type.

[0113] Embodiment 2

[0114] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of another execution result recognition method applied to a puzzle device disclosed in an embodiment of the present invention. Among them, Figure 2 the described method can be applied to an execution result recognition device of a puzzle device. Among them, the recognition device can be the puzzle device itself or the control server corresponding to the puzzle device. Among them, the puzzle device can be any device capable of playing puzzle games, such as a smart chessboard, etc. As Figure 2 shown, the execution result recognition method applied to a puzzle device may include the following operations:

[0115] 201. When it is detected that a target object is placed in the first sub-region of the puzzle device, the electronic tag identity information of the target object is recognized based on the electronic tag recognition function corresponding to the first sub-region.

[0116] In an embodiment of the present invention, the puzzle device has multiple sub-regions, and each sub-region has a corresponding electronic tag recognition function, and each sub-region is used to place objects. Among them, for the electronic tag recognition function of each sub-region, please refer to the description of the electronic tag recognition function corresponding to the first sub-region, and details are not described here again.

[0117] 202. Determine whether it is detected that at least two target objects are simultaneously placed in their respective first sub-regions; when the determination result is no, step 207 is triggered; when the determination result is yes, step 203 is triggered.

[0118] 203. Determine whether there is a second sub-region among all the first sub-regions, where the second sub-region is a sub-region whose corresponding electronic tag recognition function can simultaneously detect at least two target objects; when it is determined that there is no second sub-region, step 207 is triggered; when it is determined that there is a second sub-region, step 204 is triggered.

[0119] In an embodiment of the present invention, optionally, when the electronic tag recognition functions in all the second sub-regions simultaneously recognize the identity information of at least two electronic tags, or further determine that all the recognized electronic tag identity information does not match each other, it is determined that there is at least one second sub-region in which the corresponding electronic tag recognition function can simultaneously detect at least two target objects.

[0120] 204. For any second sub-region: Obtain the recognition parameters of each target object recognized by the identity recognition function corresponding to the second sub-region, and determine the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of the second sub-region for each target object.

[0121] In an embodiment of the present invention, the recognition parameters of each target object include one or more of the recognition orientation, recognition angle, recognition distance, and recognition area of the target object centered on the position of the recognizer corresponding to the electronic tag recognition function of the second sub-region.

[0122] 205. From the electronic tag identity information of all target objects, screen out the electronic tag identity information of the target object corresponding to the strongest recognition intensity as the electronic tag identity information of the target object placed in the second sub-region.

[0123] 206. When the electronic tag identity information of the target object placed in each second sub-region is determined in all the second sub-regions, based on the electronic tag identity information of the target object placed in each recognized second sub-region, determine the execution result corresponding to the target object placed in the second sub-region.

[0124] 207. Based on the recognized electronic tag identity information of the target object, determine the execution result corresponding to the target object placed in the first sub-region.

[0125] In an embodiment of the present invention, for the description of other specific technical details of steps 201 and 207, please refer to the description of steps 101-102 in Embodiment 1, which will not be repeated here.

[0126] It can be seen that the implementation Figure 2The described method can identify the identity information of the electronic tag of the object placed in the sub-region of the educational device through the electronic tag recognition function corresponding to the sub-region of the educational device, and perform subsequent execution results such as question setting or answering according to the identified electronic tag identity information. Even a single user can interact with the educational device. Or when multiple users interact together, it is no longer limited to the need for multiple users to gather at the location where the educational device is located. Through the online method, remote interaction can be carried out, improving the convenience and enthusiasm of user participation, thereby improving the interaction efficiency of the educational device and thus enhancing the user experience of the educational device. In addition, when it is detected that multiple objects are placed in the corresponding area at the same time, if not, or if so but the electronic tag recognition function in the same area does not detect two objects at the same time, the subsequent determination operation of the execution result is directly performed, which can improve the execution accuracy and reliability of the determination operation; if the electronic tag recognition function in the same area detects two objects at the same time, then according to the recognition intensity of each object determined by various recognition parameters of all objects recognized by the electronic tag recognition function in the same area, the determination accuracy of the recognition intensity of each object can be improved, and the object with the strongest recognition intensity is selected from them as the object placed in this area, which can improve the determination accuracy of the actual object placed in each area, thereby improving the determination accuracy of the execution result corresponding to the object placed in the corresponding area.

[0127] In an optional embodiment, the method may further include the following steps:

[0128] Judge whether all the contents included in the recognition parameters of each target object include the recognition angle and / or recognition area of the target object;

[0129] When the judgment result is negative, perform the above operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object in the second sub-region;

[0130] When the judgment result is positive, determine the geometric parameters of each target object, and the geometric parameters of each target object include shape and / or size;

[0131] Judge whether the geometric parameters of each target object among all target objects are the same;

[0132] When it is judged that the geometric parameters of each target object among all target objects are the same, trigger the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object in the second sub-region.

[0133] It can be seen that in this alternative embodiment, when it is determined that the recognized recognition parameters do not include the recognition angle and / or recognition area of the object, or if it is determined that the recognition angle and / or recognition area are included but it is determined that the shape and / or size of each object are the same, the subsequent determination operation of determining the recognition intensity of the object is performed, which can improve the execution accuracy and reliability of this operation, thereby facilitating the determination accuracy of the recognition intensity of the object.

[0134] In another alternative embodiment, all the content included in the recognition parameters of each target object further includes the recognition distance of the target object; the method may further include the following steps:

[0135] When it is determined that there are target objects with different geometric parameters among all the target objects, the target object with the shortest recognition distance is grouped pairwise with each of the remaining target objects among all the remaining target objects to obtain at least one object group, and each object group includes the target object with the shortest recognition distance and one other target object;

[0136] For any object group: According to all the geometric parameters of the two target objects in the object group, calculate the geometric differences between the geometric parameters of the same type in turn, and calculate the geometric difference between the two target objects according to the geometric differences between the geometric parameters of the same type in the two target objects.

[0137] According to the recognition distance and geometric parameters of each target object in the two target objects, determine the target correction object that matches the parameter correction method from the two target objects;

[0138] According to the geometric difference between the two target objects, correct the recognition angle and / or recognition area of the target correction object to obtain the corrected recognition parameters. When the corrected recognition parameters corresponding to all the object groups are determined, perform the above operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the content included in the recognition parameters of each target object in the second sub-region.

[0139] In this alternative embodiment, optionally, according to the recognition distance and geometric parameters of each target object in the two target objects, determining the target correction object that matches the parameter correction method from the two target objects includes:

[0140] When the geometric parameter of the target object includes size, according to the size of each target object in the two target objects, determine whether the target object with the larger size is the target object with the longer recognition distance. When the judgment result is no, determine the target object with the shorter recognition distance in the two target objects as the target correction object that matches the parameter correction method. When the judgment result is yes, determine the target object with the longer recognition distance in the two target objects as the target correction object that matches the parameter correction method.

[0141] It can be seen that in this alternative embodiment, when it is determined that the shapes and / or sizes of each object are different, the object with the shortest recognition distance is used as a reference for pairwise combination. For each pair of combinations, the geometric difference between the two is calculated based on the geometric parameters between them, and the required correction object is screened according to the recognition distance and the corresponding geometric parameters. Thus, based on the geometric difference between the two, the recognition angle and / or recognition area of the required correction object is determined. Furthermore, after all combinations are corrected, the recognition intensity of the object is determined, which can improve the recognition accuracy of the recognition intensity and reduce the situation where the determination of the recognition intensity is affected due to the different sizes and / or shapes of the objects.

[0142] Embodiment III

[0143] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an execution result recognition device applied to a puzzle device disclosed in an embodiment of the present invention. Among them, the execution result recognition device applied to the puzzle device can be the puzzle device itself or the control server corresponding to the puzzle device. Among them, the puzzle device can be any device capable of playing puzzle games, such as an intelligent chessboard, etc. As Figure 3 shown, the execution result recognition device applied to the puzzle device includes:

[0144] A recognition module 301, configured to, when detecting that a target object is placed in the first sub-region of the puzzle device, recognize the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region, where the target object is an object whose electronic tag identity information is to be recognized;

[0145] A determination module 302, configured to determine an execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object.

[0146] It can be seen that the execution result recognition device applied to the puzzle device described in Figure 3 can perform intelligent electronic tag identity information recognition on the object placed in the sub-region of the puzzle device through the electronic tag recognition function corresponding to the sub-region of the puzzle device, and perform subsequent execution results, such as setting questions or answering questions, according to the recognized electronic tag identity information. Even a single user can interact with the puzzle device. Or when multiple users interact together, they are no longer limited to the need for multiple users to gather at the location of the puzzle device. They can interact remotely through the Internet, improving the participation convenience and enthusiasm of users, thereby improving the interaction efficiency of the puzzle device and thus improving the user experience of the puzzle device.

[0147] In an optional embodiment, the electronic tag recognition function corresponding to the first sub-region includes one or more of NFC recognition function, RFID recognition function, electromagnetic recognition function, and image recognition function;

[0148] The specific manner in which the recognition module 301 recognizes the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region includes:

[0149] Recognize the magnetic field information of the target object based on the electromagnetic recognition function corresponding to the first sub-region. When the magnetic field information of the target object meets the preset conditions, determine the electronic tag identity information corresponding to the magnetic field information of the target object according to the pre-set mapping relationship between the magnetic field and the identity as the electronic tag identity information of the target object. The magnetic field information of the target object includes the magnetic field strength and / or magnetic field direction of the target object; and / or,

[0150] Based on the NFC recognition function corresponding to the first sub-region, recognize the target object to obtain the first data, obtain the second data sent by the target object, and analyze the first data and the second data to obtain the electronic tag identity information of the target object; and / or,

[0151] Based on the RFID recognition function corresponding to the first sub-region, recognize the data of the target object and analyze the data of the target object to obtain the electronic tag identity information of the target object; and / or,

[0152] Based on the image recognition function corresponding to the first sub-region, recognize the image information of the target object and analyze the image information of the target object to obtain the electronic tag identity information of the target object.

[0153] It can be seen that implementing Figure 3 The execution result recognition device applied to the educational device described above can also recognize the electronic tag identity information of the object placed in the area through the electromagnetic recognition function and / or NFC recognition function and / or RFID recognition function in the educational device area, which can enrich the recognition methods of the electronic tag identity information of the object and improve the recognition efficiency of the electronic tag identity information of the object and the probability of successfully recognizing the electronic tag identity information of the object.

[0154] In another optional embodiment, the educational device has multiple sub-regions, each sub-region has a corresponding electronic tag recognition function, and each sub-region is used to place an object; and as Figure 4 shown, the device further includes:

[0155] A judgment module 303 is configured to judge whether at least two target objects are simultaneously detected and placed in their respective first sub-regions; when the judgment result is negative, trigger the determination module 302 to perform the above operation of determining an execution result corresponding to the target object placed in the first sub-region based on the electronic tag identity information of the recognized target object;

[0156] The judgment module 303 is further configured to, when the judgment result is positive, judge whether there is a second sub-region among all the first sub-regions, where the second sub-region is a sub-region whose corresponding electronic tag recognition function can simultaneously detect at least two target objects; when it is determined that there is no such second sub-region, trigger the determination module 302 to perform the above operation of determining an execution result corresponding to the target object placed in the first sub-region based on the electronic tag identity information of the recognized target object.

[0157] It can be seen that implementing Figure 4 the described execution result recognition device applied to the educational device can directly perform the subsequent operation of determining the execution result only when it is detected that multiple objects are simultaneously placed in the corresponding regions, and if not or if so but there is no case where the electronic tag recognition function of the same region can simultaneously detect two objects, which can improve the accuracy and reliability of the execution of this determination operation.

[0158] In another alternative embodiment, as Figure 4 shown, the device further includes;

[0159] An acquisition module 304 is configured to, when the judgment module 303 determines that there is a second sub-region, for any second sub-region: acquire the recognition parameters of each target object recognized by the identity recognition function corresponding to the second sub-region;

[0160] The determination module 302 is further configured to determine the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object by the second sub-region;

[0161] A screening module 305 is configured to screen out the electronic tag identity information of the target object corresponding to the strongest recognition intensity from the electronic tag identity information of all the target objects as the electronic tag identity information of the target object placed in the second sub-region;

[0162] Wherein, the specific manner in which the determination module 302 determines an execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object includes:

[0163] When the electronic tag identity information of the target object placed in each of all the second sub-regions is determined, based on the electronic tag identity information of the target object placed in each recognized second sub-region, determine the execution result corresponding to the target object placed in the second sub-region.

[0164] In this optional embodiment, optionally, the recognition parameters of each target object include one or more of the recognition orientation, recognition angle, recognition distance, and recognition area of the target object centered on the position of the recognizer corresponding to the electronic tag recognition function of the second sub-region.

[0165] It can be seen that when implementing Figure 4 the execution result recognition device applied to the educational device described above, if the electronic tag recognition functions in the same region detect two objects simultaneously, then automatically according to the recognition intensity of each object determined by various recognition parameters of all the objects recognized by the electronic tag recognition function in the same region, it is possible to improve the determination accuracy of the recognition intensity of each object, and select the object with the strongest recognition intensity as the object placed in this region, which can improve the determination accuracy of the actual object placed in each region, and thus improve the determination accuracy of the execution result corresponding to the object placed in the corresponding region.

[0166] In another optional embodiment, as Figure 4 shown, the judgment module 303 is further configured to judge whether all the contents included in the recognition parameters of each target object include the recognition angle and / or recognition area of the target object; when the judgment result is negative, trigger the determination module 302 to perform the above operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object by the second sub-region.

[0167] The determination module 302 is further configured to, when the judgment result is positive, determine the geometric parameters of each target object, and the geometric parameters of each target object include shape and / or size.

[0168] The judgment module 303 is further configured to judge whether the geometric parameters of each target object among all the target objects are the same; when it is judged that they are the same, trigger the determination module 302 to perform the above operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object by the second sub-region.

[0169] It can be seen that when implementing Figure 4The described execution result recognition device applied to the puzzle device can perform the subsequent determination operation of determining the recognition intensity of the object only when it is determined that the recognized recognition parameters do not include the recognition angle and / or recognition area of the object, or when it is determined that the recognition angle and / or recognition area are included but the shape and / or size of each object are the same, which can improve the execution accuracy and reliability of this operation, and thus is beneficial to the determination accuracy of the recognition intensity of the object.

[0170] In yet another alternative embodiment, all the contents included in the recognition parameters of each of the target objects further include the recognition distance of the target object; and as Figure 4 shown, the device further includes:

[0171] A grouping module 306, configured to, when the determination module 303 determines that they are different, group the target object with the shortest recognition distance with each of the remaining target objects pairwise to obtain at least one object group, and each object group includes the target object with the shortest recognition distance and one other target object;

[0172] A calculation module 307, configured to, for any object group: calculate the geometric differences between the geometric parameters of the same type in sequence according to all the geometric parameters of the two target objects in the object group, and calculate the geometric difference between the two target objects according to the geometric differences between the geometric parameters of the same type in the two target objects;

[0173] The determination module 302 is further configured to determine a target correction object that matches the parameter correction method from the two target objects according to the recognition distance and geometric parameters of each of the two target objects;

[0174] A correction module 308, configured to correct the recognition angle and / or recognition area of the target correction object according to the geometric difference between the two target objects to obtain the corrected recognition parameters;

[0175] The determination module 302 is further configured to, after determining the corrected recognition parameters corresponding to all the object groups, perform the above operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object in the second sub-region.

[0176] In this alternative embodiment, optionally, the specific manner in which the determination module 302 determines a target correction object that matches the parameter correction method from the two target objects according to the recognition distance and geometric parameters of each of the two target objects includes:

[0177] When the geometric parameter of the target object includes size, based on the size of each of the two target objects, determine whether the target object with the larger size is the target object with a longer recognition distance. When the judgment result is no, determine the target object with the shorter recognition distance among the two target objects as the target correction object matching the parameter correction method. When the judgment result is yes, determine the target object with the longer recognition distance among the two target objects as the target correction object matching the parameter correction method.

[0178] It can be seen that implementing Figure 4 The execution result recognition device applied to the educational device described above can also, when it is determined that the shapes and / or sizes of each object are different, take the object with the shortest recognition distance as the benchmark, make pairwise combinations. For each group of combinations, calculate the geometric difference between the two based on the geometric parameters between them, and screen the required correction objects according to the recognition distance and the corresponding geometric parameters. Then, based on the geometric difference between the two, the recognition angle and / or recognition area of the required correction object is determined. Furthermore, after all combinations are corrected, the recognition intensity of the object is determined, which can improve the recognition accuracy of the recognition intensity and reduce the situation where the determination of the recognition intensity is affected due to the different sizes and / or shapes of the objects.

[0179] In another optional embodiment, as Figure 4 shown, the recognition module 301 is further configured to collect all object placement information on the educational device before the target object is placed in the first sub-region of the educational device. All object placement information includes one or more of the placement positions of all objects, the number of all objects, the electronic tag identity information identifiers of all objects, and the placement duration of each object;

[0180] The determination module 302 is further configured to determine the execution result type corresponding to when the target object is placed on the educational device according to all object placement information on the educational device and the information of the target object. Among them, the execution result type includes a question type or an answer type, and the information of the target object includes the electronic tag identity information of the target object.

[0181] Among them, the specific manner in which the determination module 302 determines the execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object includes:

[0182] Based on the recognized electronic tag identity information of the target object and the execution result type corresponding to the educational device, determine the execution result corresponding to the target object placed in the first sub-region.

[0183] In this optional embodiment, optionally, the specific manner in which the determination module 302 determines the execution result type corresponding to when the target object is placed on the educational device according to all object placement information on the educational device includes:

[0184] According to all the object placement information on the puzzle device, determine the sorting of the target object placed in the first sub-region of the puzzle device, and determine whether the sorting corresponding to the target object is less than a preset sorting threshold. When the judgment result is yes, determine that the execution result type corresponding to the target object when placed on the puzzle device is the question type; when the judgment result is no, determine that the execution result type corresponding to the target object when placed on the puzzle device is the answer type.

[0185] It can be seen that implementing Figure 4 The execution result recognition device applied to the puzzle device described above can also determine the execution result type corresponding to the current object placed on the puzzle device based on various information such as the placement positions, placement durations, electronic tag identity information identifiers, and quantities of all objects on the puzzle device before the current object is placed on the puzzle device. This can improve the accuracy of determining the execution result type. Furthermore, by combining the electronic tag identity information of the current object, the execution result can be jointly determined, which can improve the accuracy of determining the execution result; and by determining the execution result type based on the sorting corresponding to the current object placed on the puzzle device automatically determined according to all the object placement information on the puzzle device, the accuracy of determining the execution result type can be improved.

[0186] Embodiment Four

[0187] Please refer to Figure 5 , Figure 5 FIG. is a schematic structural diagram of another execution result recognition device applied to a puzzle device disclosed in an embodiment of the present invention. Among them, the recognition device can be the puzzle device itself or the control server corresponding to the puzzle device. Among them, the puzzle device can be any device capable of playing puzzle games, such as a smart chessboard, etc. And, as Figure 5 shown, the execution result recognition device applied to the puzzle device may include:

[0188] A memory 401 storing executable program code;

[0189] A processor 402 coupled to the memory 401;

[0190] Further, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0191] Among them, the processor 402 calls the executable program code stored in the memory 401 and executes some or all of the steps of the execution result recognition method applied to the puzzle device disclosed in Embodiment One or Embodiment Two of the present invention.

[0192] Embodiment Five

[0193] An embodiment of the present invention discloses a puzzle device. The puzzle device includes a device body, and the device body includes asFigure 3-4 The described device is used to execute some or all of the steps in the execution result recognition method applied to the puzzle device disclosed in Embodiment 1 or Embodiment 2 of the present invention.

[0194] Embodiment 6

[0195] Embodiment of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions, which when called, are used to execute some or all of the steps in the execution result recognition method applied to the puzzle device disclosed in Embodiment 1 or Embodiment 2 of the present invention.

[0196] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0197] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each implementation can be realized by means of software plus a necessary general hardware platform, and of course, it can also be realized by hardware. Based on such an understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, and the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium capable of carrying or storing data.

[0198] Finally, it should be noted that what is disclosed in an execution result recognition method and device for a puzzle device disclosed in the embodiments of the present invention is only the preferred embodiments of the present invention, and is only used to illustrate the technical solutions of the present invention, rather than limiting it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying execution results applied to an educational device, characterized in that, the method includes: When it is detected that a target object is placed in the first sub-region of the educational device, identify the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region; Based on the identified electronic tag identity information of the target object, determine the execution result corresponding to the target object placed in the first sub-region; Wherein, there are multiple sub-regions in the educational device, each sub-region has a corresponding electronic tag recognition function, and each sub-region is used to place an object; wherein, all the sub-regions include the first sub-region, and all the objects corresponding to the sub-regions include the target object corresponding to the first sub-region; The method further includes: Judge whether it is detected that at least two of the target objects are respectively placed in their respective first sub-regions at the same time; When the judgment result is no, perform the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the identified electronic tag identity information of the target object; When the judgment result is yes, judge whether there is a second sub-region among all the first sub-regions, and the second sub-region is a sub-region whose corresponding electronic tag recognition function can detect at least two of the target objects at the same time; When it is judged that there is no second sub-region, perform the operation of determining the execution result corresponding to the target object placed in the first sub-region based on the identified electronic tag identity information of the target object; The method further includes: When it is judged that there is a second sub-region, for any one of the second sub-regions: Obtain the recognition parameters of each target object recognized by the identity recognition function corresponding to the second sub-region, and determine the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of the second sub-region for each target object, and screen out the electronic tag identity information of the target object corresponding to the strongest recognition intensity from all the electronic tag identity information of the target objects, as the electronic tag identity information of the target object placed in the second sub-region; Wherein, the determining the execution result corresponding to the target object placed in the first sub-region based on the identified electronic tag identity information of the target object includes: When the electronic tag identity information of the target object placed in each second sub-region is determined in each second sub-region among all the second sub-regions, determine the execution result corresponding to the target object placed in the second sub-region based on the identified electronic tag identity information of the target object placed in each second sub-region.

2. The method for identifying execution results applied to an educational device according to claim 1, characterized in that, The electronic tag recognition function corresponding to the first sub-region includes one or more of NFC recognition function, RFID recognition function, electromagnetic recognition function and image recognition function; Identifying the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region includes: Identifying the magnetic field information of the target object based on the electromagnetic recognition function corresponding to the first sub-region. When the magnetic field information of the target object meets the preset conditions, according to the pre-set mapping relationship between the magnetic field and the identity, determining the electronic tag identity information corresponding to the magnetic field information of the target object as the electronic tag identity information of the target object. The magnetic field information of the target object includes the magnetic field strength and / or magnetic field direction of the target object; And / or, Based on the NFC recognition function corresponding to the first sub-region, identifying the target object to obtain first data, acquiring second data sent by the target object, and parsing the first data and the second data to obtain the electronic tag identity information of the target object; and / or, Based on the RFID recognition function corresponding to the first sub-region, identifying the data of the target object and parsing the data of the target object to obtain the electronic tag identity information of the target object; and / or, Based on the image recognition function corresponding to the first sub-region, identifying the image information of the target object and analyzing the image information of the target object to obtain the electronic tag identity information of the target object.

3. The execution result recognition method applied to the educational device according to claim 1 or 2, characterized in that, The recognition parameters of each target object include one or more of the recognition orientation, recognition angle, recognition distance, and recognition area of the target object centered on the position of the identifier corresponding to the electronic tag recognition function of the second sub-region.

4. The execution result recognition method applied to the educational device according to claim 1 or 2, characterized in that, The method further includes: Judging whether all the contents included in the recognition parameters of each target object include the recognition angle and / or recognition area of the target object; When the judgment result is negative, performing the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object by the second sub-region; When the judgment result is positive, determining the geometric parameters of each target object, and the geometric parameters of each target object include shape and / or size; Judging whether the geometric parameters of each target object among all the target objects are the same; When it is judged that they are the same, triggering the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object by the second sub-region.

5. The execution result recognition method applied to the educational device according to claim 4, characterized in that, All the contents included in the recognition parameters of each target object further include the recognition distance of the target object; the method further includes: When it is determined that they are different, the target object with the shortest recognition distance is grouped pairwise with each of the remaining target objects to obtain at least one object group, and each object group includes the target object with the shortest recognition distance and one other target object; For any one of the object groups: According to all the geometric parameters of the two target objects in the object group, calculate the geometric differences between the geometric parameters of the same type in sequence, and calculate the geometric difference between the two target objects according to the geometric differences between the geometric parameters of the same type in the two target objects; According to the recognition distance and geometric parameters of each of the two target objects, determine the target correction object that matches the parameter correction method from the two target objects; According to the geometric difference between the two target objects, correct the recognition angle and / or recognition area of the target correction object to obtain the corrected recognition parameters. When the corrected recognition parameters corresponding to all the object groups are determined, perform the operation of determining the recognition intensity of the electronic tag recognition function of the second sub-region for each target object according to all the contents included in the recognition parameters of each target object for the second sub-region.

6. An execution result recognition device applied to an educational device, characterized in that the device is used to execute the execution result recognition method applied to the educational device according to any one of claims 1-5, and the device includes: a recognition module, configured to, when detecting that a target object is placed in the first sub-region of the educational device, recognize the electronic tag identity information of the target object based on the electronic tag recognition function corresponding to the first sub-region, where the target object is an object whose electronic tag identity information is to be recognized; a determination module, configured to determine an execution result corresponding to the target object placed in the first sub-region based on the recognized electronic tag identity information of the target object.

7. An execution result recognition device applied to an educational device, characterized in that the recognition device includes: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory and executes the execution result recognition method applied to the educational device according to any one of claims 1-5.

8. An educational device, the educational device includes a device body, characterized in that the educational device is used to execute the execution result recognition method applied to the educational device according to any one of claims 1-5.

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