Non-contact intelligent elevator calling registration system and device

Abstract

The invention discloses a non-contact intelligent elevator calling registration system and device, relates to the technical field of elevator control, solves the problem that the technical maturity of an original elevator calling mode needs to be improved, and realizes non-contact elevator calling through a visual monitoring end arranged at the position of an elevator button. People are prevented from being in direct contact with elevator buttons, the risk that bacteria, viruses and the like are transmitted through contact is effectively reduced, and especially in the infectious disease prevention and control period, a safer elevator taking environment can be provided for passengers; through real-time processing of an elevator calling gesture picture, a unique picture comparison and gradient analysis method is applied, and a moving object and the moving process of the moving object can be accurately recognized from a monitoring picture; for example, by comparing adjacent frames of pictures to determine a variation picture and a feature region and then utilizing gradient analysis to determine the edge contour of a moving object, the recognition of the elevator calling gesture is more accurate through a series of operations, and the possibility of misjudgment is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator control, and particularly to a non-contact intelligent elevator call registration system and device. Background Art

[0002] An elevator refers to a permanent transportation device that serves several specific floors in a building, and its car moves on at least two rigid tracks perpendicular to the horizontal plane or with an inclination angle less than 15° to the plumb line. There are also step-type ones, where the tread plates are installed on the tracks and run continuously, commonly known as escalators or moving sidewalks. It is a fixed lifting device that serves the specified floors. A vertical elevator has a car that moves between at least two vertical or inclined rigid guide rails with an inclination angle less than 15°. The car size and structure form are convenient for passengers to enter and exit or load and unload goods.

[0003] The application with the publication number CN104444645B discloses a non-contact intelligent elevator call registration system, which includes an instruction output module for elevator call or registration. The signal output end of the instruction output module is connected to an intelligent control circuit that executes the up and down elevator call or registration instructions. It also includes a wireless interaction system, and the signal output end of the wireless interaction system is connected to the instruction output module; the wireless interaction system includes a signal transmitting device that transmits elevator call or registration instructions and a signal receiving device. The signal transmitting device is wirelessly communicatively connected to the signal receiving device, and the signal output end of the signal receiving device is connected to the instruction output module; the signal receiving device is located on the call box or the operation box in the car. The present invention changes the traditional contact-type instruction registration device of an IC card to a remote non-contact signal transmission between the signal transmitting device and the signal receiving device, enabling residents to free their hands and enter and exit the elevator freely, and solving the problem that it is impossible to register the elevator button with both hands carrying objects.

[0004] The traditional elevator call method mainly relies on passengers manually operating the elevator buttons to register the floor requirements. However, this method has many drawbacks. In public places, such as office buildings, hospitals, shopping malls and other areas with large traffic, the elevator buttons are frequently touched, becoming an important medium for the spread of pathogens such as bacteria and viruses. Especially during the epidemic of infectious diseases, this contact-type elevator call method greatly increases the risk of cross-infection and poses a threat to people's health; With the continuous progress of technology and the improvement of people's requirements for the quality of life, non-contact intelligent elevator call technology has emerged. Some early non-contact elevator call systems used simple infrared induction technology, which could only achieve basic elevator call functions and could not accurately identify the specific floor requirements of passengers, resulting in poor use effects; in recent years, although non-contact intelligent elevator call registration systems based on technologies such as image recognition and gesture recognition have gradually emerged, there is still room for improvement in terms of technical maturity and stability. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a non-contact intelligent elevator call registration system and device, which solves the problem that the original elevator call method still needs to be improved in terms of technical maturity.

[0006] To achieve the above object, the present invention is realized through the following technical solutions: A non-contact intelligent elevator call registration system, comprising: A visual monitoring end, which is set at the position of the original elevator button, is used for real-time monitoring of the call gesture picture associated with the front end of the elevator button, and transmits the real-time monitored call gesture picture into the feature processing end, and the specific area monitored is a preset area; A feature processing end, which performs real-time processing on the call gesture picture real-time monitored at the front end of the elevator button, confirms the picture to be processed from several groups of different frame call gesture pictures monitored, then adopts the method of picture gradient analysis processing for the picture to be processed, confirms the moving object monitored, records the moving process image of the moving object, and transmits the recorded moving process image into the call signal confirmation end; A call signal confirmation end, based on the confirmed moving process image of this moving object, confirms the specific moving characteristics of the corresponding moving object, then locks the call signal associated with the corresponding gesture based on the confirmed moving characteristics, and transmits the confirmed call signal into the control center.

[0007] Further, the specific method for the feature processing end to confirm the picture to be processed is: Perform real-time comparison on the call gesture pictures in the specific area monitored. For the specific call gesture picture associated with the current frame, compare the call gesture picture monitored in the previous frame with the call gesture picture associated with the current frame to identify whether the two pictures are exactly the same. If so, continue to monitor. If not, record the call gesture picture associated with the current frame as a variant picture, and record the call gesture picture of the previous frame of the variant picture as a standard picture; Identify the inconsistent area between the variant picture and the standard picture, mark the identified inconsistent area as a feature area, then confirm the call gesture pictures of other subsequent frames of the variant picture, and synchronously confirm the feature area, and confirm the area area of the continuously appearing feature areas. When the area area associated with the feature area remains unchanged, record the call gesture picture of the corresponding frame as the picture to be processed.

[0008] Further, the specific method for the feature processing end to confirm the moving object is: Calibrate the pixel values associated with different pixel points in the feature area of the picture to be processed as XS i, where i represents different pixel points, confirm the pixel values associated with other pixel points around different pixel points, and label them as H1, H2, ……, H8. Based on a preset horizontal gradient operator sequence and a horizontal gradient operator sequence , confirm the gradient value HX of the corresponding pixel point in the horizontal direction i and the gradient value SZ in the vertical direction i ; Among them, HX i = (-1)×H1 + 0×H2 + 1×H3 + (-2)×H4 + 0×XS i + 2×H5 + (-1)×H6 + 0×H7 + 1×H8, where SZ i = (-1)×H1 + (-2)×H2 + 1×H3 + 0×H4 + 0×XS i + 0×H5 + (1)×H6 + 2×H7 + 1×H8; Adopt to confirm the comprehensive gradient ZH associated with the corresponding pixel point i ; Those that satisfy: ZH i ≥ Y1 are labeled as gradient pixel points, where Y1 is a preset value. Conversely, no labeling is performed; Connect the gradient pixel points associated with the feature region to determine the edge contour of this feature region, and determine the moving object based on the confirmed edge contour.

[0009] Furthermore, the specific method for the feature processing end to confirm the moving process image is: Based on the determined moving object, record the relevant frame images where there is a moving object or a partial moving object. Based on the recorded relevant frame images, confirm the moving process of this moving object in this specific region and generate its moving process image, and then transmit the generated moving process image to the elevator call signal confirmation end.

[0010] Furthermore, the specific method for the elevator call signal confirmation end to confirm the elevator call signal is: Based on the labeled moving object and the edge contour associated with this moving object, confirm the feature points of this moving object: Place the confirmed edge contour in a two-dimensional coordinate system, confirm the different two-dimensional coordinates associated with different contour points, then perform mean processing on several groups of two-dimensional coordinates associated with the edge contour to confirm the mean coordinate, and based on the confirmed mean coordinate, confirm the corresponding mean point in the two-dimensional coordinate system and label the mean point within the edge contour. Denote the confirmed mean point as the feature point of this moving object; Based on the recorded moving process images of the feature points, confirm the moving trajectory of this feature point, confirm the moving direction from the moving trajectory, and record the confirmed moving direction as the moving feature of this moving object; If there is only one set of moving directions in the moving features, confirm the specific orientation of this moving direction. If the orientation is upward, generate a climbing call signal. If the orientation is downward, generate a descending call signal, and transmit the generated call signal to the control center; If there are multiple sets of moving directions in the moving features, confirm the specific orientation of the last set of moving directions, and confirm the specific call signal based on the specific orientation, and transmit the confirmed call signal to the control center.

[0011] Preferably, it further includes: An elevator information acquisition terminal, which acquires the real-time information of each group of elevators and transmits the acquired real-time information to the control center. The real-time information includes the floor where the elevator is located and the traveling direction of the elevator. The traveling direction of the elevator includes the upward direction and the downward direction.

[0012] Preferably, the control center, based on the confirmed call signal and the acquired real-time information about each group of elevators, performs associated control on the specified elevator to make the corresponding elevator reach the specific floor where the call signal is located.

[0013] Preferably, a non-contact intelligent call registration device includes: A high-definition monitoring probe: arranged at the original elevator button position, used to monitor the call gesture screen associated with the front end of the elevator button in real time, and the specific monitored area is a preset area; A CPU processor, which processes the call gesture screen in real time, confirms the to-be-processed screen from several groups of different frame call gesture screens monitored, then uses the method of picture gradient analysis and processing for the to-be-processed screen to confirm the moving object monitored, and records the moving process images of the moving object; A signal processor, according to the moving process images of this moving object, confirms the specific moving features of the corresponding moving object, and then locks the call signal associated with the corresponding gesture based on the confirmed moving features; A monitoring sensor, which acquires the real-time information of each group of elevators and transmits the acquired real-time information to the controller; A controller, based on the confirmed call signal and the acquired real-time information about each group of elevators, performs associated control on the specified elevator to make the corresponding elevator reach the specific floor where the call signal is located.

[0014] The present invention provides a non-contact intelligent call registration system and device. Compared with the prior art, it has the following beneficial effects: Through the visual monitoring terminal set at the elevator button position, the present invention realizes contactless elevator calling, avoiding direct contact between personnel and elevator buttons, effectively reducing the risk of transmission of bacteria, viruses, etc. through contact. Especially during the prevention and control of infectious diseases, it can provide a safer elevator riding environment for passengers; By processing the call gesture pictures in real time and using unique picture comparison and gradient analysis methods, it is possible to accurately identify moving objects and their moving processes from the monitoring pictures; for example, by comparing adjacent frame pictures to determine the abnormal pictures and characteristic areas, and then using gradient analysis to determine the edge contours of moving objects. This series of operations makes the recognition of call gestures more accurate and reduces the possibility of misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the principle framework of the present invention; Figure 2 It is a schematic diagram for determining the gradient pixel points of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0017] The First Embodiment

[0018] Please refer to Figure 1 , this application provides a contactless intelligent call registration system, including a visual monitoring terminal, a feature processing terminal, a call signal confirmation terminal, an elevator information acquisition terminal, and a control center; Among them, the visual monitoring terminal, the feature processing terminal, the call signal confirmation terminal, and the control center are electrically connected in sequence from the output node to the input node, and the elevator information acquisition terminal is electrically connected to the input node of the control center; Among them, the visual monitoring terminal is set at the original elevator button position, used to monitor the call gesture screen associated with the front end of the elevator button in real time, and transmit the real-time monitored call gesture screen to the feature processing terminal. The specific monitored area is a preset area, which is determined in advance by relevant operators. Generally, there will not be a large range area, just a small area in front of the button. Specifically, the visual monitoring terminal is a group of high-definition monitoring probes, set at the original elevator button position, to monitor the call gesture associated with the front end in real time, and based on the specific monitored screen, determine the specific call gesture to lock the associated call signal. Subsequently, based on this call signal, the relevant elevator can be controlled to achieve a better elevator control effect and the specific effect of contactless call; Among them, the feature processing terminal processes the call gesture screen monitored in real time at the front end of the elevator button, confirms the picture to be processed from several groups of different frame call gesture screens monitored, then uses the method of picture gradient analysis and processing for the picture to be processed to confirm the moving object monitored, records the moving process image of the moving object, and transmits the recorded moving process image to the call signal confirmation terminal. The moving process image is the actual specific monitored screen, that is, when the corresponding moving object intervenes in the front end of the button, based on the coverage area of the object intervening in real time, lock the overall contour appearance of the moving object, based on the confirmed specific contour change, lock the complete form of the moving object at the front end, and then based on the specific moving process of such an object, lock the specific moving process image to facilitate the subsequent specific confirmation of the corresponding call signal; The specific method for confirming the picture to be processed is: Perform real-time comparison on the call gesture screens in the specific monitored area. For the call gesture screen associated with the current frame, compare the call gesture screen monitored in the previous frame with the call gesture screen associated with the current frame to identify whether the two screens are exactly the same. If so, continue to monitor. If not, record the call gesture screen associated with the current frame as the abnormal change screen, and record the call gesture screen of the previous frame of the abnormal change screen as the standard screen; Identify the inconsistent area between the abnormal change screen and the standard screen, mark the identified inconsistent area as the feature area, then confirm the call gesture screens of other subsequent frames of the abnormal change screen, and synchronously confirm the feature area. Confirm the area of the continuously appearing feature area. When the area associated with the feature area remains unchanged, record the call gesture screen of the corresponding frame as the picture to be processed; Among them, the specific method for using the method of picture gradient analysis and processing to confirm the moving object monitored is: Combined with Figure 2 , calibrate the pixel values associated with different pixel points in the feature area of the picture to be processed as XS i, where i represents different pixel points, confirm the pixel values associated with other pixel points around different pixel points, and label them as H1, H2, ……, H8 (the pixel points are arranged in a gradient histogram in the image, so there are only eight groups of pixel points around each different pixel point, and each group of different pixel points is associated with different pixel values), based on a preset horizontal gradient operator sequence and a horizontal gradient operator sequence , confirm the gradient value HX of the corresponding pixel point in the horizontal direction i and the gradient value SZ in the vertical direction i ; Among them, HX i = (-1)×H1 + 0×H2 + 1×H3 + (-2)×H4 + 0×XS i + 2×H5 + (-1)×H6 + 0×H7 + 1×H8, where SZ i = (-1)×H1 + (-2)×H2 + 1×H3 + 0×H4 + 0×XS i + 0×H5 + (1)×H6 + 2×H7 + 1×H8; Adopt to confirm the comprehensive gradient ZH associated with the corresponding pixel point i ; Those related pixel points that satisfy: ZH i ≥ Y1 are labeled as gradient pixel points, otherwise, no labeling is performed. Among them, Y1 is a preset value, and its specific value is determined by the operator according to experience; Connect the gradient pixel points associated with the feature area to determine the edge contour of this feature area, and determine the moving object based on the confirmed edge contour (the overall edge contour of this moving object is the overall contour of the corresponding feature area); The specific method of recording the moving process video of the moving object is: Based on the determined moving object, record the relevant frame images where there is a moving object or a part of the moving object. Based on the recorded relevant frame images, confirm the moving process of this moving object in this specific area and generate its moving process video, and then transmit the generated moving process video to the call signal confirmation end; Specifically, its moving process video is the specific moving video of this moving object. Based on the corresponding moving object contained in the corresponding frame image, the continuous frame images can be specifically confirmed as a video segment based on the corresponding moving object that appears in the continuous frame images. Since a video is composed of a combination of several continuous frame images, the relevant video of the corresponding moving process can be locked.

[0019] Among them, the call signal confirmation terminal confirms the specific movement characteristics of the corresponding moving object based on the confirmed moving process image of this moving object, then locks the call signal associated with the corresponding gesture based on the confirmed movement characteristics, and transmits the confirmed call signal to the control center. The specific method for confirming the call signal is as follows: Based on the calibrated moving object and the edge contour associated with this moving object, confirm the feature points of this moving object: place the confirmed edge contour in a two-dimensional coordinate system, confirm the different two-dimensional coordinates associated with different contour points, then perform mean processing on several groups of two-dimensional coordinates associated with the edge contour to confirm the mean coordinate, and based on the confirmed mean coordinate, confirm the corresponding mean point in the two-dimensional coordinate system, and mark the mean point within the edge contour. Denote the confirmed mean point as the feature point of this moving object; Based on the recorded moving process image, confirm the moving trajectory of this feature point, confirm the moving direction from the moving trajectory, and denote the confirmed moving direction as the moving characteristic of this moving object; If there is only one set of moving directions in the moving characteristics, confirm the specific orientation of this moving direction. If the orientation is upward, generate a climbing call signal. If the orientation is downward, generate a descending call signal, and transmit the generated call signal to the control center; If there are multiple sets of moving directions in the moving characteristics, confirm the specific orientation of the last set of moving directions, and confirm the specific call signal based on the specific orientation, and transmit the confirmed call signal to the control center; Specifically, if there are specific upward and downward moving trends corresponding to the moving direction, the specific call signal can be confirmed based on the corresponding moving trends. When the orientation is upward, the corresponding person wants to go to the upper floor by the corresponding elevator. When the orientation is downward, it means the corresponding person wants to go to the lower floor by the corresponding elevator. Therefore, different call signals are confirmed and executed based on different gestures.

[0020] Among them, the elevator information acquisition terminal acquires the real-time information of each group of elevators and transmits the acquired real-time information to the control center. The real-time information includes the floor where the elevator is located and the running direction of the elevator. The running direction of the elevator includes the upward direction and the downward direction; The control center performs associated control on the specified elevator based on the confirmed call signal and the acquired real-time information of each group of elevators, so that the corresponding elevator reaches the specific floor where the call signal is located. The specific method for performing associated control is as follows: If the confirmed call signal is a climbing call signal, confirm the floor L where this climbing call signal is located, and then confirm the associated elevator moving in the upward direction. The floor where this associated elevator is located belongs to the lower floor or the same floor as L. Control the confirmed associated elevator to move towards the floor L and open the elevator door after reaching the floor L (if it belongs to the same floor, directly open the corresponding elevator door). If the confirmed call signal is a descending call signal, confirm the floor J where this descending call signal is located, and then confirm the associated elevator moving in the downward direction. The floor where this associated elevator is located belongs to the upper floor or the same floor as J. Control the confirmed associated elevator to move towards the floor J and open the elevator door after reaching the floor J. Since the call control method here is relatively common in the prior art, it will not be elaborated too much here.

[0021] Second Embodiment

[0022] A non-contact intelligent call registration device includes: High-definition monitoring probe: Set at the original elevator button position, used to monitor the call gesture screen associated with the front end of the elevator button in real time. The specific area monitored is the preset area. CPU processor, which processes the call gesture screen in real time, confirms the to-be-processed screen from several groups of different-frame call gesture screens monitored, then uses the method of picture gradient analysis and processing for the to-be-processed screen to confirm the moving objects monitored, and records the moving process images of the moving objects. Signal processor, based on the moving process images of this moving object, confirms the specific moving characteristics of the corresponding moving object, and then locks the call signal associated with the corresponding gesture based on the confirmed moving characteristics. Monitoring sensor, which obtains the real-time information of each group of elevators and transmits the obtained real-time information to the controller. Controller, based on the confirmed call signal and the obtained real-time information about each group of elevators, performs associated control on the specified elevator to make the corresponding elevator reach the specific floor where the call signal is located.

[0023] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0024] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A non-contact intelligent elevator call registration system, characterized in that: include: The visual monitoring terminal is set at the original elevator button position, and is used to monitor the elevator call gesture screen associated with the front end of the elevator button in real time, and transmit the real-time monitored elevator call gesture screen to the feature processing terminal, and the specific area monitored is the preset area; The feature processing end processes the elevator call gesture screen monitored in real time by the elevator button front end in real time, confirms the screen to be processed from the monitored sets of elevator call gesture screens of different frames, and then uses the screen gradient analysis and processing method to confirm the monitored moving object, and records the moving process image of the moving object, and transmits the recorded moving process image to the elevator call signal confirmation end. The specific method of confirming the screen to be processed is as follows: The elevator call gesture screens of the specific monitored area are compared in real time. For the specific elevator call gesture screen associated with the current frame, the elevator call gesture screen monitored in the previous frame is compared with the elevator call gesture screen associated with the current frame to identify whether the two sets of screens are completely consistent. If so, the monitoring is continued. If not, the elevator call gesture screen associated with the current frame is recorded as the abnormal screen, and the elevator call gesture screen of the previous frame of the abnormal screen is recorded as the standard screen; Identify the inconsistent area between the abnormal picture and the standard picture, mark the identified inconsistent area as the feature area, then confirm the elevator call gesture pictures of other frames subsequent to the abnormal picture, and simultaneously confirm the feature area, confirm the area of ​​the feature areas that appear continuously, and when the area of ​​the area associated with the feature area remains unchanged, record the elevator call gesture picture of the corresponding frame as the picture to be processed; The elevator call signal confirmation terminal confirms the specific movement characteristics of the corresponding moving object based on the confirmed movement process image of the moving object, and then locks the elevator call signal associated with the corresponding gesture based on the confirmed movement characteristics, and transmits the confirmed elevator call signal to the control center.

2. A non-contact intelligent elevator call registration system according to claim 1, characterized in that: The specific method of confirming the moving object at the feature processing end is: The pixel values ​​associated with different pixel points in the feature area of ​​the processed image are calibrated as XS i , where i represents different pixels, the pixel values ​​associated with other pixels around different pixels are confirmed and marked as H1, H2, ..., H8, based on the preset horizontal gradient operator sequence and the transverse gradient operator sequence , confirm the horizontal gradient value HX of the corresponding pixel i And the vertical gradient value SZ i ; Among them, HX i =(-1)×H1+0×H2+1×H3+(-2)×H4+0×XS i +2×H5+(-1)×H6+0×H7+1×H8, where SZ i =(-1)×H1+(-2)×H2+1×H3+0×H4+0×XS i +0×H5+(1)×H6+2×H7+1×H8; use Confirm the comprehensive gradient ZH associated with the corresponding pixel point i ; Will satisfy: ZH i The relevant pixels ≥Y1 are marked as gradient pixels, where Y1 is a preset value; The gradient pixel points associated with the feature region are connected to determine the edge contour of the feature region, and the moving object is determined based on the confirmed edge contour.

3. A non-contact intelligent elevator call registration system according to claim 2, characterized in that: Will not satisfy: ZH i For the pixels ≥Y1, no calibration is performed.

4. A non-contact intelligent elevator call registration system according to claim 2, characterized in that: The feature processing end confirms the specific method of the moving process image as follows: Based on the determined moving object, the relevant frame images where the moving object or part of the moving object exists are recorded, and based on the recorded relevant frame images, the moving process of the moving object in this specific area is confirmed and its moving process image is generated, and then the generated moving process image is transmitted to the elevator call signal confirmation terminal.

5. A non-contact intelligent elevator call registration system according to claim 4, characterized in that: The elevator call signal confirmation terminal confirms the elevator call signal in the following specific manner: Based on the calibrated moving object and the edge contour associated with the moving object, the feature points of the moving object are confirmed: the confirmed edge contour is placed in a two-dimensional coordinate system, different two-dimensional coordinates associated with different contour points are confirmed, and then a plurality of groups of two-dimensional coordinates associated with the edge contour are averaged to confirm the mean coordinates, and corresponding mean points are confirmed in the two-dimensional coordinate system based on the confirmed mean coordinates, and the mean points are calibrated in the edge contour, and the confirmed mean points are recorded as the feature points of the moving object; Based on the recorded moving process image, confirm the moving trajectory of the feature point, confirm the moving direction from the moving trajectory, and record the confirmed moving direction as the moving feature of the moving object; If there is only one set of moving directions in the moving feature, the specific direction of the moving direction is confirmed. If the direction is upward, an ascending elevator call signal is generated; if the direction is downward, a descending elevator call signal is generated, and the generated elevator call signal is transmitted to the control center; If there are multiple groups of moving directions in the moving feature, the specific direction of the last group of moving directions is confirmed, and a specific elevator call signal is confirmed based on the specific direction, and the confirmed elevator call signal is transmitted to the control center.

6. A non-contact intelligent elevator call registration system according to claim 1, characterized in that: Also includes: The elevator information acquisition terminal acquires the real-time information of each group of elevators and transmits the acquired real-time information to the control center. The real-time information includes the floor where the elevator is located and the direction of the elevator movement. The direction of the elevator movement includes the upward direction and the downward direction.

7. A non-contact intelligent elevator call registration system according to claim 6, characterized in that: The control center performs association control on the designated elevators based on the confirmed elevator call signal and the acquired real-time information about each group of elevators, so that the corresponding elevator reaches the specific floor where the elevator call signal is located.

8. A non-contact intelligent elevator call registration device, which operates based on a non-contact intelligent elevator call registration system according to any one of claims 1 to 7, characterized in that: include: High-definition monitoring probe: It is set at the original elevator button position and is used to monitor the elevator call gesture screen associated with the front end of the elevator button in real time. The specific area monitored is the preset area; The CPU processor processes the elevator call gesture screen in real time, confirms the screen to be processed from the monitored sets of different frames of the elevator call gesture screen, and then uses the screen gradient analysis method to confirm the monitored moving object and record the moving process image of the moving object; The signal processor determines the specific movement characteristics of the corresponding moving object according to the moving process image of the moving object, and then locks the elevator call signal associated with the corresponding gesture based on the determined movement characteristics; Monitoring sensors acquire real-time information of each elevator group and transmit the acquired real-time information to the controller; The controller performs association control on the designated elevators based on the confirmed elevator call signal and the acquired real-time information about each group of elevators, so that the corresponding elevator reaches the specific floor where the elevator call signal is located.

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