CN213424189U - Intelligent eye protection early warning equipment based on deep learning - Google Patents
Intelligent eye protection early warning equipment based on deep learning Download PDFInfo
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- CN213424189U CN213424189U CN202022956382.9U CN202022956382U CN213424189U CN 213424189 U CN213424189 U CN 213424189U CN 202022956382 U CN202022956382 U CN 202022956382U CN 213424189 U CN213424189 U CN 213424189U
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Abstract
The utility model relates to an intelligent eyeshield early warning equipment based on deep learning, the equipment includes the casing and is used for the adjustable support that fixes the casing, install microprocessor, distance sensor module, photoinduction module, camera, pronunciation module in the casing, distance sensor module, photoinduction module, camera, pronunciation module all are equipped with external window in the casing surface corresponding position; the casing positive surface has the touch-sensitive screen, and the touch-sensitive screen module is connected with microprocessor, is provided with the button that realizes different mode control on the touch-sensitive screen, includes: the button of control distance sensor module, photoinduction module, the independent work of camera respectively, the button of controlling two liang of simultaneous workings of distance sensor module, photoinduction module, camera, the button of controlling distance sensor module, photoinduction module, camera simultaneous workings. Each functional module of the equipment can work independently and can work cooperatively, has multiple functional modes, and can meet the use requirements of users under different conditions.
Description
Technical Field
The utility model belongs to the technical field of intelligence eyeshield equipment, concretely relates to intelligence eyeshield early warning equipment based on degree of depth study.
Background
Data statistics shows that the number of people suffering from myopia of teenagers increases year by year in recent years, and the trend of the age decreasing year by year is more and more obvious. With the rapid development of the artificial intelligence technology and the generalization of the application field thereof, a new technical design idea and concept are brought to the intelligent development of the myopia prevention product. The protective products related to the prevention of teenager myopia on the market are various in types, but the existing early warning equipment is single in function mode, an effective functional module cannot be selected according to actual requirements, the early warning products for the teenager myopia protection do not support remote data transmission, and the use of the early warning products for the teenager myopia is lack of supervision.
SUMMERY OF THE UTILITY MODEL
The not enough to prior art, the utility model discloses the technical problem who plans to solve is, has provided an intelligent eyeshield early warning equipment based on degree of depth study, and each functional module of this equipment can independent work and can cooperate work again, has multiple functional mode, can satisfy the user demand under the user different situation. Meanwhile, the equipment realizes remote intelligent remote supervision and early warning on the myopia of the teenagers by means of a deep learning technology and a wireless transmission technology. And the equipment has small volume and is convenient to carry and use.
In order to solve the technical problem the utility model discloses the technical scheme who takes is:
an intelligent eye protection early warning device based on deep learning comprises a shell and an adjustable support used for fixing the shell, wherein a microprocessor, a distance sensor module, a photoinduction module, a camera and a voice module are installed in the shell, and external windows are arranged at corresponding positions of the surface of the shell on the distance sensor module, the photoinduction module, the camera and the voice module; the method is characterized in that:
the casing positive surface has the touch-sensitive screen, and the touch-sensitive screen module is connected with microprocessor, is provided with the button that realizes different mode control on the touch-sensitive screen, includes: the button of control distance sensor module, photoinduction module, the independent work of camera respectively, the button of controlling two liang of simultaneous workings of distance sensor module, photoinduction module, camera, the button of controlling distance sensor module, photoinduction module, camera simultaneous workings.
Among the above-mentioned early warning equipment, the casing surface still is provided with power source, wireless interface module, is connected microprocessor and supervisor's intelligent terminal through wireless interface module, and power source is used for supplying power for equipment.
The microprocessor is also internally provided with a timer, the timer is connected with a key used for controlling the timer to work in the touch screen module, and the timer is also connected with at least one key used for controlling the timer to work simultaneously with the distance sensor module, the light sensing module and the camera.
Compared with the prior art, the beneficial effects of the utility model are that:
1) the utility model discloses an independent button has been set up to each early warning mode, can carry out the dynamic switching regulation of each mode through the key switch on the hardware equipment, through the operation of freely switching between this kind of each state, can let the user remove to select monitoring early warning mode, flexibility and the self-adaptability that improve equipment used according to the use custom of oneself or environment. Simultaneously the user can independently select which kind of mode of use under current environment protects the early warning to the eyeshield condition, and this equipment can carry out the collection of the gradient between relevant eyes and the books, distance, time with the eye, light darkness and position of sitting image, easy operation, convenient to use.
2) The utility model discloses a sensor module and micro-processing are all integrated in the casing, and this design can improve the utilization ratio in equipment space.
3) The utility model discloses be provided with wireless interface, can carry out wireless connection with intelligent terminal, this kind of wireless mode can be that wifi connects, 4G or 5G communication module connects, also can be bluetooth or infrared connection, uses wifi, 4G or 5G communication module to realize remote supervision, makes things convenient for supervisor (head of a family) can know teenagers' present use of eye habit in real time, is favorable to the later stage to the further supervising and urging of the unnormal use of eye of teenagers. The Bluetooth infrared connection is suitable for short-distance monitoring and convenient to use.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of the eye protection early warning system of the present invention;
fig. 2 is a schematic diagram of a switching circuit between the early warning modes according to the present invention;
in the figure, 1 a microprocessor, 2 a voice module, 3 a distance sensor module, 4 a light sensing module, 5 a camera, 6 a wireless interface module, 7 a battery interface and 8 a touch screen.
Detailed Description
The present invention will be further explained with reference to the following examples and drawings, but the scope of the present invention is not limited thereto.
The utility model discloses eyeshield early warning equipment includes: the device comprises a shell (not shown), a microprocessor 1, a voice module 2, a distance sensor module 3, a light induction module 4, a camera 5, a wireless interface module 6 and a touch screen. Data transmission between each module is mainly through connecting between the module and microprocessor inside data transmission line and signal control line connection, and supervisor's intelligent terminal passes through wireless interface module 6 and is connected with microprocessor 1, and the cell-phone APP that is loaded with in the cell-phone end is used for the control, because embedded modular design makes this equipment outward appearance more small and exquisite.
A data acquisition module, a data preprocessing module, a feature extraction module, a deep learning algorithm and a report output module are integrated in the microprocessor 1, the microprocessor is electrically connected with the voice module 2, the distance sensor module 3, the photoinduction module 4, the camera 5, the wireless interface module 6 and the touch screen 8, and the data acquisition module in the microprocessor is used for acquiring data of the camera, the photoinduction module and the distance sensor module;
the data preprocessing module is used for carrying out denoising and other processing on the acquired data;
the feature extraction module is used for extracting features of the preprocessed data, performing dimensionality reduction operation on the data, and inputting the extracted features into a deep learning algorithm;
the deep learning algorithm is used for analyzing and identifying the data set after the features are extracted, and obtaining the current eye use condition information and the early warning result information of the user.
And the report output module is used for storing the early warning result output by the deep learning algorithm, recording the posture change in the using process and sending the posture change to the intelligent terminal of the supervisor.
The microprocessor belongs to a core component of the early warning device, is arranged in the shell, the front surface of the shell is provided with a touch screen, an acquisition port provided with a camera is arranged on the touch screen, and the camera is responsible for image capture and collection; the distance sensor module is used for collecting the inclined distance between the eyes and the book on the left side of the camera; the light sensing module is used for identifying the brightness of the environment on the right side of the camera; the voice module is arranged on the side surface of the shell and is responsible for giving out prompt tones; the shell is also provided with a wireless interface module to realize the remote information transmission of information.
The microprocessor is also internally provided with a timer for recording the eye use time of the user.
Be provided with the button of different mode control on the touch-sensitive screen, include: the button of control distance sensor module, photoinduction module, camera, the independent work of time-recorder respectively, the button of controlling two liang of simultaneous workings of distance sensor module, photoinduction module, camera, time-recorder, the button of controlling at least three simultaneous workings of distance sensor module, photoinduction module, camera, time-recorder, the button of controlling distance sensor module, photoinduction module, camera, time-recorder simultaneous working. The following examples illustrate:
set up ten buttons on the touch-sensitive screen, include: the device comprises a key s1 for controlling the work of the distance sensor module, a key s5 for controlling the work of the distance sensor module and the light sensing module, a key s8 for controlling the work of the camera and the distance sensor module, a key s2 for controlling the work of the light sensing module, a key s6 for controlling the work of the light sensing module and the camera, a key s3 for controlling the work of the camera, a key s7 for controlling the work of the camera and the timer, a key s4 for controlling the work of the timer, a key s9 for controlling the work of the light sensing module and the timer, and a key s0 for controlling the four to work simultaneously.
The numbers of 0-9 can respectively represent the functions of the keys s0-s9 on the touch screen, the corresponding early warning monitoring modes respectively can be selected through the keys, and the mode combination early warning monitoring mode can be selected through the keys. Each button realizes data transmission connection through internal signal trigger respectively, and button s1 presses down, then the distance sensor module work, and the distance sensor module is connected with microprocessor electricity, and microprocessor acquires the data of distance sensor module, handles the change of output teenagers in-process distance to this data, and when the change surpassed the distance threshold value, microprocessor can control the pronunciation module and send out the early warning, and this data can be transmitted to supervisor's intelligent terminal simultaneously. When the key s2 is pressed down, the light sensing module works, the light sensing module is electrically connected with the microprocessor, the microprocessor acquires data of the light sensing module, processes the data and outputs the change of the ambient light intensity in the use process of teenagers, when the change exceeds the light intensity threshold value, the microprocessor can control the voice module to give out early warning, and the data can be transmitted to the intelligent terminal of a supervisor at the same time. The button s3 presses down, then the camera work, and the camera is connected with microprocessor electricity, and microprocessor obtains the data of camera, handles output teenagers 'position of sitting change in the use to this data, and when the change surpassed the threshold value, microprocessor can control voice module and send the early warning, and this data can be transmitted to supervisor's intelligent terminal simultaneously.
When the key s4 is pressed down, the timer works, the timer is connected with the microprocessor, the microprocessor acquires data of the timer and outputs the eye use time, when the eye use time exceeds a time threshold, the microprocessor can control the voice module to send out an early warning, and the data can be transmitted to the intelligent terminal of a supervisor at the same time.
When the key s5 is pressed down, the distance sensor module and the light sensing module work, the distance sensor module and the light sensing module are connected with the microprocessor, the microprocessor acquires data of the distance sensor module and the light sensing module, when any one of the distance sensor module and the light sensing module exceeds a corresponding threshold value after the data of the distance sensor module and the light sensing module are processed, the microprocessor can control the voice module to send out an early warning, and the data can be transmitted to an intelligent terminal of a supervisor at the same time.
The button s6 presses down, then photoinduction module and camera work, and photoinduction module and camera are connected with microprocessor, and microprocessor acquires the data of photoinduction module and camera, has any module to surpass corresponding threshold value after the data of photoinduction module and camera is handled, and microprocessor can control voice module and send the early warning, and this data can be transmitted to supervisor's intelligent terminal simultaneously.
When the key s7 is pressed down, the camera and the timer work, the camera and the timer are connected with the microprocessor, the microprocessor acquires data of the camera and the timer, when any module of the data of the camera and the timer exceeds a corresponding threshold value after being processed, the microprocessor can control the voice module to send out an early warning, and the data can be transmitted to the intelligent terminal of a supervisor at the same time.
The button s8 presses down, then camera and distance sensor module work, and camera and distance sensor module are connected with microprocessor, and microprocessor acquires the data of camera and distance sensor module, has any module to surpass corresponding threshold value after the data of camera and distance sensor module is handled, and microprocessor can control the pronunciation module and send the early warning, and this data can be transmitted to supervisor's intelligent terminal simultaneously.
When the key s9 is pressed down, the light sensing module and the timer work, the light sensing module and the timer are connected with the microprocessor, the microprocessor acquires data of the light sensing module and the timer, when any one of the data of the light sensing module and the timer exceeds a corresponding threshold value after being processed, the microprocessor can control the voice module to send out early warning, and the data can be transmitted to an intelligent terminal of a supervisor at the same time.
Button s0 presses, then the camera, the distance sensor module, photoinduction module and timer simultaneous working, the camera, the distance sensor module, photoinduction module and timer are connected with microprocessor, microprocessor acquires the camera, the distance sensor module, the data of photoinduction module and timer, when the camera, the distance sensor module, any module surpasss corresponding threshold value after the data of photoinduction module and timer is handled, microprocessor can control voice module and send the early warning, this data can transmit supervisor's intelligent terminal simultaneously.
The model selection of the main modules of the early warning equipment is as follows: the touch screen can use a TP223224226 touch sensor, and the touch keys are module capacitance type click single-key touch switches. The microprocessor is a Raspberry Pi 4B Raspberry display screen python all-in-one 8G computer linux development board. The distance sensor module can adopt HC-SR04, US-100 and US-015 ultrasonic distance measurement modules. The wireless interface module can be an SI4432 wireless serial port module. The voice module is a JQ8900-16P 8400MP3 voice module chip. The light sensing module adopts a photoresistance sensor module-a brightness photoelectric light detection sensor.
The utility model discloses an operating principle is: gather the gradient between people and the books in real time through range finding sensor module, the light sensitivity of environment is gathered to the photoinduction module, the real-time position of sitting of people is gathered to the camera, judge this gradient through degree of depth study in these data input microprocessors, whether the sensitivity of light and position of sitting image accord with the early warning threshold value, if the gradient surpasss the early warning threshold value, light is too bright or dark and can produce the early warning suggestion, incorrect position of sitting also can produce the early warning suggestion, and send the early warning suggestion sound through voice module. The specific deep learning algorithm process can be realized by adopting a common algorithm model, and does not belong to the protection content of the application.
The utility model discloses still be provided with at the back of casing and be used for the adjustable support fixed with the casing, adjustable support has the exposed core, can fix in arbitrary suitable position, makes the touch-sensitive screen of casing be located user's dead ahead, and the distance between specific touch-sensitive screen and the user can be through manual adjustment control such as the degree of curvature of adjustment support, angle of buckling, elongation.
The utility model discloses have through the gradient between multiple functional mode to user's eyes and the books, use the eye time, ambient light power and image data gather, can carry out the dynamic switch-over to each mode through the key switch on the hardware equipment and adjust, through the operation of freely switching over between this kind of each state, let the user can remove the selection monitoring mode according to the use custom of oneself, current service environment, improve the flexibility and the self-adaptability of test. And generating a supervision report, wherein the supervision report can realize remote wireless transmission of signals through a wireless interface module on the microprocessor, is sent to an intelligent terminal (mobile phone) of a supervisor for storage, can realize the function of wireless data communication, can reflect the sitting posture and eye use habit of the monitored person for a period of time, and plays a role in timely feedback.
The utility model discloses the nothing is mentioned the part and is applicable to prior art.
Claims (4)
1. An intelligent eye protection early warning device based on deep learning comprises a shell and an adjustable support used for fixing the shell, wherein a microprocessor, a distance sensor module, a photoinduction module, a camera and a voice module are installed in the shell, and external windows are arranged at corresponding positions of the surface of the shell on the distance sensor module, the photoinduction module, the camera and the voice module; the method is characterized in that:
the casing positive surface has the touch-sensitive screen, and the touch-sensitive screen module is connected with microprocessor, is provided with the button that realizes different mode control on the touch-sensitive screen, includes: the button of control distance sensor module, photoinduction module, the independent work of camera respectively, the button of controlling two liang of simultaneous workings of distance sensor module, photoinduction module, camera, the button of controlling distance sensor module, photoinduction module, camera simultaneous workings.
2. The early warning device of claim 1, wherein the outer surface of the housing is further provided with a power interface and a wireless interface module, the microprocessor is connected with an intelligent terminal of a supervisor through the wireless interface module, and the power interface is used for supplying power to the device.
3. The early warning device of claim 1, wherein a timer is further disposed in the microprocessor, the timer is connected to a key of the touch screen module for controlling the timer to operate, and the timer is further connected to a key for controlling the timer to operate simultaneously with at least one of the distance sensor module, the light sensing module, and the camera.
4. The early warning device as claimed in claim 1, wherein the touch screen uses a TP223224226 touch sensor, and the touch key is a module capacitive type click type single-key touch switch; the microprocessor is an 8G computer linux development board of a Raspberry Pi display screen python all-in-one machine; the distance sensor module is an HC-SR04, US-100 or US-015 ultrasonic ranging module; the wireless interface module is an SI4432 wireless serial port module; the voice module is a JQ8900-16P 8400MP3 voice module chip; the light sensing module adopts a light-sensitive resistance sensor module brightness photoelectric light detection sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022956382.9U CN213424189U (en) | 2020-12-11 | 2020-12-11 | Intelligent eye protection early warning equipment based on deep learning |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022956382.9U CN213424189U (en) | 2020-12-11 | 2020-12-11 | Intelligent eye protection early warning equipment based on deep learning |
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| Publication Number | Publication Date |
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| CN213424189U true CN213424189U (en) | 2021-06-11 |
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| CN202022956382.9U Active CN213424189U (en) | 2020-12-11 | 2020-12-11 | Intelligent eye protection early warning equipment based on deep learning |
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