CN115131625A - Self-service counter machine and method for adjusting posture of self-service counter machine - Google Patents
Self-service counter machine and method for adjusting posture of self-service counter machine Download PDFInfo
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Abstract
The application provides a self-service counter machine and a method for adjusting the posture of the self-service counter machine, wherein the self-service counter machine comprises an information collection module used for collecting image information of a current user; the target detection module is used for identifying image information by using a body type identification model obtained by pre-training to obtain body type information of a current user; the body shape information at least comprises height information; the information analysis module is used for analyzing the body type information to obtain the machine height matched with the body type information; and the counter control module is used for controlling the operation panel of the self-service counter machine to move to the height of the self-service counter machine. The self-service sales counter of this scheme can make its adaptation current user's height according to the operating panel of self-service counter machine of user's height information automatic rising to improve user's use and experience.
Description
Technical Field
The invention relates to the technical field of self-service counter machines, in particular to a self-service counter machine and a method for adjusting the posture of the self-service counter machine.
Background
In order to reduce counter service and save labor and time cost, a self-service counter machine is usually arranged at each branch of a commercial bank to realize self-service operation of various businesses, but the businesses are numerous, such as deposit, withdrawal, card transaction, account transfer, personal information modification and the like. Attributes such as heights and body postures of different users are different, and the fixed height of the conventional self-service counter machine is difficult to adapt to the difference, so that the self-service counter machine is easy to cause physical discomfort when a user (bank staff or a client) operates the self-service counter machine for a long time, and the user experience is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a self-service counter machine and a method for adjusting the posture of the self-service counter machine, so that the height of the self-service counter machine is adaptively adjusted according to the specific situation of the current user, and the use experience of the user is improved.
This application first aspect provides a self-service counter machine, includes:
the information collection module is used for collecting the image information of the current user;
the target detection module is used for identifying the image information by using a body type identification model obtained by pre-training to obtain the body type information of the current user; wherein the body shape information at least comprises height information;
the information analysis module is used for analyzing the body type information to obtain the machine height matched with the body type information;
and the counter control module is used for controlling the operation panel of the self-service counter machine to move to the height of the machine.
Optionally, the target detection module is further configured to:
recognizing the image information by using a pre-trained target recognition model to obtain the relative orientation information of the current user and the self-service counter machine;
the counter control module is further used for rotating the operation panel according to the relative direction information to enable the operation panel to be over against the direction of the current user.
Optionally, the target detection module is further configured to:
recognizing the image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user;
the information analysis module is used for analyzing the people number information to determine whether the current user has a snooping risk;
the counter control module is further used for rotating the operation panel to enable the operation panel to deviate from the current user position when the current user is determined to be at a risk of being snooped.
Optionally, the operation panel is mounted on the electric lifting rod; the driving motor of the electric lifting rod is connected with the cabinet surface control module;
the counter control module controls the operation panel of the self-service counter machine to move to the height of the machine, and is specifically used for:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
Optionally, the information acquisition module is further configured to:
and acquiring an environment image in real time, and executing the step of acquiring the image information of the current user when the user is identified to be close to the environment image.
Optionally, the information collecting module is further configured to capture a face image of the current user; the facial image is used for carrying out face recognition on the current user.
The second aspect of the present application provides a method for adjusting a posture of a self-service counter machine, which is applied to the self-service counter machine, and the method includes:
collecting image information of a current user;
recognizing the image information by using a body type recognition model obtained by pre-training to obtain the body type information of the current user; wherein the body shape information at least comprises height information;
analyzing the body type information to obtain the machine height matched with the body type information;
and controlling an operation panel of the self-service counter machine to move to the height of the self-service counter machine.
Optionally, the method further includes:
recognizing the image information by using a pre-trained target recognition model to obtain the relative orientation information of the current user and the self-service counter machine;
the counter control module is further used for rotating the operation panel according to the relative direction information to enable the operation panel to be over against the direction of the current user.
Optionally, the method further includes:
recognizing the image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user;
the information analysis module is used for analyzing the people number information to determine whether the current user has a snooping risk;
the counter control module is further used for rotating the operation panel to enable the operation panel to deviate from the current user position when the current user is determined to be at a risk of being snooped.
Optionally, the controlling the operation panel of the self-service counter machine to move to the machine height includes:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
Optionally, before acquiring the image information of the current user, the method further includes:
and acquiring an environment image in real time, and executing the step of acquiring the image information of the current user when the user is identified to be close to the environment image.
The application provides a self-service counter machine and a method for adjusting the posture of the self-service counter machine, wherein the self-service counter machine comprises an information collection module used for collecting image information of a current user; the target detection module is used for identifying image information by using a body type identification model obtained by pre-training to obtain body type information of a current user; the body shape information at least comprises height information; the information analysis module is used for analyzing the body type information to obtain the machine height matched with the body type information; and the counter control module is used for controlling the operation panel of the self-service counter machine to move to the height of the self-service counter machine. The self-service sales counter of this scheme can make its adaptation current user's height according to the operating panel of self-service counter machine of user's height information automatic rising to improve user's use and experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic model diagram of a self-service counter machine according to an embodiment of the present disclosure;
fig. 2 is a method for adjusting the posture of a self-service counter machine according to an embodiment of the present disclosure;
fig. 3 is another method for adjusting the posture of a self-service counter machine according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
To facilitate an understanding of the invention, terms to which the invention may be directed are first briefly described.
YOLOv5 network: a network model for detecting targets based on deep learning can successfully identify and mark targets in pictures or videos by training target samples.
When the existing network machine transacts a plurality of businesses, the existing network machine often cannot be well customized according to the height of each person, so that the body is uncomfortable, and for people with disabilities on both legs, the machine is more difficult to use, and the transaction process of the machine is more difficult to check; the screen has only one orientation, and information leakage is easily caused when business is transacted.
The self-service counter machine capable of being lifted and rotated based on deep learning is provided, a teller or a customer only needs to stand in front of a camera of the counter machine, the counter machine can judge according to high-level data, and the counter machine is adjusted to be at a proper height; to the screen angle, the customer can rotate at will, adjusts to suitable angle, prevents other people from peeping, can improve user experience greatly like this, also is friendly enough to the disabled patient.
Example one
Please refer to fig. 1, which is a self-service counter machine according to an embodiment of the present disclosure. As shown in fig. 1, the self-service counter machine includes an electric lifting rod 101, a rotating mechanism 102, an operation panel 103, an information collecting module 104, an object detecting module 105, an information analyzing module 106, and a counter control module 107.
It should be noted that the operation panel described in this embodiment may include a touch display screen (or a non-touch display screen) and a plurality of keys, and a user inputs a corresponding operation instruction by clicking the keys; or, the operation panel may only include one touch display screen, and the user inputs a corresponding operation instruction by clicking a virtual button or a control on the touch display screen.
The information collection module 104, the target detection module 105, the information analysis module 106, and the counter control module 107 may be software modules included in the control system of the self-service counter.
And the information collection module is used for collecting the image information of the current user.
Optionally, in order to improve security, the information collection module is further configured to capture a facial image of the current user; the face image is used for carrying out face recognition on the current user.
If the face recognition is passed, the self-service counter machine is started and provides service for the current user, and if the face recognition is not passed, the self-service counter machine is kept in a standby state and does not provide service for the current user.
The information collection module may begin collecting image information for the current user when the following occurs.
In the first situation, the self-service counter machine can keep a dormant state when being used by no person, when any user clicks any key on an operation panel of the self-service counter machine, the self-service counter machine enters an awakening state, and when the self-service counter machine enters the awakening state from the dormant state, the information collection module starts to collect image information of the current user.
In the second case, the information collecting module collects the environmental image in real time, and when a user is identified to approach the environmental image, the step of collecting the image information of the current user is executed.
Specifically, the information collection module may configure a portrait recognition model, based on which the information collection module takes images of the surrounding environment in real time (i.e., at regular intervals) and recognizes whether there is a user in the images of the surrounding environment. If the same user can be identified in the environment images continuously shot by the information collection module for several times, the information collection module can think that the user is about to approach and use the self-service counter machine, and then the action of collecting the image information of the current user is executed.
The advantage of collecting the image information of the current user based on the second condition is that the operation panel of the self-service counter can be moved to a height suitable for the current user before the user does not start using the self-service counter, so that the use experience of the user is improved to the maximum extent.
It should be noted that the image information of the current user collected by the information collection module may be a frame obtained by shooting and containing a photo of the current user, or may be a section of video obtained by shooting and containing the current user.
Further, in some optional embodiments, in order to improve the accuracy of the current user body type information obtained by subsequent analysis, the self-service counter machine of the present application may include a plurality of cameras. Correspondingly, when the information collection module collects the image information of the current user, a plurality of cameras can be called simultaneously to collect the image information, so that a plurality of pieces of image information of the current user at different angles can be obtained.
And the target detection module is used for identifying the image information by using the body type identification model obtained by pre-training to obtain the body type information of the current user.
Wherein the body shape information at least comprises height information.
The body type recognition model configured by the target detection module may be a pre-trained neural network model or a machine learning model, which is not limited in the embodiment of the present application.
For example, the body type recognition model may be a pre-trained neural network model, such as the YOLOv5 network model. The specific training method of the body type recognition model can be as follows.
The information collection module shoots image information of multiple persons, meanwhile bank workers manually input body type information (such as height, weight and the like) of the persons, the body type information of the persons can be obtained by measuring the image information and the corresponding body type information through corresponding measuring instruments, the target detection module takes the image information and the corresponding body type information as training samples, iterative training is carried out on a pre-constructed initial neural network model, training is finished until the neural network model converges, and at the moment, the neural network model can be used as the body type recognition model.
In some optional embodiments, in order to ensure the accuracy of the body type recognition model, the bank staff may provide new training samples periodically, and after each new training sample is provided, the target detection module updates the old body type recognition model by using the new training sample to obtain a new body type recognition model.
And the information analysis module is used for analyzing the body type information to obtain the machine height matched with the body type information.
The specific analysis method can be determined according to the specific content of the body type information.
In a first aspect, when the body type information only includes height information, the information analysis module may determine a machine height matching the body type information based on a preset correspondence between the body type information and the machine height.
In a second aspect, when the body shape information includes multiple items of information, such as height information, weight information, and posture information, the information analysis module may analyze the body shape information using a pre-constructed classifier to determine a matching machine height.
In the case of the first aspect, the bank staff may preset a corresponding relationship between height and machine height, and the corresponding relationship may be recorded in the information analysis module in the form of a table. The corresponding relationship may specifically include a plurality of height intervals, and a machine height value corresponding to each height interval, for example, a height interval of 1.5 to 1.6 meters, and the corresponding machine height may be 1 meter, and so on.
Based on the set corresponding relationship, when analyzing the body type information, the information analysis module can find out a body height section to which the body height information of the current user belongs from a plurality of body height sections of the corresponding relationship, and then determine the machine height corresponding to the body height section as the machine height matched with the body type information of the current user.
In the case of the second aspect, the bank staff may input a plurality of analysis samples in advance, each analysis sample including a set of body type information (i.e., height, weight and posture information of a user) and including a machine height matching the set of body type information (the value is set by the bank staff empirically).
Based on the analysis samples, the information analysis module runs a machine learning algorithm to learn the analysis samples, so as to construct a classifier. The classifier can classify any group of body type information into one of a plurality of preset classes, and each preset class corresponds to a machine height value.
After the classifier is built, when the target detection module provides the body type information of the current user for the information analysis module, the information analysis module can input the body type information into the classifier, so that the height of the machine matched with the body type information of the current user is determined.
And the counter control module is used for controlling the operation panel of the self-service counter machine to move to the height of the machine.
Optionally, the operation panel is mounted on the electric lifting rod; the driving motor of the electric lifting rod is connected with the cabinet surface control module;
when the operating panel of counter control module control self-service counter machine removed to the machine height, specifically be used for:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
The counter control module can control the height of the operation panel in various ways, and the specific control way is not limited in this embodiment.
As an example, the counter control module may control the height of the operation panel by controlling the operation time of the driving motor.
Specifically, the electric lifting rod is provided with a height sensor, the counter control module can obtain the current height of the operation panel through the height sensor, and then the moving distance of the operation panel is determined according to the current height of the operation panel and the machine height provided by the information analysis module, namely the machine height can be reached by determining the height of the operation panel by lifting or lowering the operation panel.
On this basis, the counter control module can determine the target running time and running direction (forward rotation or reverse rotation) of the driving motor according to the mapping relation between the preset moving distance and the motor running time, namely, determine how long the driving motor needs to rotate forward or reverse to enable the operation panel to move up and down.
And finally, the counter control module sends a control signal containing the target running time and the running direction to the driving motor, and the driving motor responds to the control signal and runs according to the specified target running time and running direction, so that the operation surface is moved to the height of the machine.
Example two
In some optional embodiments, the self-service counter machine of this embodiment may further automatically rotate the orientation of the operation panel according to the position where the user is located, so that the user may directly use the operation panel without a body, and the use experience of the user is further improved.
Optionally, the target detection module is further configured to:
recognizing image information by using a pre-trained target recognition model to obtain the relative orientation information of the current user and the self-service counter machine;
the counter control module is also used for rotating the operation panel according to the relative direction information, so that the operation panel is over against the direction of the current user.
The specific implementation manner of the above embodiment is as follows:
the target detection module identifies the position of the current user in the image information, for example, whether the current user is located on the left side, the right side or the middle of the image, by using the target identification model.
After the position of the current user in the image information is determined, the target detection module combines the installation position of the camera which obtains the image information in the self-service counter machine (the information is configured in the self-service counter machine in advance) to determine the relative direction information of the current user and the self-service counter machine.
For example, the target detection module determines the position of the current user at 50 degrees on the left side of the operation panel of the self-service counter machine according to the information.
After the relative azimuth information is obtained, the target detection module sends the relative azimuth information to the counter control module, and the counter control module determines the rotation angle of the operation panel according to the relative azimuth information.
And finally, the counter control module sends a rotation control signal containing the rotation angle to a rotating motor of the self-service counter machine, and the rotating motor is connected with the rotating mechanism. After the rotating motor receives the rotating control signal, the operating panel is rotated according to the rotating angle of the rotating motor, and finally the operating panel is rotated to the position of the current user.
EXAMPLE III
In some optional embodiments, the self-service counter machine of this embodiment may further automatically identify whether the number of people in the location of the user is too many, and if the number of people is too many, automatically rotate the operation panel to make the operation panel deviate from the location of the user, thereby preventing the information on the operation panel from being snooped when the user uses the self-service counter machine, and ensuring privacy safety of the user.
Optionally, the target detection module is further configured to:
and recognizing the image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user.
The target recognition model can recognize how many persons except the current user exist in the image information, and the recognition result is the information of the number of persons in the direction of the current user.
And the information analysis module is used for analyzing the information of the number of people so as to determine whether the current user has a snooping risk or not.
An alternative analysis mode is that a snooped threshold is preset in the information analysis module, and the threshold is a positive integer. If the information analysis module judges that the number of people information is greater than the snooped threshold value, the current user is determined to have the snooped risk, and if the information analysis module judges that the number of people information is not greater than the snooped threshold value, the current user is determined not to have the snooped risk.
The counter control module is also used for rotating the operation panel to enable the operation panel to deviate from the current user direction when the current user is determined to be at a risk of being snooped.
It is understood that the functions of the second embodiment and the third embodiment may be configured in the self-service counter at the same time, and the scheme in which the embodiment is specifically adopted may be determined by the counter control module of the self-service counter as follows.
The counter control module identifies current time information and position information, if the current time information is located in a preset unsafe time period or the position information is located in a preset unsafe area, the counter control module controls the orientation of the operation panel according to the scheme of the third embodiment to protect privacy and safety of a user, and if the current time information is located in the preset safe time period and the position information is located in the preset safe area, the counter control module controls the orientation of the operation panel according to the scheme of the second embodiment to bring convenience to the user to use the self-service counter machine to the maximum extent.
In some optional embodiments, the orientation and height of the operation panel can be adjusted by the user.
Specifically, the control for adjusting the orientation and the height can be arranged on the operation panel, and a user can manually adjust the operation panel to the orientation and the height suitable for the user through the control for adjusting the orientation and the height.
In particular, if the user makes manual conditions for the orientation and height, the self-service counter may record the orientation and height of the user after manual adjustment, and when the user is identified again to use the self-service counter, the counter control module may adjust the orientation and height of the operation panel according to the previously recorded orientation and height after manual adjustment.
In some optional embodiments, in order to reduce the moving distance of the user, the self-service counter machine provided by the embodiment may further be provided with four universal wheels driven by the motor at the bottom.
Based on this, the target detection module of the self-service counter machine can further determine the distance information between the current user and the self-service counter machine according to the image information of the current user, and then provide the distance information to the counter control module.
And after obtaining the distance information, the counter control module judges whether the distance information is greater than a preset distance threshold value. If the distance information is not greater than the distance threshold, the self-service counter machine remains unmoved at the current location. If the distance information is larger than the distance threshold value, the counter control module controls a motor of the universal wheel to enable the self-service counter machine to move towards the direction of the user, the target detection module detects the distance information between the user and the self-service counter machine in real time through image information during moving, and the counter control module controls the universal wheel to stop until the distance information between the self-service counter machine and the current user is smaller than or equal to the distance threshold value.
Through the embodiment, the self-service counter machine can automatically move to the user needing to use the self-service counter machine, so that the user who is inconvenient to move can use the self-service counter machine more quickly, and the use experience of the user who is inconvenient to move is improved.
Further optionally, the function of automatically moving to the user may be limited to be enabled only when it is determined that the current user is inconvenient to move, and not enabled if the current user is convenient to move. Whether the current user movement is convenient may be determined by recognizing whether an auxiliary movement tool is included in the image information of the current user.
For example, if the target detection module identifies auxiliary moving tools such as a wheelchair and a crutch in the image information of the current user, it is determined that the current user is inconvenient to move, and if the auxiliary moving tools are not identified, it is determined that the current user is convenient to move.
According to the invention, a deep learning target detection technology is utilized, and the target detection module and the information analysis module are deployed on the self-service counter machine of the bank outlet, so that the self-service counter machine can freely lift and rotate along with the body type difference of different users, personalized service for different customers is realized, the trouble that the disabled customers cannot check the transaction process in the whole process is solved, the fatigue of operating the machine for a long time is relieved, good user experience can be brought to the customers, the workload of tellers is relieved, the counter-machine-oriented counter-machine system is wider, and the economic benefit of banks is improved.
An embodiment of the present application further provides a method for adjusting a posture of a self-service counter, which is applied to a self-service counter, please refer to fig. 2, and is a flowchart of the method, where the method includes:
s201, collecting image information of a current user.
And S202, recognizing the image information by using the body type recognition model obtained by pre-training to obtain the body type information of the current user.
Wherein the body shape information at least comprises height information.
And S203, analyzing the body type information to obtain the machine height matched with the body type information.
And S204, controlling the operation panel of the self-service counter machine to move to the height of the self-service counter machine.
Optionally, the method further comprises:
recognizing image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user;
the information analysis module is used for analyzing the information of the number of people so as to determine whether the current user has a snooped risk;
the counter control module is also used for rotating the operation panel to enable the operation panel to deviate from the current user direction when the current user is determined to be at a risk of being snooped.
Optionally, the operation panel of the self-service counter machine is controlled to move to the machine height, including:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
Optionally, before acquiring the image information of the current user, the method further includes:
and acquiring an environment image in real time, and executing the step of acquiring the image information of the current user when the current user is identified in the environment image.
An embodiment of the present application further provides a method for adjusting a posture of a self-service counter machine, please refer to fig. 3, which is a flowchart of the method, and the method may include the following steps.
S301, collecting image information of the current user.
S302, recognizing image information by using a pre-trained target recognition model to obtain the relative orientation information of the current user and the self-service counter machine.
And S303, rotating the operation panel according to the relative direction information to ensure that the operation panel is over against the direction of the current user.
The specific implementation manner of each step in the method for adjusting the posture of the self-service counter machine provided in this embodiment and the beneficial effects of this embodiment can refer to the working principle of the self-service counter machine provided in the foregoing embodiments, and are not described herein again.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
Those skilled in the art can make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (11)
1. A self-service counter machine, comprising:
the information collection module is used for collecting the image information of the current user;
the target detection module is used for identifying the image information by using a body type identification model obtained by pre-training to obtain the body type information of the current user; wherein the body shape information at least comprises height information;
the information analysis module is used for analyzing the body type information to obtain the machine height matched with the body type information;
and the counter control module is used for controlling the operation panel of the self-service counter machine to move to the height of the machine.
2. The self-service counter machine of claim 1, wherein the object detection module is further to:
recognizing the image information by using a pre-trained target recognition model to obtain the relative direction information of the current user and the self-service counter machine;
the counter control module is further used for rotating the operation panel according to the relative direction information to enable the operation panel to be over against the direction of the current user.
3. The self-service counter machine of claim 1, wherein the target detection module is further to:
recognizing the image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user;
the information analysis module is used for analyzing the information of the number of people so as to determine whether the current user has a snooping risk or not;
the counter control module is further used for rotating the operation panel to enable the operation panel to deviate from the current user position when the current user is determined to be at a risk of being snooped.
4. The self-service counter machine according to claim 1, wherein the operating panel is connected to an electrically powered lifter; the driving motor of the electric lifting rod is connected with the cabinet surface control module;
the counter control module controls the operation panel of the self-service counter machine to move to the height of the machine, and is specifically used for:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
5. The self-service counter machine of claim 1, wherein the information collection module is further configured to:
and acquiring an environment image in real time, and executing the step of acquiring the image information of the current user when the user is identified to be close to the environment image.
6. The self-service counter machine of claim 1, wherein the information collection module is further configured to capture a facial image of a current user; the facial image is used for carrying out face recognition on the current user.
7. A method for adjusting the posture of a self-service counter machine is characterized by being applied to the self-service counter machine, and comprises the following steps:
collecting image information of a current user;
recognizing the image information by using a body type recognition model obtained by pre-training to obtain the body type information of the current user; wherein the body shape information at least comprises height information;
analyzing the body type information to obtain the machine height matched with the body type information;
and controlling an operation panel of the self-service counter machine to move to the height of the self-service counter machine.
8. The method of claim 7, further comprising:
recognizing the image information by using a pre-trained target recognition model to obtain the relative orientation information of the current user and the self-service counter machine;
the counter control module is further used for rotating the operation panel according to the relative direction information to enable the operation panel to be over against the direction of the current user.
9. The method of claim 7, further comprising:
recognizing the image information by using a pre-trained target recognition model to obtain the information of the number of people in the direction of the current user;
the information analysis module is used for analyzing the people number information to determine whether the current user has a snooping risk;
the counter control module is further used for rotating the operation panel to enable the operation panel to deviate from the current user position when the current user is determined to be at a risk of being snooped.
10. The method of claim 7, wherein the controlling movement of the operating panel of the kiosk to the machine height comprises:
and sending a control signal to the driving motor to enable the driving motor to drive the electric lifting rod to lift, so that the operation panel is controlled to move to the height of the machine.
11. The method of claim 7, wherein the capturing image information of the current user further comprises:
and acquiring an environment image in real time, and executing the step of acquiring the image information of the current user when the user is identified to be close to the environment image.
Priority Applications (1)
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| CN202210747743.XA CN115131625A (en) | 2022-06-29 | 2022-06-29 | Self-service counter machine and method for adjusting posture of self-service counter machine |
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| CN202210747743.XA CN115131625A (en) | 2022-06-29 | 2022-06-29 | Self-service counter machine and method for adjusting posture of self-service counter machine |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117001681A (en) * | 2023-07-11 | 2023-11-07 | 湖南华宽通科技股份有限公司 | Lobby robot with automatic adjusting function |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117001681A (en) * | 2023-07-11 | 2023-11-07 | 湖南华宽通科技股份有限公司 | Lobby robot with automatic adjusting function |
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