Learning machine and camera module alignment equipment

Abstract

The utility model discloses a learning machine and camera module alignment equipment. The learning machine comprises a learning machine main body; the camera module is mounted on the learning machine main body; the camera module comprises an image sensor and a lens, and an extension line of an image plane of the image sensor, an extension line of a lens plane of the lens and an extension line of an object plane at the bottom of the learning machine body intersect on a straight line. Wherein the camera module is arranged in a manner that extension lines of an image plane, a lens plane and an object plane intersect in a straight line, and according to the Gremer's law, a comprehensive and clear image can be obtained through the arrangement, and the problem that the peripheral definition of an existing learning machine for shooting and imaging is poor is effectively solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of camera equipment, in particular to a learning machine and a camera module alignment device. BACKGROUND

[0002] With the increasing use of cameras, learning machines of all categories have cameras. The cameras in learning machines are mainly used for text recognition, fingertip reading and homework correction. The image plane of the camera is parallel to the lens plane. Since the object plane is generally a horizontal desktop, the camera is generally inclined towards the desktop. This design results in poor clarity around the camera image. CONTENT OF THE UTILITY MODEL

[0003] The purpose of the embodiment of the present application is to provide a learning machine and a camera module alignment device, which can solve the above-mentioned problems existing in the prior art.

[0004] To achieve the above purpose, the present application adopts the following technical solutions:

[0005] On the one hand, a learning machine is provided, comprising:

[0006] a learning machine main body;

[0007] a camera module installed on the learning machine main body; the camera module comprises an image sensor and a lens, and the extension line of the image plane of the image sensor, the extension line of the lens plane of the lens and the extension line of the object plane at the bottom of the learning machine main body intersect at a straight line.

[0008] Optionally, the included angle between the image plane and the lens plane is ∠C = arcsin((H + BFL) / L2) - arcsin(H / L1), wherein H is the vertical height of the lens relative to the object plane; BFL is the mechanical back focal length of the lens; the extension lines of the lens plane, the object plane and the image plane are compared with the straight line O, L1 is the distance between the lens and the straight line O, and L2 is the distance between the image sensor and the straight line O.

[0009] Optionally, the learning machine main body comprises a host computer and a support, the support supports the host computer, and the object plane is flush with the bottom surface of the support.

[0010] Optionally, the support is provided with an inclined support table, the host computer is supported by the support table, and the screen of the host computer is inclined relative to the object plane.

[0011] Optionally, the camera module is installed at the top of the learning machine main body and is arranged towards the object plane.

[0012] In another aspect, a camera module alignment device is provided for aligning the camera module in the learning machine, comprising:

[0013] A test chart;

[0014] A lens holder for clamping the lens;

[0015] A sensor holder for clamping the image sensor, and the clamping plane of the sensor holder has a certain angle with the clamping plane of the lens holder;

[0016] An image processing unit for processing and analyzing the image captured by the image sensor.

[0017] Optionally, an adjustment mechanism is further included, which is connected with the lens holder or the sensor holder, and is used for adjusting the relative position and angle between the sensor holder and the lens holder.

[0018] Optionally, a relay lens is further included, which is arranged between the test chart and the lens holder.

[0019] Optionally, the angle between the clamping plane of the sensor holder and the clamping plane of the lens holder is ∠M = ∠C = arcsin((H + BFL) / L2) - arcsin(H / L1), wherein H is the vertical height of the lens relative to the object plane; BFL is the mechanical back focal length of the lens; the extension lines of the lens plane, the object plane and the image plane are compared with the straight line O, L1 is the distance between the lens and the straight line O, and L2 is the distance between the image sensor and the straight line O.

[0020] The learning machine provided by the present application has the following beneficial effects: the camera module in the learning machine is arranged such that the extension lines of the image plane, the lens plane and the object plane intersect at a straight line, and according to the Schlieren law, such arrangement can obtain a comprehensive and clear image, and effectively overcomes the problem of poor clarity around the image captured by the existing learning machine.

[0021] The learning machine provided by the present application has the following beneficial effects: the camera module in the learning machine is arranged such that the extension lines of the image plane, the lens plane and the object plane intersect at a straight line, and according to the Schlieren law, such arrangement can obtain a comprehensive and clear image, and effectively overcomes the problem of poor clarity around the image captured by the existing learning machine. BRIEF DESCRIPTION OF DRAWINGS

[0022] The present application will be further described in detail below according to the drawings and embodiments.

[0023] Figure 1 Reference diagram for the use state of the learning machine described in the embodiments of the present application;

[0024] Figure 2 Schematic diagram of the angle between the image plane and the lens plane described in the embodiments of the present application;

[0025] Figure 3 Structural schematic diagram of the camera module alignment device described in the embodiments of the present application.

[0026] In the figure:

[0027] 1, learning machine main body; 11, main machine; 12, support; 2, camera module; 21, lens; 22, image sensor; 3, test diagram; 4, relay lens; 5, lens support; 6, sensor support; 7, image processing unit. DETAILED DESCRIPTION

[0028] In order to make the technical problems solved by the present application, the technical solutions adopted and the technical effects achieved more clear, the technical solutions of the embodiments of the present application are described in further detail below. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0029] In the description of the present application, unless otherwise explicitly specified and limited, the terms "connected", "connected", "fixed" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For ordinary skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0030] In the present application, unless otherwise explicitly specified and limited, the first feature "on" or "under" the second feature can include that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, the first feature "on", "above" and "above" the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature "under", "below" and "below" the second feature includes that the first feature is directly below and obliquely below the second feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.

[0031] With the increasing use of camera, learning machine products are all equipped with camera, and the camera in learning machine products is mainly used for text recognition, fingertip reading and homework correction. Currently, the camera used in learning machine products has an image plane and a lens plane which are parallel to each other. Since the object plane is generally a horizontal desktop, the camera is generally inclined to face the desktop, which leads to the problem of poor clarity around the image formed by the camera.

[0032] In order to overcome the above technical problems, with reference to Figure 1 The embodiment provides a learning machine, which comprises a learning machine body 1 and a camera module 2, the camera module 2 is installed on the learning machine body 1; the camera module 2 comprises an image sensor 22 and a lens 21, and the extension line of the image plane of the image sensor 22, the extension line of the lens plane of the lens 21 and the extension line of the object plane at the bottom of the learning machine body 1 intersect a straight line.

[0033] The camera module 2 can be integrally arranged in the learning machine body 1 or can be detachably arranged on the learning machine body 1 in a form of external hanging.

[0034] The embodiment improves the camera module 2 according to the Scheimpflug principle to solve the problem of poor clarity around the image, and specifically, the Scheimpflug principle indicates that when the extension lines of the object plane (i.e. the object plane), the lens plane and the image plane intersect a straight line, a comprehensive clear image can be shot.

[0035] The learning machine of the embodiment is generally used on a desktop, and learning materials located in front of the learning machine are also placed on the desktop. The camera module 2 on the learning machine can be used for scanning and shooting the learning materials, and the plane where the learning materials are located is the image plane. In the camera module 2, the image sensor 22 and the lens 21 are generally fixed relative to each other, so when the product is designed, the positions of the image sensor 22 and the lens 21 need to be designed according to the position of the image plane in the conventional use state.

[0036] Based on the learning machine provided in the embodiment, the extension lines of the image plane, the lens plane and the object plane of the camera module 2 intersect a straight line, and according to the Scheimpflug principle, a comprehensive clear image can be obtained by such arrangement, and the problem of poor clarity around the image shot by the existing learning machine is effectively overcome.

[0037] In an embodiment, with reference to Figure 2, the included angle between the image plane and the lens 21 plane is ∠C = arc sin((H + BFL) / L2) - arc sin(H / L1), wherein H is the vertical height of the lens 21 relative to the object plane; BFL is the mechanical back focal length of the lens 21; the extension line of the lens 21 plane, the object plane and the image plane is compared with the straight line O, L1 is the distance between the lens 21 and the straight line O, and L2 is the distance between the image sensor 22 and the straight line O.

[0038] Specifically, referring to Figure 2 In the designed normal use state, the included angle between the lens 21 plane and the object plane is ∠A, the included angle between the image plane and the object plane is ∠B, and the included angle between the lens 21 plane and the object plane is ∠C. In the theoretical design stage, ∠C = ∠B - ∠A, and in the design stage, the relative position and angle between the camera module 2 and the object plane can be determined, so the vertical height H of the lens 21 relative to the object plane, the mechanical back focal length BFL of the lens 21, and the distance L1 between the lens 21 and the straight line O, and the distance L2 between the image sensor 22 and the straight line O can be determined. Therefore, it can be concluded that ∠C = ∠B - ∠A = arc sin((H + BFL) / L2) - arc sin(H / L1).

[0039] In this embodiment, the included angle ∠C between the image plane and the lens 21 plane is provided, which is equivalent to providing the included angle between the lens 21 and the image sensor 22. This makes it possible to quickly and accurately position the lens 21 and the image sensor 22 according to the included angle ∠C during the production stage of the camera module 2, which can greatly simplify the production process, reduce the debugging time, thereby improving the production efficiency and reducing the production cost.

[0040] In an embodiment, the learning machine main body 1 includes a host 11 and a support 12, the support 12 supports the host 11, and the object plane is flush with the bottom surface of the support 12.

[0041] The design of the support 12 enables the host 11 to be stably placed on the desktop, reducing the imaging quality problems caused by the shaking or tilting of the host 11. At the same time, the object plane is flush with the bottom surface of the support 12, ensuring the stability of the relative position between the photographed object (such as learning materials) and the camera, and further improving the stability of the shooting.

[0042] When using the learning machine, the user can conveniently place the learning materials on the object plane (generally the desktop) at the bottom of the support 12, without the need for additional adjustment of the position or angle of the materials. This design simplifies the operation steps and improves the use efficiency.

[0043] Optionally, the shell of the host 11 and the support 12 can be an integral structure or a split structure. When the split structure, the user can separate the host 11 and the support 12 at will, which is beneficial to improve the convenience of use and facilitate the packaging of the product.

[0044] In an embodiment, the support 12 is provided with an inclined support table, and the host 11 is supported by the support table, so that the screen of the host 11 is inclined relative to the object plane.

[0045] The host 11 can be placed in an inclined manner, that is, the screen can be inclined to face the user, which can greatly improve the viewing angle of the user. Whether sitting or standing to use the learning machine, the user can more comfortably watch the screen content, reducing the fatigue of the neck and eyes.

[0046] In an embodiment, the camera module 2 is installed on the top of the learning machine body 1 and is arranged towards the object plane.

[0047] On the other hand, the embodiment also provides a camera module 2 alignment device for aligning the camera module 2 in the learning machine, which comprises:

[0048] Test Figure 3 ;

[0049] The lens holder 5 is used for clamping the lens 21.

[0050] The sensor holder 6 is used for clamping the image sensor 22, and the clamping plane of the sensor holder 6 and the clamping plane of the lens holder 5 have a certain angle.

[0051] The image processing unit 7 is used for processing and analyzing the image captured by the image sensor 22.

[0052] The lens holder 5 is a part of the camera module 2 for fixing the lens 21, which ensures that the lens 21 can work stably after installation. The sensor holder 6 is used for clamping the image sensor 22, which ensures that the image sensor 22 can work stably after installation. The initial relative angle between the lens holder 5 and the sensor holder 6 is determined by the angle between the designed lens 21 plane and the image plane, and the relative position between the lens holder 5 and the sensor holder 6 can be adjusted during the alignment process to meet the purpose of adjusting and aligning them. Therefore, at least one of the lens holder 5 and the sensor holder 6 has the adjustability of the position.

[0053] The image processing unit 7 is used to connect the image sensor 22 clamped on the sensor holder 6, and after obtaining the image, the image is analyzed, the adjustment direction and adjustment amount of the relative position between the lens holder 5 and the sensor holder 6 are judged by analyzing the clarity of the image, and then the adjustment is gradually adjusted and analyzed, and finally the lens 21 and the image sensor 22 to be aligned are adjusted to the most appropriate relative position.

[0054] The camera module 2 alignment device based on the embodiment is specially applicable to the alignment of the camera module 2 in the production stage of the learning machine in the embodiment, wherein the clamping plane of the sensor holder 6 and the clamping plane of the lens holder 5 are at a certain angle, so that the lens plane of the lens 21 and the image plane of the image sensor 22 after clamping can be compared with the extension line of the image plane of the test Figure 3 , which meets the specific alignment requirements of the camera module 2 of the present scheme.

[0055] In an embodiment, an adjustment mechanism is further included, which is connected with the lens holder 5 or the sensor holder 6, and is used to adjust the relative position and angle between the sensor holder 6 and the lens holder 5.

[0056] The main function of the adjustment mechanism is to adjust the relative position and angle between the sensor holder 6 and the lens holder 5, and by accurately adjusting the two key components, it can be ensured that the lens 21 and the image sensor 22 in the camera module 2 can work in the best alignment relationship. The adjustment mechanism can be connected with one or both of the lens holder 5 or the sensor holder 6.

[0057] In an embodiment, the adjustment mechanism is interconnected and controlled with the image processing unit 7, that is, the system can judge the direction and adjustment amount required by the adjustment mechanism according to the analysis structure of the image processing unit 7, so as to send corresponding control instructions to the adjustment mechanism to realize the function of automatic adjustment and alignment.

[0058] In an embodiment, a relay lens 4 is further included, which is arranged between the test Figure 3 and the lens holder 5.

[0059] The relay lens 4 is mainly used to adjust the optical path between the test Figure 3 and the lens holder 5 in the camera module 2 test system. Through the relay lens 4, the image on the test Figure 3 can be projected in front of the lens 21 on the lens holder 5 with appropriate size and angle, so as to simulate the object in the actual shooting scene, which is beneficial to shorten the distance between the test Figure 3 and the lens 21, and further realize the compactness of the entire alignment device and reduce the volume of the alignment device.

[0060] In an embodiment, the included angle between the clamping plane of the sensor holder 6 and the clamping plane of the lens holder 5 is ∠M = ∠C = arcsin((H + BFL) / L2) - arcsin(H / L1), wherein H is the vertical height of the lens 21 relative to the object plane; BFL is the mechanical back focal length of the lens 21; the extension lines of the lens 21 plane, the object plane and the image plane are compared with the straight line O, L1 is the distance between the lens 21 and the straight line O, and L2 is the distance between the image sensor 22 and the straight line O.

[0061] Similarly, the included angle between the clamping plane of the sensor holder 6 and the clamping plane of the lens holder 5 is accurately calculated and determined, and this calculation ensures that the lens 21 and the image sensor 22 in the camera module 2 can work in the best alignment relationship. During the device debugging stage, the staff can quickly debug the sensor holder 6 and the lens holder 5 according to the design parameters of the camera module 2, which is obviously conducive to reducing the debugging difficulty of the device and improving the debugging efficiency.

[0062] In the description herein, it should be understood that the terms "upper", "lower", "left", "right", and the like orientation or position relationship are only for the convenience of description and simplification of operation, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second" are only used to distinguish in the description, and have no special meaning.

[0063] In the description of the present specification, the description referring to the terms "an embodiment", "an example" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example.

[0064] In addition, it should be understood that although the present specification is described in terms of embodiments, each embodiment does not necessarily contain only one independent technical solution, and the description of the specification is only for the sake of clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that those skilled in the art can understand.

[0065] The technical principles of the present application are described above in conjunction with specific embodiments. These descriptions are only for the purpose of explaining the principles of the present application, and cannot be interpreted in any way as a limitation on the scope of protection of the present application. Based on the explanation here, those skilled in the art do not need to make creative efforts to think of other specific embodiments of the present application, and these embodiments will fall within the scope of protection of the present application.

Claims

1. A learning machine characterized by comprising: The learning machine comprises: a learning machine body; a camera module mounted on the learning machine body, the camera module comprising an image sensor and a lens, the extension line of the image plane of the image sensor, the extension line of the lens plane of the lens and the extension line of the object plane of the bottom of the learning machine body intersecting a straight line.

2. The learning machine according to claim 1, characterized in that, The angle between the image plane and the lens plane is ∠C=arc sin((H+BFL) / L2)-arc sin(H / L1), wherein H is the vertical height of the lens relative to the object plane, BFL is the mechanical back focal length of the lens, the extension lines of the lens plane, the object plane and the image plane are compared with the straight line O, L1 is the distance between the lens and the straight line O, and L2 is the distance between the image sensor and the straight line O.

3. The learning machine according to claim 1, characterized in that, The learning machine body comprises a host computer and a support, the support supporting the host computer, and the object plane is flush with the bottom surface of the support.

4. The learning machine according to claim 3, characterized in that The support is provided with an inclined support table, and the host computer is supported by the support table, so that the screen of the host computer is inclined relative to the object plane.

5. The learning machine according to claim 1, wherein The camera module is mounted on the top of the learning machine body and is arranged towards the object plane.

6. A camera module alignment apparatus, comprising: A camera module for alignment in a learning machine as claimed in any one of claims 1-5, comprising: a test chart; a lens holder for clamping a lens; a sensor holder for clamping an image sensor, and the clamping plane of the sensor holder and the clamping plane of the lens holder have a certain angle; an image processing unit for processing and analyzing the image captured by the image sensor.

7. The camera module alignment apparatus of claim 6, wherein, Further comprising an adjustment mechanism connected with the lens holder or the sensor holder, the adjustment mechanism being used for adjusting the relative position and angle between the sensor holder and the lens holder.

8. The camera module alignment apparatus of claim 6, wherein, Further comprising a relay lens arranged between the test chart and the lens holder.

9. The camera module alignment apparatus of claim 6, wherein, The angle between the clamping plane of the sensor holder and the clamping plane of the lens holder is ∠M=∠C=arc sin((H+BFL) / L2)-arc sin(H / L1), wherein H is the vertical height of the lens relative to the object plane, BFL is the mechanical back focal length of the lens, the extension lines of the lens plane, the object plane and the image plane are compared with the straight line O, L1 is the distance between the lens and the straight line O, and L2 is the distance between the image sensor and the straight line O.

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