CN108924500B - Intelligent lifting table camera shooting reminding method and device, intelligent lifting table and storage medium - Google Patents
Intelligent lifting table camera shooting reminding method and device, intelligent lifting table and storage medium Download PDFInfo
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- CN108924500B CN108924500B CN201810812934.3A CN201810812934A CN108924500B CN 108924500 B CN108924500 B CN 108924500B CN 201810812934 A CN201810812934 A CN 201810812934A CN 108924500 B CN108924500 B CN 108924500B
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- intelligent lifting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B9/00—Tables with tops of variable height
Abstract
The embodiment of the application discloses a method and a device for reminding camera shooting of an intelligent lifting table, the intelligent lifting table and a storage medium, wherein the method comprises the steps of acquiring image information of a user through a camera shooting device, and integrating the camera shooting device on the intelligent lifting table; identifying the image information and judging whether the user is in an unhealthy posture; if the situation that the user is in an unhealthy posture is detected, a reminding event is triggered, so that the user can be reasonably reminded of health when working, and the intelligent degree of the intelligent lifting table is improved.
Description
Technical Field
The embodiment of the application relates to the field of office furniture, in particular to a method and a device for reminding camera shooting of an intelligent lifting table, the intelligent lifting table and a storage medium.
Background
Office tables are widely used in office places such as a front desk, a conference room, and an office as one of important office equipment. Traditional desk only provides simple office function, if provide the drawer storing and put computer office supplies etc. intelligent degree is relatively poor.
In the prior art, for example, patent number CN205568240U discloses a pneumatic double-leg intelligent lifting table, including the desktop and controlling leg support, it is used for the pneumatic rod of intelligent lifting desktop to all be equipped with in the leg support about, the pneumatic rod top is equipped with the air pressure switch who is used for controlling pneumatic rod lift, be connected with the control adjusting device who controls its motion on the air pressure switch, control adjusting device includes the pipe cap of entangling the air pressure switch, rotatable mounting controls the shifting block of air pressure switch switching and the stay cord of control shifting block motion on the pipe cap, the outer end connection of stay cord is on control switch, control switch control stay cord, make stay cord pulling shifting block compress tightly or loosen air pressure switch, two strands of stay cords merge into one on control switch. The utility model discloses a beneficial effect is: the structure has the advantages that the structure is simple, the pull rope is stressed greatly, the regulator is arranged on two sides of the structure and has good synchronism, the desktop is lifted stably, the control switch can be arranged at any place of the desktop, and the use is convenient. Also, for example, patent No. CN206166181U discloses a hand-operated intelligent lifting table, which comprises a table top plate, legs and a lifting column, wherein the table top plate is arranged above the lifting column; the lifting column comprises an upper tube body and a lower tube body which are nested and matched with each other inside and outside, and the bottom end of the lower tube body is fixedly connected with the upper plane of the supporting leg; a screw rod is embedded in the upper part of the inner cavity of the upper tube body, a gear box is assembled at the top end of the screw rod, a handle body is assembled outside the gear box, and the rotation of the screw rod is driven to operate through the operation of the handle body and the gear box; the energy-saving environment-friendly lifting device has the advantages of energy conservation, environmental protection, high safety, no power consumption, free lifting by hand shaking, smooth lifting, good synchronism, firmness, durability, simple structure and simplicity and convenience in installation; the disease caused by sedentary sitting is prevented, the structure of human engineering is met, and the multifunctional chair is suitable for office and study; the device is suitable for office environments, schools, public places and families; compared with an electric intelligent lifting table, the electric intelligent lifting table has the advantages of cost saving, higher safety and larger bearing. The prior art is lack of intelligent design and has defects.
Disclosure of Invention
The application provides a camera shooting reminding method and device for an intelligent lifting table, the intelligent lifting table and a storage medium, so that a user can be reasonably reminded of health when working, and the intelligent degree of the intelligent lifting table is improved.
In a first aspect, an embodiment of the application provides an intelligent lifting table shooting reminding method, which includes:
acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table;
identifying the image information and judging whether the user is in an unhealthy posture;
if the user is detected to be in an unhealthy posture, a reminder event is triggered.
Optionally, before the acquiring, by the image capturing device, image information of the user, the method further includes:
when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table.
Optionally, the identifying the image information and determining whether the user is in an unhealthy posture includes:
and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model.
Optionally, the identifying the image information and determining whether the user is in an unhealthy posture includes:
and identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image.
Optionally, if it is detected that the user is in an unhealthy posture, the triggering a reminder event includes:
and if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table.
Optionally, after the identifying the image information and determining whether the user is in an unhealthy posture, the method further includes:
determining the continuous working time of the user through the time of the user image information acquired by the camera, and triggering a reminding event if the continuous working time is longer than the preset time.
In a second aspect, an embodiment of the present application further provides a reminding device makes a video recording for intelligent lifting table, including:
the acquisition unit is used for acquiring image information of a user through a camera device, and the camera device is integrated on the intelligent lifting table;
the recognition unit is used for recognizing the image information and judging whether the user is in an unhealthy posture;
and the reminding unit is used for triggering a reminding event if the unhealthy posture of the user is detected.
Optionally, the identification unit is specifically configured to:
identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model; or
And identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image.
In a third aspect, an embodiment of the present application further provides an intelligent lifting table, including: the intelligent lifting table shooting reminding method comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the computer program, the intelligent lifting table shooting reminding method is realized.
In a fourth aspect, an embodiment of the present application further provides a storage medium containing an intelligent lifting table executable instruction, where the intelligent lifting table executable instruction is used to execute the intelligent lifting table camera shooting reminding method according to the embodiment of the present application when executed by an intelligent lifting table processor.
In the scheme, image information of a user is acquired through a camera device, and the camera device is integrated on the intelligent lifting table; identifying the image information and judging whether the user is in an unhealthy posture; if the user is detected to be in an unhealthy posture, a reminding event is triggered, so that the user can be reasonably reminded of health when working, and the intelligent degree of the intelligent lifting table is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a flowchart of a method for reminding camera shooting of an intelligent lifting table according to an embodiment of the present application;
fig. 2 is a flowchart of another method for reminding camera shooting of an intelligent lifting table according to an embodiment of the present application;
fig. 3 is a flowchart of another method for reminding camera shooting of an intelligent lifting table according to an embodiment of the present application;
fig. 4 is a flowchart of another method for reminding camera shooting of an intelligent lifting table according to the embodiment of the present application;
fig. 5 is a flowchart of another method for reminding camera shooting of an intelligent lifting table according to the embodiment of the present application;
fig. 6 is a block diagram of a structure of an intelligent lifting table camera shooting reminding device provided in the embodiment of the present application;
fig. 7 is a schematic structural diagram of an intelligent lifting table provided in an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are for purposes of illustration and not limitation. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of an intelligent lifting table camera shooting reminding method provided in an embodiment of the present application, and is applicable to reminding a user in a daily office process, where the method may be executed by the intelligent lifting table provided in the embodiment of the present application, and the intelligent lifting table camera shooting reminding device of the intelligent lifting table may be implemented in a software and/or hardware manner, as shown in fig. 1, the specific scheme provided in this embodiment is as follows:
and S101, acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table.
In one embodiment, the camera device is arranged on the desktop of the intelligent lifting table, when a user sits in front of the intelligent lifting table, the image of the user can be correspondingly collected, and if the user is not beside the intelligent lifting table, the image of the user cannot be collected.
Correspondingly, before the image information of the user is acquired through the camera device, the method further comprises the following steps: when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table. Wherein, this pressure sensor integration is in intelligent lift table, and is optional, integrated at the desktop edge of intelligent lift table, when it detects to be pressed, corresponding camera device of opening is in order to carry out image acquisition. Optionally, the camera device is turned off correspondingly for acquiring the user image in 1 hour of the camera device. In one embodiment, the pressure sensor is disposed at a specific position of the intelligent lifting table, the specific position can be marked by a corresponding mark, for example, a color block with a color different from the overall color of the table top of the intelligent lifting table is marked, and a user can manually press the mark to turn on the camera device.
And S102, identifying the image information and judging whether the user is in an unhealthy posture.
In one embodiment, the identification of the captured image is used to determine whether the user is in an unhealthy state, which may be an unhealthy sitting state. Specifically, the identifying the image information and judging whether the user is in an unhealthy posture includes: and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model. The preset training model is obtained by training sitting posture pictures of a plurality of big data users, the model takes the sitting posture pictures of the users as input and can correspondingly output a result of whether the sitting postures are correct or not, if the sitting postures are correct, the corresponding users are in a healthy state, and if the sitting postures are incorrect, the corresponding users are in an unhealthy state.
In another embodiment, the recognizing the image information and determining whether the user is in an unhealthy posture comprises: and identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image. Illustratively, the bending angle of the neck relative to the tabletop of the intelligent lifting table is obtained through neck image recognition, if the neck and the tabletop of the intelligent lifting table are in a vertical state or within a range of plus or minus 10 degrees of 90 degrees, the neck and the tabletop of the intelligent lifting table are in a healthy posture, otherwise, the neck and the tabletop of the intelligent lifting table are in an unhealthy posture.
And step S103, if the user is detected to be in an unhealthy posture, triggering a reminding event.
Wherein a reminder event is triggered when the user is in an unhealthy posture. Optionally, the reminder event may be triggered when the user is detected to be in an unhealthy posture for a preset threshold (e.g., 20 minutes). The reminding event is used for reminding the user to correct the unhealthy posture and keep the correct sitting posture, and can be a voice prompt, a vibration prompt and the like.
According to the intelligent lifting table, whether the user is in a healthy posture or not is judged by collecting the image information of the user, and corresponding reminding is performed once the user is in an unhealthy posture.
Fig. 2 is a flowchart of another method for reminding a user to take a picture of an intelligent lifting table according to an embodiment of the present application, and optionally, before the image information of the user is acquired by the image capturing device, the method further includes: when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table. As shown in fig. 2, the technical solution is as follows:
step S201, when the fact that the tabletop of the intelligent lifting table is pressed is detected through a pressure sensor, a camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table.
Wherein, this pressure sensor is integrated in intelligent lift table, and is optional, and integrated at the desktop edge of intelligent lift table, when it detects to be pressed, the corresponding camera device of opening is in order to monitor the user, and the user is using intelligent lift table when official working promptly, and the arm can touch the desktop edge of pressing intelligent lift table in order to trigger opening of camera.
And S202, acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table.
And step S203, identifying the image information and judging whether the user is in an unhealthy posture.
And step S204, if the user is detected to be in an unhealthy posture, triggering a reminding event.
By the above, the image of the user is collected by reasonably starting the camera device through the pressure detected by the pressure sensor, and the electric energy consumption of the intelligent lifting table is saved.
Fig. 3 is a flowchart of another method for reminding a user to take a picture of an intelligent lifting table according to the embodiment of the present application, where optionally, the identifying the image information and determining whether the user is in an unhealthy posture includes: and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model. As shown in fig. 3, the technical solution is as follows:
and S301, acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table.
And S302, identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model.
In one embodiment, the image information is used as an input of a preset training model to obtain a judgment result of whether the user is in an unhealthy posture, and the preset training model can be obtained by learning and identifying a large number of sitting posture images containing the user by adopting the existing artificial intelligence and machine learning algorithm.
Step S303, if the user is detected to be in an unhealthy posture, a reminding event is triggered.
By the above, this scheme makes the user when handling official business, based on machine learning and artificial intelligence's combination, can obtain reasonable healthy warning, has improved the intelligent degree of intelligence lift table.
Fig. 4 is a flowchart of another method for reminding a user to take a picture of an intelligent lifting table according to the embodiment of the present application, where optionally, the identifying the image information and determining whether the user is in an unhealthy posture includes: and identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image. As shown in fig. 4, the technical solution is as follows:
and S401, acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table.
Step S402, identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image.
Among them, white-collar workers are always affected by cervical spondylosis in daily work, which is caused by improper sitting posture to a great extent. In one embodiment, the image information collected by the camera device is used to obtain the neck image of the user to determine whether the cervical vertebrae keeps a good posture, specifically, when the user uses office equipment such as a computer for office work, the cervical vertebrae is usually in an unhealthy posture when the user works due to too high or too low computer screen or height matching of a desktop of a chair, and the cervical vertebrae may not be good for health due to sitting posture problems of the user. For example, a training model may be obtained by machine learning to determine whether the current neck image is in a healthy posture, and the training process may employ a supervised or semi-supervised learning algorithm.
And step S403, if the user is detected to be in an unhealthy posture, triggering a reminding event.
By the above, the scheme enables the user to timely remind the user of bad sitting postures when the user works, so that the problem of cervical vertebra is avoided, and the intelligent degree of the intelligent lifting table is improved.
Fig. 5 is a flowchart of another method for reminding a user to take a picture of an intelligent lifting table according to an embodiment of the present application, where optionally, if it is detected that the user is in an unhealthy posture, triggering a reminding event includes: and if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table. As shown in fig. 5, the technical solution is as follows:
and S501, acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table.
And step S502, identifying the image information and judging whether the user is in an unhealthy posture.
And S503, if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table.
In one embodiment, the reminding event is given in a mode of being displayed through a touch display screen integrated with the intelligent lifting table, optionally, vibration or voice prompt of the intelligent lifting table can be accompanied, and the touch display screen is arranged on the tabletop of the intelligent lifting table. For example, the display content may be "please adjust the sitting posture", "pay attention to the cervical vertebra problem", etc
By the above, when the user sits in an unhealthy posture, the intelligent lifting table can automatically give a prompt to prompt the user to work healthily and keep the body healthy.
On the basis of the technical scheme, a reminding method based on the infrared sensor can be further integrated, and the reminding method comprises the following specific steps:
the user is monitored through the infrared sensing device, and the infrared sensing device is integrated on the intelligent lifting table. In one embodiment, the infrared device is arranged at the lower part of the desktop of the intelligent lifting table, and when a user sits in front of the intelligent lifting table, the presence of the user is correspondingly sensed so as to monitor the user. In particular, it adopts the infrared reflection principle, when the user comes into the sensing range, and the hand or some part of the body of the user is in the infrared ray region, the infrared ray emitted from infrared ray transmitting tube can be reflected into infrared ray receiving tube due to the human hand or body shieldingo so as to sense that the user is positioned in front of the intelligent lifting table.
And judging whether the user is in an office state, and if so, generating time statistical information. In one embodiment, the working status of the user includes an office status and a non-office status, the office status may be defined as a status of the user when working at the location of the smart elevating table, the smart elevating table may be used as a daily office table of a user, such as white-collar workers and office workers, the user when working uses the smart elevating table to work, and the non-office status may be defined as a status of the user when not working at the smart elevating table. The user is monitored through the infrared sensing device and integrated in the intelligent lifting table, illustratively, the user can be in an office state or in a joint of the tabletop of the intelligent lifting table and table legs, whether the user is in the office state or not is determined according to a monitoring result of infrared sensing in the step, namely, the user is monitored and sensed, and if the user is in the office state or not, time statistical information is generated and records the time of the user in the working state.
And if the time statistical information meets a preset condition, triggering a reminding event. The preset condition may be that the time that the user is in the working state is greater than or equal to 2 hours. In one embodiment, if the user recorded in the time statistic information is in the working state for 2 consecutive hours, a corresponding reminding event is triggered. Illustratively, the infrared device collects the user status in real time or every 10 seconds, 1 minute or 3 minutes, and correspondingly marks the office status of the user at the collection time point, if the office status is present, the corresponding mark at the time point is yes, otherwise, the office status is no. The reminding event is an event for reminding the user that the continuous working time is long, and can be a voice prompt, a vibration prompt and the like.
According to the intelligent lifting table, the working state of a user can be monitored, reminding information can be automatically given, the intelligent degree is high, and meanwhile, the intelligent lifting table is beneficial to the healthy work of the user.
On the basis of the technical scheme, the intelligent lifting table further comprises an automatic adjusting function based on sitting posture and standing posture, and the intelligent lifting table specifically comprises the following steps:
when detecting the altitude mixture control instruction of intelligence lift table, acquire user's that the camera was gathered position of sitting image data, the altitude mixture control instruction triggers when detecting that the user is in the position of sitting. Wherein, this camera integration is on the desktop of intelligence lift table for gather user's image data. The height adjustment instruction may be triggered when it is detected that the user is in a sitting posture, and in particular, the detection of the sitting posture may be: the method comprises the steps of acquiring sensing data acquired by a pressure sensor and/or an infrared sensor in real time, and generating a height adjusting instruction if the sensing data meet preset conditions. The pressure sensor can be arranged on the tabletop or the edge of the intelligent lifting table, and when the pressure sensor senses pressing, the pressure sensor is correspondingly determined to meet a preset condition, namely the preset condition is that the pressure sensor detects pressing; the infrared sensor may be integrated at the table leg or below the table top edge, and when occlusion is detected, it is determined that the user is in a sitting position, and a height adjustment command is triggered. Optionally, after detecting the height adjustment instruction of intelligent lift table, still include: popping up a camera device, wherein the camera device comprises a camera and a base, and the camera is started after the camera device is popped up. Wherein, the camera can adopt to hide at the mode of intelligence lift table desktop, corresponding popping out after detecting the altitude mixture control instruction to guarantee the collection quality of making a video recording of camera, the routine maintenance of being convenient for.
And sending the sitting posture image data to a cloud server, and determining corresponding intelligent lifting table adjusting parameters by the cloud server according to the sitting posture image data. In one embodiment, the determining the corresponding intelligent lifting table adjustment parameter according to the sitting posture image data comprises: and carrying out image recognition on the sitting posture image data to obtain a neck image of the user, and determining corresponding intelligent lifting table adjusting parameters according to the neck image of the user. In one embodiment, the determining the corresponding intelligent lifting table adjustment parameter according to the sitting posture image data comprises: and carrying out image recognition on the sitting posture image data to obtain an eye image of the user, determining the current sight angle of the user according to the eye image of the user, and determining the corresponding adjustment parameter of the intelligent lifting table according to the sight angle. In another embodiment, the determining the corresponding adjustment parameter of the intelligent lifting table according to the sitting posture image data includes: and determining corresponding intelligent lifting table adjusting parameters according to the position of the intelligent lifting table relative to the user in the sitting posture image data.
Receiving intelligent lifting table adjusting parameters which are sent by the cloud server and correspond to the sitting posture image data, and adjusting the height of the intelligent lifting table according to the intelligent lifting table adjusting parameters. After the cloud server determines the adjustment parameters, the adjustment parameters are correspondingly sent to the intelligent lifting table, and the adjustment parameters can be specific adjustment values, such as 1cm, 3cm, 5cm and the like. And after the adjusting parameters are determined, automatically adjusting the intelligent lifting table according to the adjusting parameters. Specifically, the adjustment of the height of the intelligent lifting table can be completed through a control device inside the intelligent lifting table.
According to the above, when the height adjusting instruction of the intelligent lifting table is detected, the corresponding adjusting parameters are obtained through the sitting posture image data of the user, the intelligent degree is high, and meanwhile the most healthy sitting posture of the user can be adjusted.
Based on the standing posture:
when detecting the altitude mixture control instruction of intelligence lift table, acquire the user's that camera device gathered image of standing. Wherein, this camera integration is on the desktop of intelligence lift table for gather user's image data. The height adjusting instruction can be triggered manually by a user, triggered by voice, and the like, and illustratively, a button is arranged on the intelligent lifting table, and the height adjusting instruction can be correspondingly triggered after the button is pressed. Optionally, after detecting the height adjustment instruction of intelligent lift table, still include: popping up a camera device, wherein the camera device comprises a camera and a base, and the camera is started after the camera device is popped up. Wherein, the camera can adopt to hide at the mode of intelligence lift table desktop, corresponding popping out after detecting the altitude mixture control instruction to guarantee the collection quality of making a video recording of camera, the routine maintenance of being convenient for.
And the standing image is subjected to image recognition to obtain the height data of the user. The standing image is an image which is collected by a camera and contains the standing posture of a user. In one embodiment, the camera device includes two cameras, and the acquiring a standing image of a user collected by the camera device, and performing image recognition on the standing image includes: the method comprises the steps of respectively obtaining standing images of a user collected by each camera at the same moment, and analyzing the standing images according to a binocular ranging principle to obtain height data of the user. Wherein, this binocular range finding principle can adopt the mode among the prior art to realize in order to obtain user's specific height data. In another embodiment, the image recognition of the standing image to obtain the height data of the user includes: and performing image recognition on the standing image, and determining the height data of the user according to the determined reference object in the standing image and the user image. Wherein, the user can stand by intelligent lift table, and this reference object can be the scale of presetting in intelligent lift table department, and when gathering user's image, the corresponding quilt of this scale is gathered in the image and is used for confirming user's specific height data according to this scale. The specific measurement method can be realized by adopting the mode in the prior art.
And determining corresponding intelligent lifting table adjusting parameters according to the height data, and adjusting the height of the intelligent lifting table according to the intelligent lifting table adjusting parameters. Specifically, the determining of the corresponding adjustment parameters of the intelligent lifting table according to the height data comprises: and determining the corresponding intelligent lifting table adjusting parameters according to the height data and the adjusting parameter table stored in the memory, wherein the memory is integrally installed in the intelligent lifting table. The adjustment parameter table is the most appropriate matching mapping of the height of the intelligent lifting table of the current style obtained according to big data and the height data of the user, illustratively, the height of 175cm is 1.2m corresponding to the height of the intelligent lifting table, and the height of the intelligent lifting table corresponding to 180cm is 1.3m and the like. And after the adjusting parameters are determined, automatically adjusting the intelligent lifting table according to the adjusting parameters. Specifically, the adjustment of the height of the intelligent lifting table can be completed through a control device inside the intelligent lifting table.
According to the content, the height of the intelligent lifting table can be automatically adjusted to the height of a suitable user according to the collected height data of the user, and the intelligent degree is extremely high.
On the basis of the technical scheme, the intelligent lifting table further has the functions of conference recording, card punching and cooperative office work, and specifically comprises the following steps:
a conference recording function:
the voice information of the user is collected through voice equipment, and the voice equipment is integrated on the intelligent lifting table. The voice equipment can be a microphone, is integrated on the desktop of the intelligent lifting table and is used for collecting voice information of a user, the voice information of the user is the speaking content of the user in the meeting process, and the voice information is collected when the intelligent lifting table is held in a meeting.
And identifying the voice information to obtain one or more keywords. In one embodiment, the speech recognition is performed to obtain one or more keywords in the speech information, wherein a specific speech recognition algorithm may employ a speech recognition algorithm in the prior art, and keyword extraction is performed correspondingly after the speech information is recognized, wherein the keyword extraction algorithm may employ an LDA algorithm, a TextRank algorithm, a TPR algorithm, or the like. In another embodiment, the method may include performing text recognition on the voice information, querying through a network whether the recognized text has a corresponding link interpretation, and determining the text with the link interpretation as a keyword, specifically, first performing semantic-based splitting on the recognized text to obtain one or more words and phrases, and querying whether each word and phrase has corresponding interpretative content, which may be, for example, an interpretation provided by encyclopedia, wikipedia, or the like, and if there is corresponding interpretative content, determining the word or phrase as the keyword.
And querying the one or more keywords to obtain corresponding query results, recording the query results and displaying the query results through a display, wherein the display is integrated in the intelligent lifting table. Wherein, intelligence lift table integration has the display, and this display can set up the desktop at intelligence lift table. In an embodiment, after determining the keyword corresponding to the voice information, the keyword is queried to obtain a corresponding query result, optionally, the keyword can be queried from public search platforms such as encyclopedia, wikipedia and the like through a background program, and accordingly, the query result is obtained. In one embodiment, the voice information of each user in the conference is recorded and the extracted keywords are queried to obtain query results by taking the time of the conference as a unit, and the keywords and the query results generated in the conference are sequentially and correspondingly listed and displayed on a display for the user to refer to.
The card punching function:
according to the content, during the meeting, the intelligent lifting table can automatically conduct meeting discussion and keyword search of the lecture content to obtain the query result and automatically store and display the query result, so that the office work is more intelligent, the meeting content is recorded, and the query time of a user is saved.
The working state of a user is determined through a sensing device, the sensing device is integrated in the intelligent lifting table, and the working state comprises an office state and a non-office state. In one embodiment, the working status of the user includes an office status and a non-office status, the office status may be defined as a status of the user when working at the location of the smart elevating table, the smart elevating table may be used as a daily office table of a user, such as white-collar workers and office workers, the user when working uses the smart elevating table to work, and the non-office status may be defined as a status of the user when not working at the smart elevating table. The sensing device can collect the working state of a user, the sensing device is integrated in the intelligent lifting table, the working state can be determined through the sensing device on the tabletop of the intelligent lifting table or at the joint of the tabletop of the intelligent lifting table and table legs in the step by way of example. Specifically, the sensing device may be an infrared sensing device or a camera device, and accordingly, if the infrared device senses that the user exists, it is determined that the working state of the user is an office state, if the infrared device does not sense that the user exists, it is determined that the working state of the user is a non-office state, if an image acquired by the camera device includes a user image, it is determined that the working state of the user is an office state, and if the image acquired by the camera device does not include the user image, it is determined that the working state of the user is a non-office state.
And determining the working time of the user according to the office state and the non-office state. In one embodiment, the work start time and the work end time of the user may be determined in units of days, i.e., the work time refers to the work start time and the work end time of the user. Specifically, the refreshing time can be updated by taking four points in the morning as the working time, namely, the time point of the user in the office state is firstly collected after four points in the morning and is determined as the working starting time, the time of the user in the office state is finally collected before four points in the morning and is determined as the working ending time, illustratively, the user goes to work at 9 points in the morning, the intelligent lifting table determines that the user is in the working state through the sensing device, the 9 points are recorded as the working starting time, the time of the user in the working state is determined through the sensing device at the last time before four points in the morning and is 19 points, and the 19 points are used as the working ending time of the user. Alternatively, the operating state of the user is determined by the sensing means every 1 minute, 3 minutes or 10 minutes.
And generating the working record of the user according to the working time. In one embodiment, the work record may be a collection of work start times and work end times for each day of the user's month. And correspondingly obtaining the work record of the user according to the determined work starting time and work ending time of each day.
According to the intelligent card punching machine, the work records of the user can be automatically generated through the intelligent lifting table, the problems that the user is inconvenient to punch the card and forgets to punch the card are avoided, meanwhile, the whole process is intelligently processed, and the daily work efficiency is improved.
The cooperative office function:
office data information sent by other intelligent lifting table equipment is received through a communication transmission module, and the communication transmission module is integrated in the intelligent lifting table. In one embodiment, each intelligent lifting table device is connected through a wireless network, wherein each intelligent lifting table is integrated with a communication transmission module to realize data communication with other intelligent lifting table devices. Illustratively, there are 20 stations in the office, and each station is equipped with this intelligent lift table, and wherein, communication transmission module integrates in the inside of intelligent lift table, and processor electric connection, this processor is also integrated inside intelligent lift table for carry out data processing and carry out the procedure and realize corresponding program function. The intelligent lifting table is integrated with a character input device and can input office data information through the character input device, and in another embodiment, a display screen integrated with the intelligent lifting table is a touch screen and can input office data information through the display screen.
Determining a display type of the office data information, wherein the display type comprises at least one of a conference type, a material type, a prompt type and a notice type. In one embodiment, after receiving the office data information, the display type of the office data information is determined for subsequent matching display. The display types comprise a conference type, a material type, a prompt type and a notification type, and different types of office data information correspond to different display modes. In the specific type identification process, if the office data information is a character, performing character identification on the office data information, and determining the display type of the office data information according to a character identification result and a preset keyword database; and if the office data information is voice, performing voiceprint recognition and voice recognition on the office data information, and determining the display type of the office data information according to a recognition result. Therefore, the display of the common character recognition is realized, and the voice content can be displayed in time. Specifically, the office data information of the conference type is information content related to the conference, such as conference opening time, participants, a speaker, conference content and the like, and if a corresponding preset keyword is identified in the text identification process, such as a conference, training and the like, the office data information is determined as the conference type.
And displaying information in a corresponding display mode in the display screen integrated with the desktop of the intelligent lifting table according to the display type of the office data information. Wherein, intelligence lift table integration has the display screen, and this display screen is installed on intelligence lift table desktop for show office data information. Office data information of different display types is displayed in different display modes. Optionally, the different display modes may be different text fonts and colors of the display contents. In one embodiment, the inclination angle of the display screen is determined according to the display type of the office data information, the display screen is adjusted to the inclination angle, the office data information is displayed, and the inclination angle is an included angle between the display screen and the desktop of the intelligent lifting table. For example, the variation range of the included angle may be 0 degree to 90 degrees, taking the display type including four types as an example, four variation points may be correspondingly set in the variation range, such as 0 degree, 30 degrees, 60 degrees and 90 degrees, each variation point is a display mode and corresponds to one display type, such as 0 degree corresponding to a material type, 30 degrees corresponding to a reminder type, 60 degrees corresponding to a notification type, and 90 degrees corresponding to a conference type, which is not limited in this application and may be set by a user. In one embodiment, the display screen is connected with the intelligent lifting table through the base, a processor, a memory and the like are integrated in the base, a folding part is arranged at the joint of the display screen and the base, and the folding part can be bent at different angles under the control of the processor, so that the display and the tabletop of the intelligent lifting table are at different angles.
According to the intelligent lifting table, office data information can be displayed in real time, a system can work, corresponding display modes are selected to display according to different display types, a user can know the type of data content to be displayed conveniently, and then corresponding decision is executed.
Further, on the basis of the intelligent lifting table adjustment based on the sitting posture and the standing posture, the intelligent lifting table adjustment method can be combined with the functions of sound and display interface adjustment, and specifically comprises the following steps:
combining sound functions:
when an adjusting instruction of the intelligent lifting table is detected, sound information collected by a microphone is acquired, and the microphone is integrated on the intelligent lifting table. In one embodiment, the microphone is integrated in the smart elevating table, which may be, for example, the center or the edge of the table top of the smart elevating table, and is used to collect sound information around the smart elevating table. The adjusting instruction of the intelligent lifting table is used for indicating to start the height adjustment of the intelligent lifting table, and exemplarily, the adjusting instruction can be triggered by a user touching an adjusting switch of the intelligent lifting table, and can also be triggered by touching a specified area of an integrated touch display screen of the intelligent lifting table.
And identifying the sound information, and if the identification result contains intelligent lifting table adjustment data, determining corresponding adjustment parameters according to the intelligent lifting table adjustment data. In one embodiment, after the microphone collects the sound information, the sound information is correspondingly identified, and if the identification result contains the intelligent lifting table adjustment data, the corresponding adjustment parameters are determined according to the intelligent lifting table adjustment data. Wherein, this intelligence lift table regulation data is for instructing intelligence lift table to carry out height control's data, adjusts data with corresponding the parameter of obtaining regulation through this intelligence lift table. Specifically, the corresponding text content is obtained by recognizing the sound information, and the intelligent lifting table adjusting data may be preset text keywords related to adjustment, such as "raise", "lower", "re-raise point", and the like, that is, if the preset text keywords exist in the recognized text content, it is determined that the sound information includes the intelligent lifting table adjusting data. And when the recognition result is determined to contain the intelligent lifting table adjustment data, correspondingly obtaining corresponding adjustment parameters according to the intelligent lifting table adjustment data, wherein the adjustment parameters can be specific adjustment values, such as 1cm, 3cm, 5cm and the like. In one embodiment, the smart lift table adjustment data may locate a specific distance keyword, such as "1 cm", "3 cm", "5 cm", etc., i.e., the smart lift table adjustment data itself may be directly determined as an adjustment parameter, and if the smart lift table adjustment data is identified, it is used as an adjustment parameter for subsequent adjustment of the height of the smart lift table. In another embodiment, a database is queried according to an adjusting text in the adjusting data of the intelligent lifting table to obtain adjusting parameters corresponding to the adjusting text, wherein the database records different adjusting texts and respective corresponding adjusting parameters, for example, the adjusting text may be "increase one point", "increase more points", "decrease", and the like, and the database records adjusting parameters corresponding to different adjusting texts, such as "increase one point" for +3cm "," increase more points "for +10 cm", and decrease "for-2 cm, and the like (wherein + sign indicates increasing height and-sign indicates decreasing height).
And adjusting the intelligent lifting table according to the adjusting parameters. And after the adjusting parameters are determined, automatically adjusting the intelligent lifting table according to the adjusting parameters. Specifically, the adjustment of the height of the intelligent lifting table can be completed through a control device inside the intelligent lifting table.
According to the scheme, the height adjusting efficiency of the intelligent lifting table is improved, complex operation of a user is not needed, and the intelligent degree is high.
The binding interface function:
and when an adjusting instruction of the intelligent lifting table is detected, an adjusting control interface is displayed. The adjusting instruction of the intelligent lifting table is used for indicating to start the height adjustment of the intelligent lifting table, and exemplarily, the adjusting instruction can be triggered by a user touching an adjusting switch of the intelligent lifting table, and can also be triggered by touching a specified area of an integrated touch display screen of the intelligent lifting table. The adjusting control interface can be displayed on a touch screen of a smart phone or displayed in a display screen integrated with the smart lifting table. The former, intelligence lift table and smart mobile phone pass through bluetooth or wireless network connection.
And acquiring the input user characteristic information, generating an adjusting parameter according to the characteristic information, and filling the adjusting parameter into a preset area of the adjusting control interface. The user characteristic information is used as data for indicating the intelligent lifting table to adjust, after the user characteristic information is acquired, adjusting parameters are generated according to the characteristic information and are filled in a preset area of the adjusting control interface, the adjusting parameters are specific adjusting numerical values, such as 1cm, 3cm, 5cm and the like, the adjusting control interface is an interface for displaying and controlling the intelligent lifting table to adjust the height, and the preset area can be an area where a control used for displaying the adjusting parameters in the adjusting control interface is located. In one embodiment, the adjusting and controlling interface is displayed on a touch display screen integrated with the intelligent lifting table, and the acquiring the entered user characteristic information, generating the adjusting parameters according to the characteristic information, and filling the adjusting parameters into the preset area of the adjusting and controlling interface includes: and acquiring the adjusting parameters input by the user through the touch display screen and filling the adjusting parameters into a preset area of the adjusting control interface, namely, manually inputting the adjusting parameters such as specific adjusting numerical values and adjusting directions (up, down, left and right) through the touch display screen by the user, and further determining the content input by the user as the adjusting parameters. In another embodiment, the acquiring the entered user characteristic information, generating an adjustment parameter according to the characteristic information, and filling the adjustment parameter into a preset area of the adjustment control interface includes: acquiring the input user fingerprint information, generating corresponding adjusting parameters according to the user fingerprint information, and filling the adjusting parameters into a preset area of the adjusting control interface. The intelligent lifting table comprises an intelligent lifting table, a storage device and an adjusting control interface, wherein the intelligent lifting table is integrated with the storage device, the storage device stores fingerprints of different users and corresponding adjusting parameters, the fingerprint data of the current user can be obtained through fingerprint comparison, the adjusting parameters corresponding to the fingerprint data can be obtained through inquiry, and the adjusting parameters are filled in a preset area of the adjusting control interface.
And adjusting the intelligent lifting table according to the adjusting parameters, and displaying the virtual image of the intelligent lifting table in real time by the adjusting control interface. And after the adjusting parameters are determined, automatically adjusting the intelligent lifting table according to the adjusting parameters. Specifically, the adjustment of the height of the intelligent lifting table can be completed through a control device inside the intelligent lifting table. In the adjusting process of the intelligent lifting table, an adjusting control interface displays the virtual image of the intelligent lifting table in real time for a user to observe and refer. The virtual image is a virtual image corresponding to the actual intelligent lifting table, and the size ratio of each component in the virtual image is consistent with the size ratio of each component of the actual intelligent lifting table.
According to the intelligent lifting table, the height of the intelligent lifting table can be adjusted based on the adjusting control interface, the adjusting mode is simple and convenient, the intelligent degree is high, meanwhile, the virtual image of the intelligent lifting table can be displayed in real time, and the user can conveniently observe the intelligent lifting table in a reference mode.
Fig. 6 is a structural block diagram of an intelligent lifting table camera shooting reminding device provided in an embodiment of the present application, where the device is used for executing the intelligent lifting table camera shooting reminding method provided in the above embodiment, and has corresponding functional modules and beneficial effects of the execution method. As shown in fig. 6, the apparatus specifically includes: a collecting unit 101, a recognition unit 102 and a reminding unit 103, wherein,
the acquisition unit 101 is used for acquiring image information of a user through a camera device, and the camera device is integrated on the intelligent lifting table.
In one embodiment, the camera device is arranged on the desktop of the intelligent lifting table, when a user sits in front of the intelligent lifting table, the image of the user can be correspondingly collected, and if the user is not beside the intelligent lifting table, the image of the user cannot be collected.
Correspondingly, before the image information of the user is acquired through the camera device, the method further comprises the following steps: when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table. Wherein, this pressure sensor integration is in intelligent lift table, and is optional, integrated at the desktop edge of intelligent lift table, when it detects to be pressed, corresponding camera device of opening is in order to carry out image acquisition. Optionally, the camera device is turned off correspondingly for acquiring the user image in 1 hour of the camera device. In one embodiment, the pressure sensor is disposed at a specific position of the intelligent lifting table, the specific position can be marked by a corresponding mark, for example, a color block with a color different from the overall color of the table top of the intelligent lifting table is marked, and a user can manually press the mark to turn on the camera device.
The recognition unit 102 is configured to recognize the image information and determine whether the user is in an unhealthy posture.
In one embodiment, the identification of the captured image is used to determine whether the user is in an unhealthy state, which may be an unhealthy sitting state. Specifically, the identifying the image information and judging whether the user is in an unhealthy posture includes: and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model. The preset training model is obtained by training sitting posture pictures of a plurality of big data users, the model takes the sitting posture pictures of the users as input and can correspondingly output a result of whether the sitting postures are correct or not, if the sitting postures are correct, the corresponding users are in a healthy state, and if the sitting postures are incorrect, the corresponding users are in an unhealthy state.
In another embodiment, the recognizing the image information and determining whether the user is in an unhealthy posture comprises: and identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image. Illustratively, the bending angle of the neck relative to the tabletop of the intelligent lifting table is obtained through neck image recognition, if the neck and the tabletop of the intelligent lifting table are in a vertical state or within a range of plus or minus 10 degrees of 90 degrees, the neck and the tabletop of the intelligent lifting table are in a healthy posture, otherwise, the neck and the tabletop of the intelligent lifting table are in an unhealthy posture.
And the reminding unit 103 is used for triggering a reminding event if the user is detected to be in the unhealthy posture.
Wherein a reminder event is triggered when the user is in an unhealthy posture. Optionally, the reminder event may be triggered when the user is detected to be in an unhealthy posture for a preset threshold (e.g., 20 minutes). The reminding event is used for reminding the user to correct the unhealthy posture and keep the correct sitting posture, and can be a voice prompt, a vibration prompt and the like.
According to the intelligent lifting table, whether the user is in a healthy posture or not is judged by collecting the image information of the user, and corresponding reminding is performed once the user is in an unhealthy posture.
Optionally, the identification unit is specifically configured to:
identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model; or
And identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image.
Optionally, the acquisition unit is further configured to:
before the image information of the user is acquired through the camera device, the camera device is started when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table.
Optionally, the reminding unit is specifically configured to:
and if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table.
Optionally, the reminding unit is further configured to:
after the image information is identified and whether the user is in an unhealthy posture is judged, the continuous working time of the user is determined according to the time of the user image information acquired by the camera, and if the continuous working time is longer than the preset time, a reminding event is triggered.
This embodiment provides an intelligence lift table on the basis of each above-mentioned embodiment, fig. 6 is a schematic structural diagram of an intelligence lift table that this application embodiment provided, as shown in fig. 6, this intelligence lift table includes: a table top 10, legs 11 and openings 20. The opening 20 can be provided with a camera device, specifically, a hidden design can be adopted, and the camera device is correspondingly ejected when being called. The table legs 11 can be extended or contracted according to the control of a controller (not marked in the drawing) so as to adjust the height of the intelligent lifting table.
It should be understood that the illustrated smart lift table is merely one example of a smart lift table, and that a smart lift table may have more or fewer components than shown in the figures, may combine two or more components, or may have a different configuration of components. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
The embodiment of the present application further provides a storage medium containing an intelligent lifting table executable instruction, where the intelligent lifting table executable instruction is used to execute an intelligent lifting table camera shooting reminding method when executed by an intelligent lifting table processor, and the method includes:
acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table;
identifying the image information and judging whether the user is in an unhealthy posture;
if the user is detected to be in an unhealthy posture, a reminder event is triggered.
In one possible embodiment, before the acquiring, by the camera device, the image information of the user, the method further includes:
when the pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table.
In one possible embodiment, the recognizing the image information and determining whether the user is in an unhealthy posture includes:
and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model.
In one possible embodiment, the recognizing the image information and determining whether the user is in an unhealthy posture includes:
and identifying the image information to obtain a neck image of the user, and determining whether the user is in an unhealthy posture according to the neck image.
In one possible embodiment, the triggering a reminder event if the user is detected to be in an unhealthy posture includes:
and if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table.
In a possible embodiment, after the recognizing the image information and determining whether the user is in an unhealthy posture, the method further includes:
determining the continuous working time of the user through the time of the user image information acquired by the camera, and triggering a reminding event if the continuous working time is longer than the preset time.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the operations of the intelligent lifting table image capturing reminding method described above, and may also execute the related operations in the intelligent lifting table image capturing reminding method provided in any embodiments of the present application.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (7)
1. The utility model provides an intelligence lift table warning method of making a video recording which characterized in that includes:
when the fact that the tabletop of the intelligent lifting table is pressed is detected through the pressure sensor, the camera device is started, and the pressure sensor is integrated on the edge of the tabletop of the intelligent lifting table;
acquiring image information of a user through a camera device, wherein the camera device is integrated on the intelligent lifting table;
identifying the image information, and judging whether the user is in an unhealthy posture, wherein the step of identifying the image information to obtain a neck image of the user is included, and whether the user is in the unhealthy posture is determined according to the neck image;
if the user is detected to be in an unhealthy posture, determining the continuous working time of the user through the time of user image information acquired by a camera device, and if the continuous working time is longer than the preset time, triggering a reminding event;
when a height adjusting instruction of the intelligent lifting table is detected, sitting posture image data of a user are obtained through a camera device, the sitting posture image data are sent to a cloud server, so that the cloud server conducts image recognition on the sitting posture image data to obtain a user neck image, corresponding intelligent lifting table adjusting parameters are determined according to the user neck image, image recognition is conducted on the sitting posture image data to obtain a user eye image, the current sight angle of the user is determined according to the user eye image, and the corresponding intelligent lifting table adjusting parameters are determined according to the sight angle.
2. The method of claim 1, wherein the identifying the image information and determining whether the user is in an unhealthy posture comprises:
and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model.
3. The method of any of claims 1-2, wherein triggering a reminder event if the user is detected in an unhealthy posture comprises:
and if the user is detected to be in an unhealthy posture, displaying a reminding event through a touch display screen integrated with the intelligent lifting table.
4. The utility model provides an intelligence lift table reminding device that makes a video recording which characterized in that includes:
the intelligent lifting table comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for starting a camera device when a pressure sensor detects that the tabletop of the intelligent lifting table is pressed, the pressure sensor is integrated at the edge of the tabletop of the intelligent lifting table, image information of a user is acquired through the camera device, and the camera device is integrated on the intelligent lifting table;
the identification unit is used for identifying the image information and judging whether the user is in an unhealthy posture, wherein the identification unit is used for identifying the image information to obtain a neck image of the user and determining whether the user is in the unhealthy posture according to the neck image;
the reminding unit is used for determining the continuous working time of the user through the time of user image information acquired by the camera device if the user is detected to be in an unhealthy posture, and triggering a reminding event if the continuous working time is longer than a preset time;
when a height adjusting instruction of the intelligent lifting table is detected, sitting posture image data of a user are obtained through a camera device, the sitting posture image data are sent to a cloud server, so that the cloud server conducts image recognition on the sitting posture image data to obtain a user neck image, corresponding intelligent lifting table adjusting parameters are determined according to the user neck image, image recognition is conducted on the sitting posture image data to obtain a user eye image, the current sight angle of the user is determined according to the user eye image, and the corresponding intelligent lifting table adjusting parameters are determined according to the sight angle.
5. The apparatus according to claim 4, wherein the identification unit is specifically configured to:
and identifying the image information and outputting a judgment result of whether the user is in an unhealthy posture or not through a preset training model.
6. An intelligent lifting table comprising: processor, memory and computer program stored on and executable on the memory, characterized in that the processor implements the method of intelligent elevating table camera alert as claimed in any of claims 1-3 when executing the computer program.
7. A storage medium containing smart elevated table executable instructions which, when executed by a smart elevated table processor, are operable to perform the smart elevated table camera reminder method of any one of claims 1-3.
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| CN110989885A (en) * | 2019-11-30 | 2020-04-10 | 北京一起教育信息咨询有限责任公司 | Eye protection control method and device, mobile device and electronic device |
| CN113455814A (en) * | 2020-03-31 | 2021-10-01 | 阿里巴巴集团控股有限公司 | Table (Ref. Table) |
| CN111601088B (en) * | 2020-05-27 | 2021-12-21 | 大连成者科技有限公司 | Sitting posture monitoring system based on monocular camera sitting posture identification technology |
| CN111899490A (en) * | 2020-06-22 | 2020-11-06 | 广东电网有限责任公司梅州供电局 | Multifunctional display equipment capable of preventing occupational diseases and electronic equipment |
| CN112545167A (en) * | 2020-12-28 | 2021-03-26 | 惠州市金力智能科技有限公司 | Domestic intelligent study table chair with position of sitting management |
| CN113965737A (en) * | 2021-08-31 | 2022-01-21 | 乐歌人体工学科技股份有限公司 | Intelligent health monitoring method and system based on intelligent lifting table |
| CN115281446A (en) * | 2022-07-25 | 2022-11-04 | 美勒森家居科技有限公司 | Control method and system of intelligent office table and terminal equipment |
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