CN111265220A - Myopia early warning method, device and equipment - Google Patents
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Abstract
The invention provides a myopia early warning method, a device and equipment, comprising the following steps: acquiring a human body sitting posture image with a target duration; determining whether a myopia early warning condition is met according to the human body sitting posture image; and when the myopia early warning condition is met, sending out a myopia early warning. By implementing the invention, the human body sitting posture image with the target duration is acquired, whether the short-sight early warning condition is met or not is judged, and when the short-sight early warning condition is met, the short-sight early warning is sent out, so that the early warning is realized through the human body sitting posture image, a user can adjust the sitting posture in time through the early warning, and the risk and probability of short sight caused by incorrect human body sitting posture are reduced.
Description
Technical Field
The invention relates to the technical field of myopia prevention, in particular to a myopia early warning method, device and equipment.
Background
At present, the number of myopia patients in China is up to 6 hundred million, wherein the visual defect rates of pupils at the ages of 7-12, students at the beginning of the ages of 13-15, students at the ages of 16-18 and students at the ages of 19-22 are 45.7%, 74.4%, 83.3% and 87.7% respectively. As the first global country of teenager myopia rates, China has a very severe vision health situation.
Most of the shortsightedness is caused by incorrect use of eyes, incorrect sitting posture, too short distance, overlong use time of eyes, weak or strong light intensity and the like. Among the correlation technique, when carrying out the myopia early warning, often adopt the infrared ray to measure a distance, report to the police when exceeding the early warning value, but the infrared ray is easy sheltered from at the range finding in-process, and the accuracy is poor, can't carry out the early warning immediately.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defect that the judgment accuracy of the current sitting posture is not high in the prior art, so that whether the sitting posture reaches the early warning condition or not cannot be accurately judged, and the myopia early warning method, the device and the equipment are provided.
According to a first aspect, embodiments of the present invention provide a method for warning myopia, including the following steps: acquiring a human body sitting posture image with a target duration; determining whether a myopia early warning condition is met according to the human body sitting posture image; and when the myopia early warning condition is met, sending out a myopia early warning.
With reference to the first aspect, in a first embodiment of the first aspect, the determining whether a myopia warning condition is met according to the human body sitting posture image includes: carrying out fuzzy matching on the human body sitting posture image with the target duration and a preset sitting posture template to obtain fuzzy matching similarity; and when the fuzzy matching similarity is lower than a preset similarity threshold, determining that the short-sight early warning condition is met.
With reference to the first aspect, in a second implementation manner of the first aspect, the determining whether a myopia warning condition is met according to the human body sitting posture image includes: acquiring the distance between the human body and the human body according to the human body sitting posture image; and when the distance does not meet the preset safety distance, determining that the short-sight early warning condition is met.
With reference to the first aspect, in a third implementation manner of the first aspect, before the acquiring the human sitting posture image of the target duration, the method further includes: obtaining current environment light to obtain light parameters; and when the light parameter does not meet the preset light numerical range, sending out a myopia early warning.
With reference to the first aspect, in a fourth embodiment of the first aspect, before the acquiring the human sitting posture image of the target duration, the method includes: determining whether face information exists in a target detection range; and when the face information exists in the target detection range, determining to enter a near-sightedness early warning mode.
With reference to the fourth implementation manner of the first aspect, in the fifth implementation manner of the first aspect, after determining that the near-vision early warning mode is entered when the face information exists in the target detection range, the method further includes: timing when entering the myopia early warning mode; and when the timing time exceeds a preset time threshold value, sending out a myopia early warning.
With reference to the first implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the performing fuzzy matching on the human sitting posture image of the target duration and a preset sitting posture template includes: acquiring human body joint characteristic points according to the human body sitting posture image; constructing a time sequence according to the human body joint characteristic points; carrying out fuzzy matching on the human body joint characteristic points of the last frame of the time sequence and the preset sitting posture template; and when the human body joint characteristic points of the last frame are not matched with the preset sitting posture template, carrying out reverse order fuzzy matching on the human body joint characteristic points in the time sequence and the preset sitting posture template.
According to a second aspect, an embodiment of the present invention provides a myopia warning device, including: the sitting posture image acquisition module is used for acquiring a human body sitting posture image of a target duration; the early warning judgment module is used for determining whether the short-sight early warning condition is met or not according to the human body sitting posture image; and the early warning module is used for sending out a myopia early warning when meeting the myopia early warning condition.
According to a third aspect, embodiments of the present invention provide a myopia warning device, including: a housing; a binocular camera; a controller for performing the myopia warning method of the first aspect or any embodiment of the first aspect; and the alarm module is connected with the controller and used for carrying out myopia early warning.
With reference to the third aspect, in a first implementation manner of the third aspect, the apparatus further includes: and the display module is used for displaying the human body sitting posture image and accessing the external equipment box network.
With reference to the third aspect, in a second implementation of the third aspect, the apparatus further includes: and the camera adjusting module is used for adjusting the angle of the binocular camera for collecting images.
With reference to the third aspect, in a third implementation manner of the third aspect, the apparatus further includes: a fixing member for fixing the apparatus.
With reference to the third aspect, in a fourth implementation of the third aspect, the apparatus further includes: and the signal transmission module is used for transmitting the near vision alarm information to the terminal and the network connection.
With reference to the third aspect, in a fifth implementation of the third aspect, the apparatus further comprises: power supply and operating condition indicator lamp.
According to a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect or any embodiment of the first aspect when executing the program.
According to a fifth aspect, embodiments of the present invention provide a storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the myopia warning method according to the first aspect or any of the embodiments of the first aspect.
The technical scheme of the invention has the following advantages:
the invention provides a myopia early warning method and device, which are characterized in that whether a myopia early warning condition is met or not is judged by acquiring a human body sitting posture image with target duration, and when the myopia early warning condition is met, a myopia early warning is sent out, so that the purpose of early warning the human body sitting posture image is achieved, a user can adjust the sitting posture in time through the early warning, and the risk and probability of myopia caused by incorrect human body sitting posture are reduced.
2. According to the myopia early warning method/device, the human body sitting posture image is subjected to fuzzy matching with the preset sitting posture template within a period of time, and when the human body sitting posture image is not matched with the preset sitting posture template, the human body sitting posture image is shown to be not in accordance with the healthy sitting posture standard, so that the myopia early warning prompt is sent, and the accuracy of judging whether the sitting posture meets the early warning condition or not is improved.
3. The invention provides a myopia early warning method/device, which can send out myopia early warning by detecting the distance between the device and a human body and when the distance does not meet the preset safety distance, realize the monitoring of the distance, ensure that a user can work or learn within the healthy eye distance range, and improve the effectiveness of myopia early warning.
4. The invention provides a myopia early warning method/device, which is used for detecting ambient light and sending out a myopia early warning when a detection result does not meet a preset light numerical range.
5. The invention provides a myopia early warning method/device, which is used for detecting whether face information exists before myopia early warning is carried out, and the face exists as a necessary condition for entering a myopia early warning mode, so that the pertinence of myopia early warning is improved.
6. The embodiment provides a myopia early warning method/device, when the myopia early warning mode is entered, timing is carried out, when the eye using time exceeds a preset time threshold, a myopia early warning is sent out, the eye using time is detected, the eye using time of a user is within the healthy eye using time length range, and the effectiveness of the myopia early warning is improved.
7. According to the myopia early warning method provided by the invention, a time sequence is constructed through human joint feature points, fuzzy matching is carried out on the last frame of human joint feature points in the time sequence and a preset sitting posture template, when the human joint feature points in the time sequence are not matched, reverse-order fuzzy matching is carried out on the human joint feature points in the time sequence and the preset sitting posture template, the matching similarity in the time period closest to the last frame of the time sequence can be judged through the reverse-order fuzzy matching, and when the matching similarity is lower than a preset similarity threshold value, the sitting posture of a user is not healthy sitting posture in the time period closest to the last frame of the time sequence, so that the false alarm rate is reduced.
8. The myopia early warning device provided by the invention realizes early warning on human eyesight protection by integrating the binocular camera, the controller and the alarm module, is simple in integration and small in size, and can be widely used in various occasions.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a specific example of a method for early warning of myopia in an embodiment of the present invention;
FIG. 2 is a diagram of an embodiment of a method for warning myopia;
FIG. 3 is a schematic block diagram of a specific example of a myopia warning device in an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a specific example of a myopia warning device in an embodiment of the present invention;
fig. 5 is a schematic block diagram of a specific example of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment provides a myopia warning method, as shown in fig. 1, including the following steps:
and S110, acquiring a human body sitting posture image with a target duration.
For example, the human sitting posture image may be obtained by an image obtaining device, such as a camera. The target time duration may be 30 seconds, and a plurality of frames of human sitting posture images may be obtained within the target time duration. In this embodiment, the target time length and the number of frames of the obtained human body sitting posture image are not limited, and can be determined by those skilled in the art as required.
And S120, determining whether the myopia early warning condition is met according to the human body sitting posture image.
For example, according to the human body sitting posture image, the method for determining whether the short-sight early warning condition is met may be that the distance between the human body and the human body is calculated through the human body sitting posture image, the calculated distance is compared with a preset distance, and when the calculated distance does not meet the preset distance, the short-sight early warning condition is determined to be met; the human body sitting posture image can be matched with the standard sitting posture database, and when the human body sitting posture image is not matched with the standard sitting posture database, the requirement for the myopia early warning condition is met. The embodiment does not limit the way of determining the meeting of the myopia warning condition according to the human body sitting posture image, and the person skilled in the art can determine the meeting according to the needs.
And S130, when meeting the myopia early warning condition, sending out a myopia early warning.
Illustratively, the manner of sending out the myopia warning may be to send out a warning tone or flash a warning lamp or send the warning content to the binding terminal. The method for sending out the myopia warning is not limited in the embodiment, and can be determined by a person skilled in the art as required.
This embodiment judges whether to satisfy near-sighted early warning condition through the long human position of sitting image of the target of acquireing, when satisfying near-sighted early warning condition, sends near-sighted early warning, has realized carrying out the early warning through human position of sitting image, and the user can in time adjust the position of sitting through the early warning, has reduced because the incorrect risk and the probability that leads to near-sighted of human position of sitting.
As an optional implementation manner of this embodiment, the step S120 includes:
firstly, carrying out fuzzy matching on the human body sitting posture image in the target duration and a preset sitting posture template to obtain fuzzy matching similarity.
Illustratively, the preset sitting posture template may be a standard sitting posture template for eye health, such as: one ruler with eyes away from the paper, one inch with hands away from the pen point, and one fist with chest away from the table; or a plurality of pre-stored health eye sitting posture image templates in a database. The way of fuzzy matching the human sitting posture image in the target time length with the preset sitting posture template may be to match similarity between multiple frames of human sitting posture images obtained in the target time length and the preset sitting posture template, respectively, and when the similarity is greater than the preset similarity, it indicates that the human sitting posture image of the current frame is consistent with the preset sitting posture template, and the preset similarity may be 80%. And after similarity matching is carried out on all the human body sitting posture images in the target duration in sequence, counting the number of frames of the human body sitting posture images which are consistent with and inconsistent with the preset sitting posture template, and taking the proportion of the number of frames of the human body sitting posture images which are consistent with the preset sitting posture template to all the frames as a fuzzy matching similarity result. In this embodiment, the number and posture of the preset sitting posture templates, the preset similarity and the fuzzy matching mode are not limited, and those skilled in the art can determine the preset sitting posture templates as needed.
And secondly, when the fuzzy matching similarity is lower than a preset similarity threshold, determining that the short-sight early warning condition is met.
Illustratively, the preset similarity threshold may be 70%, and when the fuzzy matching similarity is lower than the preset similarity threshold, it is determined that the myopia warning condition is satisfied. The preset similarity threshold is not limited in this embodiment, and can be determined by those skilled in the art as needed.
According to the myopia early warning method provided by the embodiment, the human sitting posture image and the preset sitting posture template are subjected to fuzzy matching in a period of time, and when the human sitting posture image and the preset sitting posture template are not matched, the human sitting posture image is represented to be not in line with the healthy sitting posture standard, so that a myopia early warning prompt is sent, and the accuracy of judging whether the sitting posture reaches the early warning condition or not is improved.
As an optional implementation manner of this embodiment, step S110 further includes:
and acquiring the distance from the human body according to the human body sitting posture image, and determining that the myopia early warning condition is met when the distance does not meet the preset safety distance.
For example, according to the human sitting posture image, the distance from the human body may be acquired by:
firstly, obtaining a human face feature value disparity map.
The face characteristic value can be position information of the double-eye part or the double-eye orbit part or face position information, the acquisition mode of the face characteristic value can be acquired through a convolutional neural network, and the specific acquisition mode is as follows: firstly, generating a regression vector of a candidate window and a frame regression method to correct the candidate window by using a P-Net full convolution network, and combining overlapped candidate frames by using non-maximum suppression (NMS); secondly, improving the candidate window by using N-Net, inputting the candidate window passing through P-Net into R-Net, rejecting most false windows, and continuing to use frame regression and non-maximum suppression (NMS) combination; and finally, outputting the final face characteristic value by using O-Net.
The face feature value disparity map can be obtained by respectively shooting images containing the same face information through a binocular camera and obtaining the face feature values of the two images containing the same face information according to the face feature value obtaining method.
And secondly, calculating the distance between the face characteristic value and the object obtained by the target image according to the face characteristic value disparity map.
Illustratively, the target image capture object may be a binocular camera, and the distance between the face feature value and the target image capture object is calculated as shown in fig. 2, OrAnd OlThe right camera and the left camera of the binocular camera respectively, the embodiment is OrAnd OlEstablishing a coordinate system for the origin of coordinates, P representing the position of the face feature value, PrAnd PlIs the projection of P on two image planes, xr、xlF represents the focal length of the current binocular camera, and Z represents the actual distance between the face characteristic value and the binocular camera, namely the distance to be measured. The parallax d may be represented by xr、xlDetermining, d ═ xl-xr。
The relation between the distance to be measured and the parallax d can be obtained by the principle of similar triangles:
the distance between the face characteristic value and the target image acquisition object can be obtained through the calculation mode.
The embodiment does not limit the distance acquisition mode and the specific numerical value of the preset safe distance, and a person skilled in the art can determine the distance acquisition mode and the specific numerical value according to needs.
The embodiment provides a myopia early warning method, acquire the distance with the human body through the parallax error, the distance accuracy that obtains is high, and compare in ultrasonic ranging and infrared ranging, can not lead to the condition of unable range finding because of sheltering from, and detect and the distance between the human body, when the unsatisfied safe distance that predetermines of distance, send the myopia early warning, realized the control to the distance, guarantee that the user can work or study with the eye distance within range healthily, improved the validity of myopia early warning.
As an optional implementation manner of this embodiment, step S120 includes:
firstly, obtaining the current ambient light to obtain light parameters.
For example, the current ambient light may be obtained in a manner that 1 to 2 seconds are used as an obtaining period, and the current ambient light is captured by an image obtaining device, such as a camera; light may also be captured by a light sensor. The obtained light parameters can be parameters such as light intensity, blue light/red light level in light and the like, and the blue light hazard in light can be characterized by blue light weighted radiance, blue light weighted irradiance and exposure time. According to safety standards GB7000.1-2015 and IEC/TR62778, a certain dose of blue light from the light source can be harmful to the retina. The light parameters are obtained through the obtained current ambient light, and the current ambient light is analyzed through a spectrometer and an imaging luminance meter to obtain index parameters of blue light radiation and light intensity parameters. The light obtaining period, the obtaining mode and the light parameter obtaining mode are not limited in this embodiment, and those skilled in the art can determine the light obtaining period, the obtaining mode and the light parameter obtaining mode as needed.
And secondly, when the light parameter does not meet the preset light numerical range, determining that the myopia early warning condition is met. .
Illustratively, the preset light value range may be a light value range satisfying safety standards GB7000.1-2015 and IEC/TR 62778. And when the detected index parameter of the blue light radiation exceeds the preset value of the RGB standard of IEC/TR62778 or the light intensity parameter is lower than 500 lux, determining that the myopia early warning condition is met. The preset light value range is not limited in this embodiment, and can be determined by those skilled in the art as needed.
The embodiment provides a myopia early warning method, which is used for detecting ambient light and sending out myopia early warning when a detection result does not meet a preset light numerical range.
As an optional implementation manner of this embodiment, before the step S110, the method includes:
determining whether face information exists in a target detection range; and when the face information exists in the target detection range, determining to enter a near-sightedness early warning mode.
For example, the determination mode of whether the face information exists in the target detection range may be to detect the face information in the target detection range in a certain detection period, and the specific mode may be to perform target detection on a target detection range picture through a neural network such as fast-RCNN and YOLO; a P-Net full convolution network which is a regional suggestion network of a face region can also be utilized, a candidate window and frame regression vector can be generated, and whether the region is face information or not is judged by inputting the extracted candidate window features into a face classifier. And when the face information exists in the target detection range, entering a near-sightedness early warning mode, wherein the near-sightedness early warning mode represents a mode for detecting unhealthy eyes and sending out a near-sightedness early warning in the embodiment. The determining mode of whether the face information exists in the target detection range and the detection period length are not limited in this embodiment, and those skilled in the art can determine the face information as needed.
The embodiment provides a myopia early warning method, which detects whether face information exists before performing myopia early warning, and improves the pertinence of myopia early warning by using the existence of a face as a necessary condition for entering a myopia early warning mode.
As an optional implementation manner of this embodiment, when there is face information in the target detection range, after determining that the near-sightedness early-warning mode is entered, the method further includes:
when entering a myopia early warning mode, timing; and when the timing time exceeds a preset time threshold, determining that the myopia early warning condition is met.
Illustratively, the preset time threshold value characterizes a maximum length of time for healthy eyes, which may be 40 minutes. When the user enters the myopia early warning mode, the timer starts to time the eye using time of the user, and when the eye using time exceeds a preset time threshold, the myopia early warning condition is determined to be met. The size of the preset time threshold is not limited in this embodiment, and can be determined by those skilled in the art as needed.
The embodiment provides a myopia early warning method, which is characterized in that when the myopia early warning method enters a myopia early warning mode, timing is carried out, when the eye using time exceeds a preset time threshold, a myopia early warning is sent out, the eye using time is detected, the eye using time of a user is within a healthy eye using time length range, and the effectiveness of the myopia early warning is improved.
As an optional implementation manner of this embodiment, fuzzy matching is performed on the human body sitting posture image within the target time length and the preset sitting posture template, including:
firstly, according to the human body sitting posture image, human body joint characteristic points are obtained.
Illustratively, the human joint feature points are primarily the torso and two hand portions, such as the head, neck, shoulders, arms, and so forth. The acquisition mode of the human body joint feature points may be acquired by inputting a pre-trained convolutional neural network, and the present embodiment does not limit the mode of acquiring the human body joint feature points, and a person skilled in the art can determine the mode as needed.
And secondly, constructing a time sequence according to the characteristic points of the human joints.
For example, the time series can be constructed by inputting the human joint feature points output from the convolutional neural network into a time recursive neural network (LSTM network), constructing the time series by the time recursive neural network, and storing the human joint feature point information in the target duration. The method for constructing the time series is not limited in this embodiment, and can be determined by those skilled in the art as needed.
And then, carrying out fuzzy matching on the last frame of human body joint characteristic points of the time sequence and a preset sitting posture template, and executing the next step when the last frame of human body joint characteristic points are not matched with the preset sitting posture template.
Illustratively, the preset sitting posture template may be a standard sitting posture joint feature point template for healthy eyes; or a plurality of pre-stored healthy human body sitting posture joint characteristic point image templates in a database. And carrying out fuzzy matching on the last frame of human body joint characteristic point in the time sequence and a preset sitting posture template, wherein the fuzzy matching mode can be that whether the position of the current frame of human body joint characteristic point is consistent with the position of the joint characteristic point in the preset sitting posture template or not is judged, when the position of the current frame of human body joint characteristic point is consistent with the position of the joint characteristic point in the preset sitting posture template, the current frame of human body joint characteristic point is matched with the preset sitting posture template. The fuzzy matching method is not limited in this embodiment, and those skilled in the art can determine the fuzzy matching method according to needs.
And thirdly, carrying out reverse order fuzzy matching on the human body joint characteristic points in the time sequence and the preset sitting posture template.
According to the myopia early warning method provided by the embodiment, the time sequence is constructed through the human joint feature points, fuzzy matching is conducted on the last frame of human joint feature points in the time sequence and the preset sitting posture template, when the human joint feature points in the time sequence are not matched, reverse-order fuzzy matching is conducted on the human joint feature points in the time sequence and the preset sitting posture template, matching similarity in the time period closest to the last frame of the time sequence can be judged through the reverse-order fuzzy matching, when the matching similarity is lower than a preset similarity threshold value, it is indicated that the user sitting posture is unhealthy in the time period closest to the last frame of the time sequence, and the false alarm rate is reduced.
The present embodiment provides a myopia warning device, as shown in fig. 3, including:
a sitting posture image obtaining module 310, configured to obtain a human sitting posture image of a target duration; the specific implementation manner is shown in step S110 of the method of this embodiment, and details are not described here.
The early warning judgment module 320 is used for determining whether the short-sight early warning condition is met according to the human body sitting posture image; the specific implementation manner is shown in step S120 of the method of this embodiment, and details are not described here.
And the early warning module 330 is used for sending out a near warning when the near warning condition is met. The specific implementation manner is shown in step S130 of the method of this embodiment, and details are not described herein again.
The embodiment realizes human sitting posture early warning for health eyes through the sitting posture image acquisition module, the early warning judgment module and the early warning module, and the user can adjust the sitting posture in time through early warning, so that the risk and probability of myopia caused by incorrect human sitting posture are reduced.
As an optional implementation manner of this embodiment, the early warning determining module 320 includes:
the matching module is used for carrying out fuzzy matching on the human body sitting posture image with the target duration and a preset sitting posture template to obtain fuzzy matching similarity; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the first early warning module is used for determining that the short-sight early warning condition is met when the fuzzy matching similarity is lower than a preset similarity threshold. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
The myopia early warning device that this embodiment provided carries out fuzzy matching through human position of sitting image and preset position of sitting template in to a period, when mismatching, indicates that human position of sitting is not conform to healthy position of sitting standard to send myopia early warning suggestion, improved and judged the position of sitting and whether reached the precision of early warning condition.
As an optional implementation manner of this embodiment, the early warning determining module 320 includes:
the distance acquisition module is used for acquiring the distance between the human body and the human body according to the human body sitting posture image; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the first early warning determination module is used for determining that the short-sight early warning condition is met when the distance does not meet the preset safety distance. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the myopia warning device further includes:
the light ray acquisition module is used for acquiring current environment light rays to obtain light ray parameters; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the second early warning determination module is used for determining that the short-sight early warning condition is met when the light parameter does not meet the preset light numerical range. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the myopia warning device further includes:
the face determining module is used for determining whether face information exists in a target detection range; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the early warning mode entering module is used for determining to enter a near warning mode when the face information exists in the target detection range. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the myopia warning device further includes:
the timing module is used for timing when entering a near-sightedness early warning mode; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the third early warning determination module is used for determining that the short-sight early warning condition is met when the timing time exceeds a preset time threshold. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the matching module includes:
and the joint point acquisition module is used for acquiring the characteristic points of the joints of the human body according to the human body sitting posture image. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the time sequence construction module is used for constructing a time sequence according to the human body joint characteristic points. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
The matching submodule is used for carrying out fuzzy matching on the human body joint characteristic points of the last frame of the time sequence and a preset sitting posture template; the specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
And the reverse order matching module is used for performing reverse order fuzzy matching on the human body joint characteristic points in the time sequence and the preset sitting posture template when the human body joint characteristic points of the last frame are not matched with the preset sitting posture template. The specific implementation manner is shown in the corresponding part of the method of the embodiment, and is not described herein again.
The present embodiment provides a myopia warning apparatus, as shown in fig. 4, including:
a housing 400;
a binocular camera 410;
a controller 420 for performing the myopia warning method in the above embodiment;
and the alarm module 430 is connected with the controller and used for carrying out myopia early warning. The alarm module can be a loudspeaker for alarming the early warning information, can also be a flashing prompt lamp, and can also be used for sending the near warning information to the terminal. The specific alarm mode of the alarm module is not limited in this embodiment, and those skilled in the art can determine the alarm mode according to needs.
The myopia early warning equipment that this embodiment provided realizes the early warning to human eyesight protection through integrated binocular camera, controller and alarm module, and this equipment integration is simple, and is small, can extensively be used for various occasions.
As an optional implementation manner of this embodiment, the myopia warning device, as shown in fig. 4, further includes: and the display module 440 is used for displaying the human body sitting posture image and accessing external equipment and a network.
As an optional implementation manner of this embodiment, the myopia warning device, as shown in fig. 4, further includes: and the camera adjusting module 450 is used for adjusting the angle of the binocular camera for collecting images. The binocular camera is arranged on the camera adjusting module, a user can rotate the camera adjusting module according to the human sitting posture image displayed by the display module, and the angle of the image collected by the binocular camera is adjusted until the human sitting posture image can be completely acquired by the binocular camera.
As an optional implementation manner of this embodiment, the myopia warning device, as shown in fig. 4, further includes: and a fixing member 460 for fixing the myopia warning apparatus. The fixing piece can be a clamp, a sucker, a sticker and the like, the myopia early warning device can be independently placed on a desktop through the fixing piece, and the myopia early warning device can also be attached to electronic equipment such as a mobile phone, a tablet, a computer, a game machine and a learning machine. The embodiment does not limit the specific form of the fixing member, and those skilled in the art can determine the fixing member according to the needs.
As an optional implementation manner of this embodiment, the myopia warning device, as shown in fig. 4, further includes: and the signal transmission module 470 is used for transmitting the near vision alarm information to the terminal and network connection. The terminal represents a terminal bound with the myopia warning device, the signal transmission module can be a WIFI module, a Bluetooth module, a 3G \4G \5G module, a radio frequency antenna and the like, the specific form of the signal transmission module is not limited in the embodiment, and a person skilled in the art can determine the specific form as required.
The myopia early warning device adopts a network connection mode, wherein one mode is that WIFI password input is completed on a display module; and the second step is to scan the two-dimensional code picture of the myopia early warning device through the mobile phone camera, download the APP corresponding to the device, collect the unique product serial number of the device through the APP and bind the device, and then perform the password setting of WIFI.
As an optional implementation manner of this embodiment, the myopia warning device, as shown in fig. 4, further includes: a power supply 480 and an operating status indicator lamp 490. The power supply can be a built-in power supply or an external power supply. When the myopia early warning equipment is powered on but network connection is not completed, the working state indicator lamp flashes a yellow lamp; the working state indicator lights flash blue lights when the myopia early warning equipment completes network connection, and still flash yellow lights if the network connection fails; when the myopia early warning equipment sends out a myopia early warning, the working state indicator lights flash red light.
The embodiment of the present application also provides an electronic device, as shown in fig. 5, including a processor 510 and a memory 520, where the processor 510 and the memory 520 may be connected by a bus or in other manners.
Processor 510 may be a Central Processing Unit (CPU). The Processor 510 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 520, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the myopia warning method in the embodiments of the present invention. The processor executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions, and modules stored in the memory.
The memory 520 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 520 may optionally include memory located remotely from the processor, which may be connected to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 520 and, when executed by the processor 510, perform a myopia warning method as in the embodiment of fig. 1.
The details of the electronic device may be understood with reference to the corresponding related description and effects in the embodiment shown in fig. 1, and are not described herein again.
The embodiment also provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the myopia warning method in any method embodiment. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (16)
1. A myopia early warning method is characterized by comprising the following steps:
acquiring a human body sitting posture image with a target duration;
determining whether a myopia early warning condition is met according to the human body sitting posture image;
and when the myopia early warning condition is met, sending out a myopia early warning.
2. The method of claim 1, wherein determining whether a myopia warning condition is met according to the human sitting posture image comprises:
carrying out fuzzy matching on the human body sitting posture image with the target duration and a preset sitting posture template to obtain fuzzy matching similarity;
and when the fuzzy matching similarity is lower than a preset similarity threshold, determining that the short-sight early warning condition is met.
3. The method of claim 1, wherein determining whether a myopia warning condition is met according to the human sitting posture image comprises:
acquiring the distance between the human body and the human body according to the human body sitting posture image;
and when the distance does not meet the preset safety distance, determining that the short-sight early warning condition is met.
4. The method of claim 1, wherein prior to obtaining the image of the human sitting posture for the target length of time, the method further comprises:
obtaining current environment light to obtain light parameters;
and when the light parameter does not meet the preset light numerical range, determining that the myopia early warning condition is met.
5. The method of claim 1, wherein the obtaining of the human sitting posture image for the target length of time comprises:
determining whether face information exists in a target detection range;
and when the face information exists in the target detection range, determining to enter a near-sightedness early warning mode.
6. The method of claim 5, wherein after determining that the near-sightedness early-warning mode is entered when the face information exists in the target detection range, the method further comprises:
timing when entering the myopia early warning mode;
and when the timing time exceeds a preset time threshold value, sending out a myopia early warning.
7. The method of claim 2, wherein the fuzzy matching of the human sitting posture image of the target duration with a preset sitting posture template comprises:
acquiring human body joint characteristic points according to the human body sitting posture image;
constructing a time sequence according to the human body joint characteristic points;
carrying out fuzzy matching on the human body joint characteristic points of the last frame of the time sequence and the preset sitting posture template;
and when the human body joint characteristic points of the last frame are not matched with the preset sitting posture template, carrying out reverse order fuzzy matching on the human body joint characteristic points in the time sequence and the preset sitting posture template.
8. A myopia warning device, comprising:
the sitting posture image acquisition module is used for acquiring a human body sitting posture image of a target duration;
the early warning judgment module is used for determining whether the short-sight early warning condition is met or not according to the human body sitting posture image;
and the early warning module is used for sending out a myopia early warning when meeting the myopia early warning condition.
9. A myopia warning device, comprising:
a housing;
a binocular camera;
a controller for performing the myopia warning method of any one of claims 1-7;
and the alarm module is connected with the controller and used for carrying out myopia early warning.
10. The apparatus of claim 9, further comprising: and the display module is used for displaying the human body sitting posture image and accessing external equipment and a network.
11. The apparatus of claim 9, further comprising: and the camera adjusting module is used for adjusting the angle of the binocular camera for collecting images.
12. The apparatus of claim 9, further comprising: a fixing member for fixing the apparatus.
13. The apparatus of claim 9, further comprising: and the signal transmission module is used for transmitting the near vision alarm information to the terminal and the network connection.
14. The apparatus of claim 9, further comprising: power supply and operating condition indicator lamp.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the myopia warning method of any one of claims 1 to 7 when executing the program.
16. A storage medium having stored thereon computer instructions which, when executed by a processor, carry out the steps of the myopia warning method of any one of claims 1 to 7.
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| CN112200088A (en) * | 2020-10-10 | 2021-01-08 | 普联技术有限公司 | Sitting posture monitoring method, device, equipment and system |
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