A wireless practical training classroom live teaching system

Abstract

The application relates to the technical field of internet live teaching platform, in particular to a wireless practical training classroom live teaching system, which comprises a recording module, a marking module, a collecting module, an adjusting module, a detecting module, a display module and a central control module. The central control module determines whether the practical training video meets the recording standard according to the number of practical operation characteristics meeting the preset standard in the video information, and adjusts the recording point of each recording device to a corresponding value according to the determination result before the recording device records the practical training process, or controls the detecting module to detect the brightness of the practical training video and adjusts the recording brightness of each recording device or the cleanliness of each recording device to a corresponding value according to the brightness of the practical training video before the recording device records the practical training process. The application improves the quality of the practical training teaching video and the teaching efficiency.

Description

Technical Field

[0001] This invention relates to the field of teaching platform technology for internet live streaming, and more particularly to a wireless live streaming teaching system for practical training classrooms. Background Technology

[0002] In developed regions of my country, schools possess relatively complete and advanced experimental equipment, with several teachers per class and a high level of teaching expertise. However, remote areas suffer from a lack of resources and limited practical training conditions. Furthermore, teachers often find themselves overlooking many details during their own practical demonstrations, resulting in poor learning outcomes. Or, due to limited space at the workbench, only a few students near the teacher can see the actual operation, severely impacting teaching quality. Current technologies offer a variety of live streaming platforms, including classroom live streaming, live room live streaming, recorded live room streaming, practical training live streaming, and enterprise practice live streaming, enriching the teaching platform and expanding its scope. However, the lack of analysis of recorded practical training videos leads to low video quality and low teaching efficiency.

[0003] Chinese Patent Application No. CN201811252663.7 discloses an internet-based live-streaming teaching platform. This invention discloses an internet-based live-streaming teaching platform, including an application platform, a cloud infrastructure platform, a data storage platform, a live-streaming teaching system, and a mobile terminal. The live-streaming teaching system includes a classroom live-streaming module, a live-streaming room module, a live-streaming room recording module, a practical training live-streaming module, and a business practice live-streaming module. In the classroom live-streaming module, teachers use a live-streaming device or camera to broadcast the entire class activities and discussions live. In the live-streaming room module, teachers use the internet to display courseware, animations, and videos to students. In the live-streaming room recording module, teachers pre-record teaching resources. This invention, through the coexistence of multiple live-streaming methods—classroom live-streaming, live-streaming room, live-streaming room recording, practical training live-streaming, and business practice live-streaming—makes the live-streaming teaching platform more diverse and expands the scope of teaching. However, this internet-based live-streaming teaching platform has the following problems: the lack of analysis of recorded practical training videos leads to low video quality and low teaching efficiency. Summary of the Invention

[0004] To address this issue, the present invention provides a wireless live-streaming teaching system for practical training classrooms, which overcomes the problems of low-quality practical training videos and low teaching efficiency caused by the lack of analysis of recorded practical training videos in existing technologies.

[0005] To achieve the above objectives, the present invention provides a wireless live-streaming teaching system for practical training classrooms, comprising:

[0006] The recording module includes several recording devices capable of recording the training process from different angles to generate training videos containing video information of several time intervals for the training process;

[0007] A marking module, which is connected to the recording module, is used to receive the training video output by the recording module and mark the corresponding practical features in each time interval of the training video;

[0008] The acquisition module is connected to the marking module and is used to acquire feature information of the practical features marked by the marking module in the training video;

[0009] An adjustment module, connected to the recording module, is used to adjust the recording parameters of each recording device to corresponding values. The recording parameters include the recording point of each recording device, the brightness of the acquired image, and the sharpness.

[0010] A detection module, which is connected to the recording module, is used to detect the clarity and brightness of the training video output by the recording module;

[0011] The central control module is connected to the recording module, the marking module, the acquisition module, the adjustment module, and the detection module. It is used to initially determine whether the training video meets the recording standard based on the number of practical features in the video information that meet the preset standard. When the central control module determines that the training video does not meet the recording standard, it controls the recording module to regenerate the video information and adjusts the recording points of each recording device to the corresponding value according to the determination result before each recording device records the training process. Alternatively, before each recording device records the training process, it controls the detection module to detect the brightness of the training video and determines whether to adjust the recording brightness or the cleanliness of each recording device to the corresponding value based on the brightness of the training video.

[0012] The display module is used to output information on whether the training video meets the recording standards.

[0013] Furthermore, under a first preset condition, the central control module counts the number of practical features in the training video collected by the acquisition module that meet preset standards, and records the ratio of this number to the total number of practical features in the training video as a first-level ratio. The central control module determines whether the training video meets the input standards based on the first-level ratio, wherein:

[0014] The first determination method is that the central control module determines that the training video meets the recording standard, the central control module controls the acquisition module to sequentially acquire the feature area of ​​the practical feature in each time interval, and determines whether the video information in the time interval meets the standard based on the feature area; the first determination method satisfies that the first-level ratio is greater than or equal to the first preset first-level ratio.

[0015] The second determination method is that the central control module determines that the training video does not meet the recording standard and the reason for not meeting the recording standard is that there are several time intervals in the video information, and the recording parameters of the corresponding recording devices for each time interval do not meet the standard. The central control module controls the acquisition module to sequentially acquire the contours of the practical features that do not meet the preset standard in the corresponding video information and determine the recording parameters of each recording device in the corresponding time interval in the next recording training process based on the contours. The second determination method satisfies that the first-level ratio is less than the first preset first-level ratio and greater than or equal to the second preset first-level ratio.

[0016] The third determination method is that the central control module determines that the training video does not meet the input standard and the reason for not meeting the input standard is that the overall picture of the video information does not meet the preset standard. The central control module controls the detection module to detect the brightness of the training video and determines whether the training video meets the cleanliness standard based on the detection result. The third determination method satisfies that the first-level ratio is less than the second preset first-level ratio.

[0017] The first preset condition is that the acquisition module completes the acquisition of feature information of the practical features marked by the marking module in the training video.

[0018] Further, under the first determination method, the central control module sequentially collects the feature area of ​​the practical feature within each time interval. For a single time interval, the central control module records the average area of ​​the corresponding practical feature within that time interval as the feature area for that time interval and records the ratio of this feature area to the area of ​​the video information frame in that time interval as the secondary ratio for that time interval. The central control module determines whether the video information frame in that time interval conforms to the standard frame determination method based on the secondary ratio, wherein:

[0019] The first image determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the adjustment module to adjust the focal length of the device for the next training video recording to the corresponding value according to the secondary ratio; the first image determination method satisfies that the secondary ratio is less than or equal to the first preset secondary ratio.

[0020] The second screen determination method is as follows: the central control module determines that the video information in the time interval meets the standard, sends an instruction that meets the recording standard to the display module, and determines whether the video information in the next time interval meets the standard; the second screen determination method satisfies that the second-level ratio is greater than the first preset second-level ratio and less than or equal to the second preset second-level ratio.

[0021] The third screen determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the detection module to detect the clarity of the training video. The central control module determines whether the training video meets the noise reduction processing standard based on the detection result. The third screen determination method satisfies that the secondary ratio is greater than the second preset secondary ratio.

[0022] Further, the central control module calculates the difference between the first preset secondary ratio and the secondary ratio under the first image determination method, and records this difference as the primary difference. Based on the primary difference, the central control module determines the focus adjustment method for the recording device in the corresponding time interval during the next recording, wherein:

[0023] The first focal length adjustment method is that the central control module selects a first focal length adjustment coefficient α1 to adjust the recording focal length Q, and sets the adjusted recording focal length Q' = α1 × Q; the first focal length adjustment method satisfies that the first-level difference is less than or equal to the preset first-level difference.

[0024] The second focal length adjustment method is that the central control module selects the second focal length adjustment coefficient α2 to adjust the recording focal length Q, and sets the adjusted recording focal length Q' = α2 × Q; the second focal length adjustment method satisfies that the first-level difference is greater than the preset first-level difference.

[0025] Furthermore, under the third screen determination method, the central control module controls the detection module to detect the clarity of the training video, and determines whether the training video meets the noise reduction processing standard based on the detection result, wherein:

[0026] The first clarity determination method is that the central control module determines that the training video does not meet the noise reduction processing standard, and sends an instruction to the display module that meets the input standard; the first clarity determination method satisfies that the clarity is greater than or equal to the preset clarity.

[0027] The second clarity determination method is that the central control module determines whether the training video meets the noise reduction processing standard, and controls the adjustment module to perform noise reduction processing on the training video; the second clarity determination method satisfies that the clarity is less than the preset clarity.

[0028] Furthermore, under the second preset condition, the central control module controls the acquisition module to acquire the outlines in each view of the training video within a preset time period, and determines the practical features in the training video based on the acquired outlines. The central control module compares the practical features in each view with the preset practical features, determines the similarity of the practical features of each view based on the comparison results, and records the view with the highest similarity as the view to be adjusted.

[0029] The second preset condition is that the central control module determines the direction and angle of the device for the next training video recording based on the collected contour.

[0030] Furthermore, the central control module controls the adjustment module to adjust the orientation of the device corresponding to the view to be adjusted to the corresponding position for the next training video recording, based on the location of the preset practical feature in the view to be adjusted. It also calculates the difference between the similarity of the view to be adjusted and the preset similarity, recording this difference as a secondary difference. The central control module determines the angle adjustment method for the adjusted device based on the secondary difference, wherein:

[0031] The first angle adjustment method is that the central control module selects a first angle adjustment coefficient β1 to adjust the angle W of the device to the corresponding value, and sets the adjusted angle W' = β1 × W; the first angle adjustment method satisfies that the two differences are greater than or equal to the preset second-level difference;

[0032] The second angle adjustment method involves the central control module selecting a second angle adjustment coefficient β2 to adjust the angle W of the device to the corresponding value, and setting the adjusted angle W' = β2 × W; the second angle adjustment method satisfies the condition that the second difference is less than the preset second-level difference.

[0033] When the central control module completes the adjustment of the device angle, it controls the recording module to re-record the training video.

[0034] Furthermore, under a third preset condition, the central control module records the ratio of the number of practical features meeting preset standards to the total number of practical features in the new training video as a three-level ratio, and determines whether the angle adjustment is qualified based on the three-level ratio, wherein:

[0035] The first qualification determination method is that the central control module determines that the angle adjustment is qualified, and controls the acquisition module to acquire the feature area of ​​the preset practical feature. The central control module determines whether the picture of the training video meets the standard based on the feature area. The first qualification determination method satisfies that the three-level ratio is greater than or equal to the preset three-level ratio.

[0036] The second pass / fail determination method is that the central control module determines that the angle adjustment is unqualified, and controls the detection module to detect the clarity of the training video. The central control module determines whether the clarity of the training video meets the standard based on the detection result. The second pass / fail determination method satisfies that the three-level ratio is less than the preset three-level ratio.

[0037] The third preset condition is to complete the re-recording of the training video.

[0038] Furthermore, under the fourth preset condition, the central control module controls the detection module to detect the brightness of the training video, and determines whether the training video meets the cleaning standard's cleaning judgment method based on the detection result, wherein:

[0039] The first cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the acquisition module to acquire the outline of the screen within a preset time period of the training video. The central control module adjusts the direction and angle of the device for the next training video recording according to the acquired outline. The first brightness adjustment method ensures that the brightness of the training video is within a preset brightness range.

[0040] The second cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the adjustment module to adjust the brightness of the device to the corresponding value for the next training video recording process; the second brightness determination method satisfies that the brightness of the training video is higher than the maximum value of the preset brightness range;

[0041] The third cleaning determination method is that the central control module determines that the training video meets the cleaning standard, and controls the adjustment module to adjust the cleanliness of the equipment for the next training video recording process; the third brightness determination method is that the brightness of the training video is lower than the maximum value of the preset brightness range;

[0042] The fourth preset condition is that the central control module determines whether the training video meets the cleaning standards.

[0043] Furthermore, under the second cleaning determination method, the central control module records the difference between the brightness of the training video and the maximum value of the preset brightness range as a three-level difference, and adjusts the brightness adjustment method of the device for the next training video recording process according to the three-level difference determination, wherein:

[0044] The first brightness adjustment method is that the central control module selects a first brightness adjustment coefficient γ1 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L' = γ1 × L; the first brightness adjustment method satisfies that the three-level difference is less than or equal to the preset three-level difference.

[0045] The second brightness adjustment method is that the central control module selects the second brightness adjustment coefficient γ2 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L' = γ2 × L; the second brightness adjustment method satisfies that the three-level difference is greater than the preset three-level difference.

[0046] When the central control module finishes adjusting the brightness of the device, it controls the recording module to re-record the training video.

[0047] Compared with the prior art, the beneficial effects of the present invention are that the present invention preliminarily determines whether the practical video meets the recording standard based on the number of practical features in the video information that meet the preset standard, thereby improving the control accuracy of the quality of the practical training video. When it is determined that the practical training video does not meet the recording standard, the present invention controls the recording module to regenerate the video information and adjusts the recording points of each recording device to the corresponding value according to the determination result before each recording device records the practical training process, thereby improving the quality of the practical training video. The present invention improves the teaching efficiency while improving the quality of practical training videos.

[0048] Furthermore, the present invention determines whether a training video meets the recording standard based on the number of practical features that meet the preset standard in the training video collected by the acquisition module. When it is determined that the training video does not meet the recording standard, the invention controls the acquisition module to sequentially collect the contours of the practical features that do not meet the preset standard in the corresponding video information and determines the recording parameters of each recording device in the corresponding time interval during the next recording of the training process based on the contours. This improves the control accuracy of the recording parameters of the recording devices. Alternatively, the invention controls the detection module to detect the brightness of the training video and determines whether the training video meets the cleanliness standard based on the detection results. This further improves the control accuracy of the quality of the training video and improves the recording efficiency of the training video while ensuring its quality.

[0049] Furthermore, the present invention determines whether the video information in the time interval meets the standard based on the average area of ​​the corresponding practical features within the time interval, and controls the adjustment module to adjust the focal length of the device for the next training video recording to the corresponding value when the video information in the time interval does not meet the standard, thereby improving the control accuracy of the training video image. Alternatively, the invention controls the detection module to detect the clarity of the training video and determines whether the training video meets the noise reduction processing standard based on the detection result, thereby improving the control accuracy of the clarity of the training video and further improving the quality of the training video.

[0050] Furthermore, in this invention, the central control module controls the detection module to detect the clarity of the training video and determines whether the training video meets the noise reduction processing standard based on the detection results. This improves the clarity of the training video and further enhances its quality. While ensuring video quality, it also improves the recording efficiency of the training video.

[0051] Furthermore, in this invention, the central control module determines the view to be adjusted based on the similarity between the practical features in each view and the preset practical features, thereby improving the control accuracy of the device to be adjusted and further improving the recording efficiency of practical training videos.

[0052] Furthermore, the central control module in this invention selects the corresponding angle adjustment coefficient based on the difference between the similarity of the view to be adjusted and the preset similarity to adjust the angle of the device to the corresponding value, thereby improving the control accuracy of the device angle and further improving the quality of the practical training video. While ensuring the quality of the practical training video, it also further improves the recording efficiency of the practical training video.

[0053] Furthermore, in this invention, the central control module determines whether the angle of the device is qualified based on the number of practical features that meet the preset standards. When the angle adjustment is determined to be unqualified, the central control module controls the detection module to detect the clarity of the training video. The central control module determines whether the clarity of the training video meets the standard based on the detection result. Alternatively, when the angle adjustment is determined to be qualified, the central control module controls the acquisition module to acquire the feature area of ​​the preset practical features. The central control module determines whether the image of the training video meets the standard based on the feature area. This ensures the quality of the training video while improving the recording efficiency of the training video.

[0054] Furthermore, in this invention, the central control module determines whether the equipment in the training video meets the cleaning standards based on the brightness of the training video measured by the detection module. When it is determined that the equipment in the training video does not meet the cleaning standards, the central control module controls the acquisition module to acquire the outline of the screen within a preset time period of the training video, or controls the adjustment module to adjust the brightness of the equipment to the corresponding value for the next training video recording process. This improves the quality of the training video and increases the recording efficiency of the training video while ensuring its quality. Attached Figure Description

[0055] Figure 1 This is a structural block diagram of the wireless live-streaming teaching system for practical training classrooms described in this invention.

[0056] Figure 2 This is a flowchart illustrating the method for determining whether the training video meets the recording standards according to the present invention.

[0057] Figure 3 This is a flowchart of the present invention for determining whether the video information in the time interval conforms to the standard;

[0058] Figure 4 This is a flowchart illustrating the present invention for adjusting the recording focal length of the recording device within a corresponding time interval. Detailed Implementation

[0059] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0060] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0061] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0062] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0063] Please see Figure 1 The diagram shown is a structural block diagram of a wireless live-streaming teaching system for practical training classrooms according to an embodiment of the present invention.

[0064] The wireless live-streaming teaching system for practical training classrooms according to embodiments of the present invention includes:

[0065] The recording module includes several recording devices capable of recording the training process from different angles to generate training videos containing video information of several time intervals for the training process;

[0066] A marking module, which is connected to the recording module, is used to receive the training video output by the recording module and mark the corresponding practical features in each time interval of the training video;

[0067] The acquisition module is connected to the marking module and is used to acquire feature information of the practical features marked by the marking module in the training video;

[0068] An adjustment module, connected to the recording module, is used to adjust the recording parameters of each recording device to corresponding values. The recording parameters include the recording point of each recording device, the brightness of the acquired image, and the sharpness.

[0069] A detection module, which is connected to the recording module, is used to detect the clarity and brightness of the training video output by the recording module;

[0070] The central control module is connected to the recording module, the marking module, the acquisition module, the adjustment module, and the detection module. It is used to initially determine whether the training video meets the recording standard based on the number of practical features in the video information that meet the preset standard. When the central control module determines that the training video does not meet the recording standard, it controls the recording module to regenerate the video information and adjusts the recording points of each recording device to the corresponding value according to the determination result before each recording device records the training process. Alternatively, before each recording device records the training process, it controls the detection module to detect the brightness of the training video and determines whether to adjust the recording brightness or the cleanliness of each recording device to the corresponding value based on the brightness of the training video.

[0071] The display module is connected to the central control module and is used to output information on whether the training video meets the recording standards.

[0072] This invention preliminarily determines whether a practical video meets the recording standard based on the number of practical features in the video information that conform to preset standards, thereby improving the accuracy of quality control of training videos. When a training video is determined not to meet the recording standard, the invention controls the recording module to regenerate the video information and adjusts the recording points of each recording device to the corresponding values ​​based on the determination result before recording the training process on each recording device, thus improving the quality of training videos. This invention improves teaching efficiency while enhancing the quality of training videos.

[0073] Please see Figure 2 As shown, it is a flowchart of the method for determining whether the training video meets the recording standards according to the present invention.

[0074] Specifically, under a first preset condition, the central control module counts the number of practical features in the training video collected by the acquisition module that meet preset standards, and records the ratio of this number to the total number of practical features in the training video as a first-level ratio. The central control module determines whether the training video meets the input standards based on the first-level ratio, wherein:

[0075] The first determination method is that the central control module determines that the training video meets the recording standard, the central control module controls the acquisition module to sequentially acquire the feature area of ​​the practical feature in each time interval, and determines whether the video information in the time interval meets the standard based on the feature area; the first determination method satisfies that the first-level ratio is greater than or equal to the first preset first-level ratio.

[0076] The second determination method is that the central control module determines that the training video does not meet the recording standard and the reason for not meeting the recording standard is that there are several time intervals in the video information, and the recording parameters of the corresponding recording devices for each time interval do not meet the standard. The central control module controls the acquisition module to sequentially acquire the contours of the practical features that do not meet the preset standard in the corresponding video information and determine the recording parameters of each recording device in the corresponding time interval in the next recording training process based on the contours. The second determination method satisfies that the first-level ratio is less than the first preset first-level ratio and greater than or equal to the second preset first-level ratio.

[0077] The third determination method is that the central control module determines that the training video does not meet the input standard and the reason for not meeting the input standard is that the overall picture of the video information does not meet the preset standard. The central control module controls the detection module to detect the brightness of the training video and determines whether the training video meets the cleanliness standard based on the detection result. The third determination method satisfies that the first-level ratio is less than the second preset first-level ratio.

[0078] The first preset condition is that the acquisition module completes the acquisition of feature information of the practical features marked by the marking module in the training video.

[0079] In this embodiment of the invention, the first preset first-stage ratio is 0.7, and the second preset first-stage ratio is 0.6.

[0080] This invention determines whether a training video meets the recording standard based on the number of practical features that meet preset standards in the training video collected by the acquisition module. When it is determined that the training video does not meet the recording standard, the acquisition module is controlled to sequentially collect the contours of the practical features that do not meet the preset standard in the corresponding video information and determine the recording parameters of each recording device in the corresponding time interval during the next recording of the training process based on the contours. This improves the control accuracy of the recording parameters of the recording devices. Alternatively, the invention controls the detection module to detect the brightness of the training video and determines whether the training video meets the cleanliness standard based on the detection results. This further improves the control accuracy of the quality of the training video and improves the recording efficiency of the training video while ensuring the quality of the training video.

[0081] Please see Figure 3 As shown, it is a flowchart of the present invention for determining whether the video information in the time interval meets the standard.

[0082] Specifically, under the first determination method, the central control module sequentially collects the feature area of ​​the practical feature within each time interval. For a single time interval, the central control module records the average area of ​​the corresponding practical feature within that time interval as the feature area for that time interval, and records the ratio of this feature area to the area of ​​the video information frame in that time interval as the secondary ratio for that time interval. The central control module determines whether the video information frame in that time interval conforms to the standard frame determination method based on the secondary ratio, wherein:

[0083] The first image determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the adjustment module to adjust the focal length of the device for the next training video recording to the corresponding value according to the secondary ratio; the first image determination method satisfies that the secondary ratio is less than or equal to the first preset secondary ratio.

[0084] The second screen determination method is as follows: the central control module determines that the video information in the time interval meets the standard, sends an instruction that meets the recording standard to the display module, and determines whether the video information in the next time interval meets the standard; the second screen determination method satisfies that the second-level ratio is greater than the first preset second-level ratio and less than or equal to the second preset second-level ratio.

[0085] The third screen determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the detection module to detect the clarity of the training video. The central control module determines whether the training video meets the noise reduction processing standard based on the detection result. The third screen determination method satisfies that the secondary ratio is greater than the second preset secondary ratio.

[0086] In this embodiment of the invention, the first preset secondary ratio is 0.7 and the second preset secondary ratio is 0.8.

[0087] This invention determines whether the video information in a given time interval meets the standard based on the average area of ​​the corresponding practical features within that time interval. If the video information in the time interval does not meet the standard, the invention controls the adjustment module to adjust the focal length of the device recording the next training video to the corresponding value, thus improving the control precision of the training video's image. Alternatively, the invention controls the detection module to detect the clarity of the training video and determines whether the training video meets the noise reduction processing standard based on the detection results, further improving the control precision of the training video's clarity and thus enhancing the quality of the training video.

[0088] Please see Figure 4 As shown, it is a flowchart of the present invention for adjusting the recording focal length of the recording device in a corresponding time interval.

[0089] Specifically, the central control module calculates the difference between the first preset secondary ratio and the secondary ratio under the first image determination method, and records this difference as the primary difference. Based on the primary difference, the central control module determines the focus adjustment method for the recording device in the corresponding time interval during the next recording, wherein:

[0090] The first focal length adjustment method is that the central control module selects a first focal length adjustment coefficient α1 to adjust the recording focal length Q, and sets the adjusted recording focal length Q' = α1 × Q; the first focal length adjustment method satisfies that the first-level difference is less than or equal to the preset first-level difference.

[0091] The second focal length adjustment method is that the central control module selects a second focal length adjustment coefficient α2 to adjust the recording focal length Q, and sets the adjusted recording focal length Q' = α2 × Q; the second focal length adjustment method satisfies that the first-level difference is greater than the preset first-level difference.

[0092] In this embodiment of the invention, the preset first-level difference value is 0.15.

[0093] Specifically, the central control module controls the detection module to detect the clarity of the training video under the third screen determination method, and determines whether the training video meets the noise reduction processing standard based on the detection result, wherein:

[0094] The first clarity determination method is that the central control module determines that the training video does not meet the noise reduction processing standard, and sends an instruction to the display module that meets the input standard; the first clarity determination method satisfies that the clarity is greater than or equal to the preset clarity.

[0095] The second clarity determination method is that the central control module determines whether the training video meets the noise reduction processing standard, and controls the adjustment module to perform noise reduction processing on the training video; the second clarity determination method satisfies that the clarity is less than the preset clarity.

[0096] In this invention, the central control module controls the detection module to detect the clarity of the training video and determines whether the training video meets the noise reduction processing standard based on the detection results. This improves the clarity of the training video and further enhances its quality. While ensuring video quality, it also increases the recording efficiency of the training video.

[0097] Specifically, under the second preset condition, the central control module controls the acquisition module to acquire the outlines in each view of the training video within a preset time period, and determines the practical features in the training video based on the acquired outlines. The central control module compares the practical features in each view with the preset practical features, determines the similarity of the practical features of each view based on the comparison results, and records the view with the highest similarity as the view to be adjusted.

[0098] The second preset condition is that the central control module determines the direction and angle of the device for the next training video recording based on the collected contour.

[0099] In this invention, the central control module determines the view to be adjusted based on the similarity between the practical features in each view and the preset practical features, thereby improving the control accuracy of the device to be adjusted and further improving the recording efficiency of practical training videos.

[0100] Specifically, the central control module controls the adjustment module to adjust the orientation of the device corresponding to the view to be adjusted to the corresponding position for the next training video recording, based on the location of the preset practical feature in the view to be adjusted. It also calculates the difference between the similarity of the view to be adjusted and the preset similarity, recording this difference as a secondary difference. The central control module determines the angle adjustment method for the adjusted device based on the secondary difference, wherein:

[0101] The first angle adjustment method is that the central control module selects a first angle adjustment coefficient β1 to adjust the angle W of the device to the corresponding value, and sets the adjusted angle W' = β1 × W; the first angle adjustment method satisfies that the two differences are greater than or equal to the preset second-level difference;

[0102] The second angle adjustment method involves the central control module selecting a second angle adjustment coefficient β2 to adjust the angle W of the device to the corresponding value, and setting the adjusted angle W' = β2 × W; the second angle adjustment method satisfies the condition that the second difference is less than the preset second-level difference.

[0103] When the central control module completes the adjustment of the device angle, it controls the recording module to re-record the training video.

[0104] In this invention, the central control module selects the corresponding angle adjustment coefficient based on the difference between the similarity of the view to be adjusted and the preset similarity to adjust the angle of the device to the corresponding value, thereby improving the control accuracy of the device angle and further improving the quality of the practical training video. While ensuring the quality of the practical training video, it further improves the recording efficiency of the practical training video.

[0105] Specifically, under a third preset condition, the central control module records the ratio of the number of practical features meeting preset standards to the total number of practical features in the new training video as a three-level ratio, and determines whether the angle adjustment is qualified based on the three-level ratio, wherein:

[0106] The first qualification determination method is that the central control module determines that the angle adjustment is qualified, and controls the acquisition module to acquire the feature area of ​​the preset practical feature. The central control module determines whether the picture of the training video meets the standard based on the feature area. The first qualification determination method satisfies that the three-level ratio is greater than or equal to the preset three-level ratio.

[0107] The second pass / fail determination method is that the central control module determines that the angle adjustment is unqualified, and controls the detection module to detect the clarity of the training video. The central control module determines whether the clarity of the training video meets the standard based on the detection result. The second pass / fail determination method satisfies that the three-level ratio is less than the preset three-level ratio.

[0108] The third preset condition is to complete the re-recording of the training video.

[0109] In this invention, the central control module determines whether the angle of the device is qualified based on the number of practical features that meet the preset standards. When the angle adjustment is determined to be unqualified, the central control module controls the detection module to detect the clarity of the training video. The central control module determines whether the clarity of the training video meets the standard based on the detection result. Alternatively, when the angle adjustment is determined to be qualified, the central control module controls the acquisition module to acquire the feature area of ​​the preset practical features. The central control module determines whether the image of the training video meets the standard based on the feature area. This improves the recording efficiency of the training video while ensuring its quality.

[0110] Specifically, under the fourth preset condition, the central control module controls the detection module to detect the brightness of the training video, and determines whether the equipment in the training video meets the cleaning standard based on the detection result, wherein:

[0111] The first cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the acquisition module to acquire the outline of the screen within a preset time period of the training video. The central control module adjusts the direction and angle of the device for the next training video recording according to the acquired outline. The first brightness adjustment method ensures that the brightness of the training video is within a preset brightness range.

[0112] The second cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the adjustment module to adjust the brightness of the device to the corresponding value for the next training video recording process; the second brightness determination method satisfies that the brightness of the training video is higher than the maximum value of the preset brightness range;

[0113] The third cleaning determination method is that the central control module determines that the training video meets the cleaning standard, and controls the adjustment module to adjust the cleanliness of the equipment for the next training video recording process; the third brightness determination method is that the brightness of the training video is lower than the maximum value of the preset brightness range;

[0114] The fourth preset condition is that the central control module determines whether the training video meets the cleaning standards.

[0115] In this invention, the central control module determines whether the equipment in the training video meets the cleaning standards based on the brightness measured by the detection module. When it is determined that the equipment in the training video does not meet the cleaning standards, the central control module controls the acquisition module to acquire the outline of the screen within a preset time period of the training video, or controls the adjustment module to adjust the brightness of the equipment to the corresponding value for the next training video recording process. This improves the quality of the training video and increases the recording efficiency of the training video while ensuring its quality.

[0116] Specifically, under the second cleaning determination method, the central control module records the difference between the brightness of the training video and the maximum value of the preset brightness range as a three-level difference, and adjusts the brightness adjustment method of the device for the next training video recording process according to the three-level difference determination, wherein:

[0117] The first brightness adjustment method is that the central control module selects a first brightness adjustment coefficient γ1 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L' = γ1 × L; the first brightness adjustment method satisfies that the three-level difference is less than or equal to the preset three-level difference.

[0118] The second brightness adjustment method is that the central control module selects the second brightness adjustment coefficient γ2 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L' = γ2 × L; the second brightness adjustment method satisfies that the three-level difference is greater than the preset three-level difference.

[0119] When the central control module finishes adjusting the brightness of the device, it controls the recording module to re-record the training video.

[0120] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0121] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A wireless live-streaming teaching system for practical training classrooms, characterized in that, include: The recording module includes several recording devices capable of recording the training process from different angles to generate training videos containing video information of several time intervals for the training process; A marking module, which is connected to the recording module, is used to receive the training video output by the recording module and mark the corresponding practical features in each time interval of the training video; The acquisition module is connected to the marking module and is used to acquire feature information of the practical features marked by the marking module in the training video; An adjustment module, connected to the recording module, is used to adjust the recording parameters of each recording device to corresponding values. The recording parameters include the recording point of each recording device, the brightness of the acquired image, and the sharpness. A detection module, which is connected to the recording module, is used to detect the clarity and brightness of the training video output by the recording module; The central control module is connected to the recording module, the marking module, the acquisition module, the adjustment module, and the detection module. It is used to initially determine whether the training video meets the recording standard based on the number of practical features in the video information that meet the preset standard. When the central control module determines that the training video does not meet the recording standard, it controls the recording module to regenerate the video information and adjusts the recording points of each recording device to the corresponding value according to the determination result before each recording device records the training process. Alternatively, before each recording device records the training process, it controls the detection module to detect the brightness of the training video and determines whether to adjust the recording brightness or the cleanliness of each recording device to the corresponding value based on the brightness of the training video. The display module is connected to the central control module and is used to output information on whether the training video meets the recording standards. The recording points include the recording angle and the recording focal length of the recording device, and the cleanliness refers to the cleanliness of the image captured under the influence of brightness.

2. The wireless live-streaming teaching system for practical training classrooms according to claim 1, characterized in that, The central control module counts the number of practical features that meet preset standards in the training videos collected by the acquisition module under a first preset condition, and records the ratio of this number to the total number of practical features in the training videos as a first-level ratio. The central control module determines whether the training video meets the input standards based on the first-level ratio, wherein: The first determination method is that the central control module determines that the training video meets the recording standard, the central control module controls the acquisition module to sequentially acquire the feature area of ​​the practical feature in each time interval, and determines whether the video information in the time interval meets the standard based on the feature area; the first determination method satisfies that the first-level ratio is greater than or equal to the first preset first-level ratio. The second determination method is that the central control module determines that the training video does not meet the recording standard and the reason for not meeting the recording standard is that there are several time intervals in the video information, and the recording parameters of the corresponding recording devices for each time interval do not meet the standard. The central control module controls the acquisition module to sequentially acquire the contours of the practical features that do not meet the preset standard in the corresponding video information and determine the recording parameters of each recording device in the corresponding time interval in the next recording training process based on the contours. The second determination method satisfies that the first-level ratio is less than the first preset first-level ratio and greater than or equal to the second preset first-level ratio. The third determination method is that the central control module determines that the training video does not meet the input standard and the reason for not meeting the input standard is that the overall picture of the video information does not meet the preset standard. The central control module controls the detection module to detect the brightness of the training video and determines whether the training video meets the cleanliness standard based on the detection result. The third determination method satisfies that the first-level ratio is less than the second preset first-level ratio. The first preset condition is that the acquisition module completes the acquisition of feature information of the practical features marked by the marking module in the training video.

3. The wireless live-streaming teaching system for practical training classrooms according to claim 2, characterized in that, Under the first determination method, the central control module sequentially collects the feature area of ​​the practical feature within each time interval. For a single time interval, the central control module records the average area of ​​the corresponding practical feature within that time interval as the feature area for that time interval and records the ratio of this feature area to the area of ​​the video information frame in that time interval as the secondary ratio for that time interval. The central control module determines whether the video information frame in that time interval conforms to the standard frame determination method based on the secondary ratio, wherein: The first image determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the adjustment module to adjust the focal length of the device for the next training video recording to the corresponding value according to the secondary ratio; the first image determination method satisfies that the secondary ratio is less than or equal to the first preset secondary ratio. The second screen determination method is as follows: the central control module determines that the video information in the time interval meets the standard, sends an instruction that meets the recording standard to the display module, and determines whether the video information in the next time interval meets the standard; the second screen determination method satisfies that the second-level ratio is greater than the first preset second-level ratio and less than or equal to the second preset second-level ratio. The third screen determination method is that the central control module determines that the video information in the time interval does not meet the standard, and controls the detection module to detect the clarity of the training video. The central control module determines whether the training video meets the noise reduction processing standard based on the detection result. The third screen determination method satisfies that the secondary ratio is greater than the second preset secondary ratio.

4. The wireless live-streaming teaching system for practical training classrooms according to claim 3, characterized in that, The central control module calculates the difference between the first preset secondary ratio and the secondary ratio under the first image determination method, and records this difference as the primary difference. Based on the primary difference, the central control module determines the focus adjustment method for the recording device in the corresponding time interval during the next recording, wherein: The first focal length adjustment method is that the central control module selects a first focal length adjustment coefficient α1 to adjust the recording focal length Q, and sets the adjusted recording focal length Q1'=α1×Q; the first focal length adjustment method satisfies that the first-level difference is less than or equal to the preset first-level difference. The second focal length adjustment method is that the central control module selects a second focal length adjustment coefficient α2 to adjust the recording focal length Q, and sets the adjusted recording focal length Q2'=α2×Q; the second focal length adjustment method satisfies that the first-level difference is greater than the preset first-level difference.

5. The wireless live-streaming teaching system for practical training classrooms according to claim 3, characterized in that, The central control module controls the detection module to detect the clarity of the training video under the third screen determination method, and determines whether the training video meets the noise reduction processing standard based on the detection result, wherein: The first clarity determination method is that the central control module determines that the training video does not meet the noise reduction processing standard, and sends an instruction to the display module that meets the input standard; the first clarity determination method satisfies that the clarity is greater than or equal to the preset clarity. The second clarity determination method is that the central control module determines whether the training video meets the noise reduction processing standard, and controls the adjustment module to perform noise reduction processing on the training video; the second clarity determination method satisfies that the clarity is less than the preset clarity.

6. The wireless live-streaming teaching system for practical training classrooms according to claim 2, characterized in that, The central control module controls the acquisition module to acquire the outlines in each view of the training video within a preset time period under the second preset condition, and determines the practical features in the training video based on the acquired outlines. The central control module compares the practical features in each view with the preset practical features, determines the similarity of the practical features of each view based on the comparison results, and records the view with the highest similarity as the view to be adjusted. The second preset condition is that the central control module determines the direction and angle of the device for the next training video recording based on the collected contour.

7. The wireless live-streaming teaching system for practical training classrooms according to claim 6, characterized in that, The central control module controls the adjustment module to adjust the orientation of the device corresponding to the view to be adjusted to the corresponding position for the next training video recording, based on the location of the preset practical feature in the view to be adjusted. It also calculates the difference between the similarity of the view to be adjusted and the preset similarity, recording this difference as a secondary difference. The central control module determines the angle adjustment method for the adjusted device based on the secondary difference, wherein: The first angle adjustment method is that the central control module selects a first angle adjustment coefficient β1 to adjust the angle W of the device to the corresponding value, and sets the adjusted angle W1'=β1×W; the first angle adjustment method satisfies that the second-level difference is greater than or equal to the preset second-level difference. The second angle adjustment method involves the central control module selecting a second angle adjustment coefficient β2 to adjust the angle W of the device to the corresponding value, and setting the adjusted angle W2'=β2×W; the second angle adjustment method satisfies the condition that the secondary difference is less than the preset secondary difference. When the central control module completes the adjustment of the device angle, it controls the recording module to re-record the training video.

8. The wireless live-streaming teaching system for practical training classrooms according to claim 7, characterized in that, Under a third preset condition, the central control module records the ratio of the number of practical features meeting preset standards to the total number of practical features in the new training video as a three-level ratio, and determines whether the angle adjustment is qualified based on the three-level ratio, wherein: The first qualification determination method is that the central control module determines that the angle adjustment is qualified, and controls the acquisition module to acquire the feature area of ​​the preset practical feature. The central control module determines whether the picture of the training video meets the standard based on the feature area. The first qualification determination method satisfies that the three-level ratio is greater than or equal to the preset three-level ratio. The second pass / fail determination method is that the central control module determines that the angle adjustment is unqualified, and controls the detection module to detect the clarity of the training video. The central control module determines whether the clarity of the training video meets the standard based on the detection result. The second pass / fail determination method satisfies that the three-level ratio is less than the preset three-level ratio. The third preset condition is to complete the re-recording of the training video.

9. The wireless live-streaming teaching system for practical training classrooms according to claim 3, characterized in that, Under a fourth preset condition, the central control module controls the detection module to detect the brightness of the training video, and determines whether the training video meets the cleaning standard based on the detection result, wherein: The first cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the acquisition module to acquire the outline of the screen within a preset time period of the training video. The central control module adjusts the direction and angle of the device for the next training video recording according to the acquired outline. The first brightness adjustment method ensures that the brightness of the training video is within a preset brightness range. The second cleaning determination method is that the central control module determines that the training video does not meet the cleaning standard, and controls the adjustment module to adjust the brightness of the device to the corresponding value for the next training video recording process; the second brightness determination method satisfies that the brightness of the training video is higher than the maximum value of the preset brightness range; The third cleaning determination method is that the central control module determines that the training video meets the cleaning standard, and controls the adjustment module to adjust the cleanliness of the equipment for the next training video recording process; the third brightness determination method is that the brightness of the training video is lower than the maximum value of the preset brightness range. The fourth preset condition is that the central control module determines whether the training video meets the cleaning standards.

10. The wireless live-streaming teaching system for practical training classrooms according to claim 9, characterized in that, Under the second cleaning determination method, the central control module records the difference between the brightness of the training video and the maximum value of the preset brightness range as a three-level difference, and adjusts the brightness adjustment method of the device for the next training video recording process according to the three-level difference determination, wherein: The first brightness adjustment method is that the central control module selects a first brightness adjustment coefficient γ1 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L1' = γ1 × L; the first brightness adjustment method satisfies that the three-level difference is less than or equal to the preset three-level difference. The second brightness adjustment method is that the central control module selects the second brightness adjustment coefficient γ2 to adjust the brightness L of the device to the corresponding value, and sets the adjusted brightness L2'=γ2×L; the second brightness adjustment method satisfies that the three-level difference is greater than the preset three-level difference. When the central control module finishes adjusting the brightness of the device, it controls the recording module to re-record the training video.

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