CN218332897U - Learning machine - Google Patents

Learning machine Download PDF

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Publication number
CN218332897U
CN218332897U CN202221681591.XU CN202221681591U CN218332897U CN 218332897 U CN218332897 U CN 218332897U CN 202221681591 U CN202221681591 U CN 202221681591U CN 218332897 U CN218332897 U CN 218332897U
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China
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camera
learning machine
speculum
reflector
shooting direction
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CN202221681591.XU
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Chinese (zh)
Inventor
周胜桃
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iFlytek Co Ltd
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iFlytek Co Ltd
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Abstract

The utility model relates to an electronic equipment technical field, the utility model provides a learning machine, this learning machine includes: a housing; the camera is arranged in the shell, and the shooting direction of the camera is parallel to the thickness direction of the shell; the speculum, the speculum install in the casing, the speculum orientation the camera, just the plane of reflection of speculum with the contained angle of the shooting direction of camera is the acute angle. The utility model provides a learning machine through at the inside speculum that sets up of casing, sets up the plane of reflection of speculum and the contained angle of the shooting direction of camera into the acute angle, can realize pointing the function of reading conveniently under the condition that does not change the mounting means of camera like this, can realize pointing the function of reading under the prerequisite of the electric circuit stability of ensureing learning machine and whole reliability.

Description

Learning machine
Technical Field
The utility model relates to an electronic equipment technical field especially relates to a learning machine.
Background
With the development of online education, more and more users utilize learning machines to perform auxiliary teaching and auxiliary learning, the learning machines can have the functions of displaying multimedia such as videos, pictures and documents at present and can also have the function of reading, the function of reading refers to that the learning machines can shoot media to be collected on a desktop and the positions pointed by the fingers of the users on the media to be collected, the positions pointed by the users can be identified and corresponding contents can be played, and therefore the users need to shoot the contents on the desktop through cameras.
At present, a camera of a learning machine is often fixedly installed, the angle of the camera is difficult to change, when the learning machine stands on a desktop, related contents on the desktop are difficult to directly shoot through the camera, and the function of finger reading is difficult to realize. In order to adjust the imaging angle of the camera of the learning machine, the orientation of the camera is often adjusted, and the shooting process of the electric element such as the camera is complex in the process of adjusting the position, the stability of a circuit is affected, and the reliability is poor.
SUMMERY OF THE UTILITY MODEL
The utility model provides a learning machine for it is more complicated to solve the shooting process among the prior art, and can influence the line stability, and the relatively poor defect of reliability realizes pointing the function of reading under the condition that does not change the mounting means of camera conveniently, can realize pointing the function of reading under the prerequisite of the electric line stability of ensureing learning machine and whole reliability.
The utility model provides a learning machine, this learning machine includes: a housing; the camera is arranged in the shell, and the shooting direction of the camera is parallel to the thickness direction of the shell; the speculum, the speculum install in the casing, the speculum orientation the camera, just the plane of reflection of speculum with the contained angle of the shooting direction of camera is the acute angle.
In some embodiments, the learning machine further comprises: the transparent cover plate is arranged on the shell and used for transmitting external light to the reflecting surface of the reflector.
In some embodiments, the learning machine further comprises: the reflector is arranged on the support, and the support is fixed on the shell.
In some embodiments, the bracket includes at least two mounting feet, each of the mounting feet is connected to the housing, at least two of the mounting feet are spaced apart, and the camera is disposed between at least two of the mounting feet.
In some embodiments, the reflector is rotatably mounted to the housing, and an included angle between a reflecting surface of the reflector and a shooting direction of the camera is adjustable.
In some embodiments, the learning machine further comprises: and the camera is electrically connected with the processor.
In some embodiments, the learning machine further comprises: a rotating mechanism connected with the mirror; and the power source is electrically connected with the processor and is in power coupling connection with the rotating mechanism.
In some embodiments, the camera is electrically connected to the processor through a board-to-board connector or a zero insertion force connector.
In some embodiments, the learning machine further comprises: the angle sensor is electrically connected with the processor and used for collecting the reflecting surface of the reflector and the included angle of the shooting direction of the camera.
In some embodiments, the learning machine further comprises: the display screen, the display screen install in the casing, the display screen with the treater electricity is connected, the display screen has the printing opacity region, the printing opacity region is used for giving with external light transmission the plane of reflection of speculum.
The utility model provides a learning machine through at the inside speculum that sets up of casing, sets up the plane of reflection of speculum and the contained angle of the shooting direction of camera into the acute angle, can realize pointing the function of reading conveniently under the condition that does not change the mounting means of camera like this, can realize pointing the function of reading under the prerequisite of the electric circuit stability of ensureing learning machine and whole reliability.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the following briefly introduces the drawings required for the embodiments or the prior art descriptions, and obviously, the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is one of the imaging principle schematic diagrams of the learning machine provided by the present invention;
fig. 2 is one of the schematic structural diagrams of the learning machine provided by the present invention;
fig. 3 is a second schematic structural diagram of the learning machine provided by the present invention;
fig. 4 is a second schematic diagram of the imaging principle of the learning machine provided by the present invention;
fig. 5 is a third schematic diagram of the imaging principle of the learning machine provided by the present invention.
Reference numerals:
10: a housing; 20: a camera; 30: a mirror; 31: a reflective surface; 40: a transparent cover plate; 50: a support; 51: mounting a foot; 60: a processor; 70: a medium to be collected; 80: and (4) supporting the base.
Detailed Description
To make the objects, technical solutions and advantages of the present invention clearer, the drawings in the present invention will be combined to clearly and completely describe the technical solutions of the present invention, and obviously, the described embodiments are some, but not all embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
In the description of the embodiments of the present invention, it should be noted that the terms "upper", "lower", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience of describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
The learning machine of the present invention is described below with reference to fig. 1 to 5.
As shown in fig. 1, 2 and 3, the utility model provides a learning machine, which comprises: a housing 10, a camera 20 and a mirror 30.
Wherein, the camera 20 is installed in the housing 10, and the shooting direction of the camera 20 is parallel to the thickness direction of the housing 10.
It can be understood that the housing 10 is a main frame of the learning machine, the housing 10 may be made of metal or non-metal material, various electronic components of the learning machine may be installed inside the housing 10 or outside the housing 10, the shooting direction of the camera 20 may be parallel to the thickness direction of the housing 10, the shooting direction of the camera 20 may be toward the front of the housing 10, and the camera 20 herein may be referred to as a front camera.
At present, a front camera of a learning machine is often used for shooting a picture of a face of a user, and is generally used for scenes such as self-shooting or face recognition, and the orientation of the front camera cannot be adjusted due to the fixed position of the front camera.
The reflector 30 is installed in the housing 10, the reflector 30 faces the camera 20, and an included angle between the reflecting surface 31 of the reflector 30 and the shooting direction of the camera 20 is an acute angle.
It can be understood that the learning machine of the present embodiment has the reflecting mirror 30, the reflecting mirror 30 has a reflecting surface 31 for reflecting light, the reflecting surface 31 can perform mirror reflection on incident light, the reflecting mirror 30 faces the lens of the camera 20, and an included angle between the reflecting surface 31 of the reflecting mirror 30 and the shooting direction of the camera 20 is an acute angle, for example, the shooting direction of the reflecting surface 31 of the reflecting mirror 30 and the shooting direction of the camera 20 can be 30 degrees to 60 degrees, for example, 45 degrees, by such an angle design, the reflecting mirror 30 can reflect light in a certain range of intervals to the lens of the camera 20.
Particularly, in the actual use scene, can place supporting seat 80 on the desktop, shelve the learning on supporting seat 80, through supporting seat 80 with the stable desktop that is fixed in of learning, books can be placed on the desktop, because the contained angle of plane of reflection 31 and the shooting direction of camera 20 is the acute angle, the plane of reflection 31 of speculum 30 can reflect the books to the reflex reflector of natural light to camera 20 department of learning for camera 20 can accurately shoot the content on the books.
Meanwhile, the user can also point to a certain position on the book by using a finger, the camera 20 can shoot the position pointed by the finger of the user under the action of the reflector 30, so that the position movement of the finger of the user can be recorded, the image pointed by the user is obtained by combining the content on the shot book, the learning machine can process the image pointed by the user, corresponding multimedia content is presented according to the image pointed by the user, for example, characters on the book pointed by the finger of the user can be converted into voice, and the voice is played through a loudspeaker.
It should be noted that, the camera 20 of the learning machine is usually fixedly embedded below the display screen of the learning machine, the relative position between the camera 20 and the housing 10 is fixed, when the finger reading function of the learning machine needs to be used, the front of the learning machine needs to face the user, so the relative position of the learning machine is limited, the camera 20 of the learning machine faces the user, at this time, the orientation of the camera 20 cannot be changed without changing the position of the learning machine, and the camera 20 cannot directly face the medium to be collected 70. In the embodiment, the reflecting mirror 30 is used for reflecting the light of the medium 70 to be collected to the camera 20, so that the shooting range of the camera 20 of the learning machine is expanded while the orientation of the camera 20 of the learning machine is not changed, and the finger reading function can be conveniently realized without changing the installation mode of the camera 20.
As shown in fig. 4 and 5, the reflector 30 forms an included angle with the camera 20, when the housing 10 is in a vertical upright state, the included angle formed by the reflector 30 and the length direction of the housing 10 is a degree, and when the learning machine is used, the learning machine can be fixed and placed through the supporting seat 80, the included angle formed by the length direction of the housing 10 and the vertical direction is b degree, and at this time, the included angle formed by the reflector 30 and the vertical direction is expanded to a + b degree, that is, the limit viewing angle before the reflector 30 can detect the housing 10 of the learning machine can be increased by b degree on the original basis.
The utility model provides a learning machine through at the inside speculum 30 that sets up of casing 10, sets up the contained angle of the plane of reflection 31 of speculum 30 and camera 20's shooting direction into the acute angle, can realize pointing the function of reading conveniently under the condition that does not change camera 20's mounting means like this, can realize pointing the function of reading under the prerequisite of the electric circuit stability and the whole reliability of ensureing learning machine.
As shown in fig. 1 and 3, in some embodiments, the learning machine further comprises: a transparent cover 40.
A transparent cover 40 is mounted to the housing 10, and the transparent cover 40 is used to transmit external light to the reflecting surface 31 of the reflecting mirror 30.
It can be understood that the transparent cover plate 40 can be made of glass, plastic, resin or silicone grease, the transparent cover plate 40 can transmit light, the transparent cover plate 40 can be installed on at least one part of the front surface of the casing 10, the reflecting surface 31 of the reflector 30 can receive external light through the transparent cover plate 40 and reflect the external light to the lens of the camera 20, and moreover, the transparent cover plate 40 can play a role in preventing water and dust for the learning machine while transmitting light.
Here, the camera may be directed toward the transparent cover 40 to view through the transparent cover 40, or may be directed not toward the transparent cover 40 but through another light-transmitting region to view.
As shown in fig. 3, in some embodiments, the learning machine further comprises: a bracket 50.
The reflecting mirror 30 is mounted on a bracket 50, and the bracket 50 is fixed to the housing 10.
It is understood that the bracket 50 may support the reflector 30, the reflector 30 may be mounted on the housing 10 through the bracket 50, and the bracket 50 and the housing 10 may be connected through a screw thread or an adhesive, or may be integrally formed.
As shown in fig. 2, in some embodiments, the bracket 50 includes at least two mounting feet 51, each mounting foot 51 is connected to the housing 10, the at least two mounting feet 51 are spaced apart, and the camera head 20 is disposed between the at least two mounting feet 51.
It can be understood that the bracket 50 may have two or more mounting feet 51, the mounting feet 51 may be spaced apart and uniformly disposed, the camera 20 may be disposed between two adjacent mounting feet 51, and a fixing manner of multiple mounting feet is adopted, so that the mounting of the reflector 30 is more stable, and the camera 20 is mounted between the mounting feet 51, which may save mounting space.
In some embodiments, the reflector 30 is rotatably mounted on the housing 10, and the angle between the reflecting surface 31 of the reflector 30 and the shooting direction of the camera 20 is adjustable.
It can be understood that the reflector 30 can rotate around a certain rotation axis, in the process of rotating the reflector 30, an included angle between the reflecting surface 31 of the reflector 30 and the shooting direction of the camera 20 can be adjusted, the rotation of the reflector 30 can be controlled manually or automatically, if the rotation is controlled manually, a part of the structure of the reflector 30 can be extended out from the side surface of the housing 10 to be used as a control knob, and then a user can control the rotation of the reflector 30 directly by rotating the control knob at the side surface of the housing 10, so as to control the change of the included angle between the reflecting surface 31 and the shooting direction of the camera 20.
As shown in fig. 1 and 3, in some embodiments, the learning machine further comprises: a processor 60.
The camera 20 is electrically connected to the processor 60.
It is understood that the processor 60 may be a logic processing center of a learning machine, where the camera 20 is electrically connected to the processor 60, and the processor 60 may process the image to be scanned acquired by the camera 20, perform text recognition and text translation, and output the recognition result and the translation result to an external device, or display the result through a display screen.
In some embodiments, the learning machine further comprises: a rotating mechanism and a power source.
Wherein, the rotating mechanism is connected with the reflector 30, the power source is electrically connected with the processor 60, and the power source is in power coupling connection with the rotating mechanism.
It is understood that the rotating mechanism may include a gear transmission mechanism, a belt transmission mechanism or a chain transmission mechanism, for example, a reduction gear may be used for transmission, where the reflecting mirror 30 is connected to the rotating mechanism, and the power source is connected to the rotating mechanism in a power coupling manner, the power source may provide power to the reflecting mirror 30 through the rotating mechanism to drive the reflecting mirror 30 to rotate, the processor 60 is electrically connected to the power source, and the processor 60 may send a control command to the power source to control the start and stop of the power source, so as to control the rotation of the reflecting mirror 30.
Wherein, the power source can include: a speed reducing motor, a stepping motor or a steering engine, wherein the type of the power source is not limited herein, and a person skilled in the art can use a conventional power source to provide power for the rotating mechanism.
In other words, the processor 60, the power source, and the rotation mechanism can automatically control the rotation of the mirror 30, and the mirror 30 can automatically rotate.
The processor 60 may control the rotation angle of the reflector 30 according to the input signal of the user, and may also control the rotation angle of the reflector 30 according to the quality of the image data captured by the camera 20 of the learning machine, so as to improve the quality of the image data by continuously adjusting the included angle between the reflecting surface 31 of the reflector 30 and the capturing direction of the camera 20.
In some embodiments, the camera 20 is electrically connected to the processor 60 by a board-to-board connector or a zero insertion force connector.
It is understood that Board-to-Board Connectors (BTBs) are a miniature coupling plug and socket that can directly connect power and signals between printed circuit boards through the pins of the connector. Zero Insertion Force (ZIF) connectors are a type of integrated circuit socket or electrical connector that require little Force to insert and remove.
In some embodiments, the learning machine further comprises: an angle sensor.
The angle sensor is electrically connected to the processor 60, and the angle sensor is used for acquiring an included angle between the reflecting surface 31 of the reflector 30 and the shooting direction of the camera 20.
It can be understood that, angle sensor can install in the connection position of speculum 30 and casing 10, angle sensor can detect the contained angle between the shooting direction of reflecting surface 31 and camera 20, angle sensor can send this contained angle for treater 60, treater 60 can handle this contained angle, for example can export the numerical value of contained angle to the display screen, also can be according to the numerical value of this contained angle and the comparative result of target angle value, adjust the contained angle of the shooting direction of reflecting surface 31 of speculum 30 and camera 20, in order to reach the target angle value.
In some embodiments, the learning machine further comprises: a display screen.
A display screen is mounted to the housing 10 and is electrically connected to the processor 60, the display screen having a light-transmitting area for transmitting external light to the reflecting surface 31 of the reflecting mirror 30.
It can be understood, the display screen can be the LCD screen, LED screen or OLED screen, display screen and treater 60 electricity are connected, treater 60 can be with treating that display information sends for the display screen, it shows to treat display information for the display screen, some of display screen can be the light transmission area, light transmission area can see through light, light transmission area can possess the display function simultaneously, also can not possess the display function, outside light can see through the plane of reflection 31 that light transmission area shines speculum 30, speculum 30 can reflect outside light to camera 20's camera lens, supply camera 20 to gather.
Here, the camera may view through the light-transmitting area of the display screen toward the light-transmitting area of the display screen, or may view through another light-transmitting area without facing the light-transmitting area of the display screen.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention in its corresponding aspects.

Claims (10)

1. A learning machine, comprising:
a housing;
the camera is arranged in the shell, and the shooting direction of the camera is parallel to the thickness direction of the shell;
the speculum, the speculum install in the casing, the speculum orientation the camera, just the plane of reflection of speculum with the contained angle of the shooting direction of camera is the acute angle.
2. The learning machine of claim 1, further comprising:
the transparent cover plate is arranged on the shell and used for transmitting external light to the reflecting surface of the reflector.
3. The learning machine of claim 1, further comprising:
the reflector is installed on the support, and the support is fixed on the shell.
4. The learning machine of claim 3, wherein the support includes at least two mounting feet, each of the mounting feet is connected to the housing, at least two of the mounting feet are spaced apart, and the camera is disposed between at least two of the mounting feet.
5. The learning machine as claimed in any one of claims 1 to 4, wherein the reflector is rotatably mounted on the housing, and an angle between a reflecting surface of the reflector and a shooting direction of the camera is adjustable.
6. The learning machine according to any one of claims 1 to 4, further comprising:
and the camera is electrically connected with the processor.
7. The learning machine of claim 6, further comprising:
a rotating mechanism connected with the mirror;
and the power source is electrically connected with the processor and is in power coupling connection with the rotating mechanism.
8. The learning machine of claim 6, wherein the camera is electrically connected to the processor through a board-to-board connector or a zero insertion force connector.
9. The learning machine of claim 6, further comprising:
the angle sensor is electrically connected with the processor and used for collecting the reflecting surface of the reflector and the included angle of the shooting direction of the camera.
10. The learning machine of claim 6, further comprising:
the display screen, the display screen install in the casing, the display screen with the treater electricity is connected, the display screen has the printing opacity region, the printing opacity region is used for giving with external light transmission the plane of reflection of speculum.
CN202221681591.XU 2022-06-30 2022-06-30 Learning machine Active CN218332897U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202221681591.XU CN218332897U (en) 2022-06-30 2022-06-30 Learning machine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202221681591.XU CN218332897U (en) 2022-06-30 2022-06-30 Learning machine

Publications (1)

Publication Number Publication Date
CN218332897U true CN218332897U (en) 2023-01-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202221681591.XU Active CN218332897U (en) 2022-06-30 2022-06-30 Learning machine

Country Status (1)

Country Link
CN (1) CN218332897U (en)

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