CN110386515B - Method for controlling elevator stop floor based on artificial intelligence and related equipment - Google Patents
Method for controlling elevator stop floor based on artificial intelligence and related equipment Download PDFInfo
- Publication number
- CN110386515B CN110386515B CN201910524975.7A CN201910524975A CN110386515B CN 110386515 B CN110386515 B CN 110386515B CN 201910524975 A CN201910524975 A CN 201910524975A CN 110386515 B CN110386515 B CN 110386515B
- Authority
- CN
- China
- Prior art keywords
- floor
- elevator
- intention
- floors
- voice data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/02—Control systems without regulation, i.e. without retroactive action
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/10—Details with respect to the type of call input
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Elevator Control (AREA)
Abstract
The application relates to the field of artificial intelligence, and provides a method for controlling elevator stop floors based on artificial intelligence and related equipment, wherein the method comprises the following steps: acquiring at least one of voice data and gestures of a passenger in an elevator, and determining the intended floor of the passenger in the elevator according to the at least one of the voice data and the gestures, wherein the intended floor comprises at least one floor; generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for instructing an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped; executing the stopping instruction, and stopping at the intention floor indicated by the stopping instruction. This scheme of adoption, can intelligent and automatic berth floor, needn't touch the button with the hand, clean health reduces the bacterium contact.
Description
Technical Field
The application relates to the field of artificial intelligence, in particular to a method for controlling a stopping floor of an elevator based on artificial intelligence and related equipment.
Background
At present, the face brushing elevator is only used for the right control of the elevator, the application of Artificial Intelligence (AI) technology on floor selection is not enough, and the floor is still selected by buttons conventionally.
However, people and passengers called elevators may have old people, children, disabled people, or people holding heavy objects, and children are not high enough, and disabled people or old people generally take a wheelchair, and people holding heavy objects cannot smoothly touch buttons, and in these cases, they may not be able to select an intended floor through buttons, which may cause inconvenience in taking the elevator by these people and also may not be intelligent.
Disclosure of Invention
The application provides a method for controlling elevator stopping floors based on artificial intelligence and related equipment, which can solve the problem of inconvenience caused by that an intention floor can only be selected through a button in the prior art.
In a first aspect, the present application provides a method for controlling elevator landing floors based on artificial intelligence, the method comprising:
acquiring at least one of voice data and gestures of a passenger in an elevator, wherein the voice data is detected by a microphone arranged in the elevator, and the gestures are shot by a shooting device or a monitoring device arranged in the elevator;
determining intent floors of passengers within the elevator according to at least one of the voice data and the gestures, the intent floors including at least one floor;
generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped;
executing the stopping instruction, and stopping at the intention floor indicated by the stopping instruction.
In one possible design, when voice data related to taking an elevator is detected, the determining the intended floor of the passenger in the elevator according to at least one of the voice data and the gesture includes one of the following implementation manners:
converting voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers, and taking the floor numbers corresponding to the keywords as the intention floors;
or a voice library related to the operation of the elevator is arranged in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. And taking the floor corresponding to the target voice as the intention floor.
In one possible design, when a gesture related to taking an elevator is detected, the determining an intended floor of a passenger in the elevator according to at least one of the voice data and the gesture includes one of:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as the intention floors; wherein, the specific gesture refers to a gesture representing a number;
or identifying objects carried by passengers according to an image identification algorithm, and identifying the corresponding intention floor through a shooting device in the elevator if the objects are identified with marks representing the intention floors.
In one possible design, when the voice data and the gesture related to taking an elevator are detected in the elevator, the determining the intended floor of the passenger in the elevator according to at least one of the voice data and the gesture includes one of the following implementation manners:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying objects carried by passengers according to an image identification algorithm, and if the objects are identified to be provided with identification representing an intention floor, identifying a corresponding first intention floor through a shooting device in the elevator;
converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to the operation of the elevator is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. Taking the floor corresponding to the target voice as a second intention floor;
and comparing a first intention floor obtained according to the voice data with a second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as a final intention floor.
In one possible design, after obtaining the voice data, the method further comprises:
preprocessing the voice data, wherein the preprocessing mode can comprise at least one of noise filtering, semantic analysis and floor matching;
if the elevator is provided with a reachable floor, judging whether the intention floor is in the reachable floor or not after the voice data is preprocessed;
if the intention floor is within the reachable floor, generating a stopping instruction, wherein the intention floor within the reachable floor is called an effective intention floor;
and if the floors which are not in the reachable floors exist in the intention floors, generating first prompt information, wherein the first prompt information is used for prompting that the elevator cannot stop at the invalid intention floors.
In one possible design, when the voice data includes voices of at least two intended floors, the determining whether the intended floor is within the reachable floor further includes:
and if the intention floor comprises an effective intention floor and an ineffective intention floor, generating the stopping instruction and the prompt message.
In one possible design, before generating the stop instruction, or before executing the stop instruction, the method further includes:
sending second prompt information, wherein the second prompt information is used for prompting a passenger to input a palm print, a fingerprint, a password or to swipe a card on a control panel in the elevator;
and triggering a floor signal of the target floor if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping.
In a second aspect, the present application provides an elevator control apparatus having a function of implementing the method for controlling a stopping floor of an elevator based on artificial intelligence provided corresponding to the first aspect described above. The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above functions, which may be software and/or hardware.
In one possible design, the elevator control device includes:
the elevator control system comprises an input and output module, a control module and a monitoring module, wherein the input and output module is used for acquiring at least one of voice data and gestures of passengers in an elevator, the voice data is detected by a microphone arranged in the elevator, and the gestures are shot by a shooting device or a monitoring device arranged in the elevator;
the processing module is used for determining the intention floors of passengers in the elevator according to at least one of the voice data and the gestures acquired by the input and output module, wherein the intention floors comprise at least one floor; generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped;
and the control module is used for executing the stopping instruction generated by the processing module and stopping at the intention floor indicated by the stopping instruction.
In one possible design, when voice data relating to taking an elevator is detected, the processing module determines an intended floor of a passenger within the elevator based at least on one of the following:
converting voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers, and taking the floor numbers corresponding to the keywords as the intention floors;
or a voice library related to the operation of the elevator is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. And taking the floor corresponding to the target voice as the intention floor.
In one possible design, when a gesture is detected in connection with taking an elevator, the processing module determines the intended floor of the passenger within the elevator according to at least one of the following implementations:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as the intention floors; wherein, the specific gesture refers to a gesture representing a number;
or objects carried by passengers are identified according to an image identification algorithm, and if the objects are identified to be provided with marks representing intended floors, the corresponding intended floors are identified through a shooting device in the elevator.
In one possible design, when the voice data and the gesture related to taking an elevator are detected in the elevator, the processing module determines an intended floor of a passenger in the elevator according to at least one of the following implementations:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying an object carried by a passenger according to an image identification algorithm, and identifying a corresponding first intention floor through a shooting device in the elevator if the object is identified to have a mark representing the intention floor;
converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to the operation of the elevator is arranged in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. Taking the floor corresponding to the target voice as a second intention floor;
and comparing a first intention floor obtained according to the voice data with a second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as a final intention floor.
In one possible design, after the input-output module obtains the voice data, the processing module is further configured to:
preprocessing the voice data, wherein the preprocessing mode can comprise at least one of noise filtering, semantic analysis and floor matching;
if the elevator is provided with a reachable floor, judging whether the intention floor is in the reachable floor or not after the voice data is preprocessed;
if the intention floor is within the reachable floor, generating a stopping instruction, wherein the intention floor within the reachable floor is called an effective intention floor;
and if the floors which are not in the reachable floors exist in the intention floors, generating first prompt information, wherein the first prompt information is used for prompting that the elevator cannot stop invalid intention floors.
In one possible design, when the voice data includes voices of at least two intended floors, the processing module is further configured to, after determining whether the intended floor is within the reachable floor:
and if the intention floor comprises an effective intention floor and an ineffective intention floor, generating the stopping instruction and the prompt message.
In one possible design, before the processing module generates the stop instruction or before the control module executes the stop instruction, the processing module is further configured to:
controlling the input and output module to send out second prompt information, wherein the second prompt information is used for prompting a passenger to input a palm print, a fingerprint, a password or to swipe a card on a control panel in the elevator;
and if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping, triggering a floor signal of the target floor.
Yet another aspect of the present application provides a computer device comprising at least one connected processor, a memory and an input-output unit, wherein the memory is used for storing program code, and the processor is used for calling the program code in the memory to execute the method of the above aspects.
Yet another aspect of the present application provides a computer storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of the above-described aspects.
Compared with the prior art, in the scheme provided by the application, the floor information of the floor in the voice is recognized by acquiring the voice of the passenger in the elevator, and the floor signal of the target floor is triggered according to the recognized floor information. Or acquiring the gesture of the passenger in the elevator, identifying the floor information corresponding to the gesture, and triggering the floor signal of the target floor according to the identified floor information. The passenger can also be prompted to input a palm print, a fingerprint, a password or a card swiping mode on a control panel in the elevator, and if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping mode, a floor signal of a target floor is triggered. Through adopting this scheme, can realize intelligent and automatic berthhing floor, needn't touch the button with the hand, clean health reduces the bacterium contact. Moreover, the elevator floor button is very suitable for the situation that the button cannot be touched due to insufficient height or inconvenient movement, for example, children cannot touch the button smoothly due to insufficient height, disabled persons or old people who take wheelchairs, heavy objects and the like, and the elevator can still be taken conveniently.
Drawings
Fig. 1 is a schematic flow chart of a method for controlling the stopping floors of an elevator based on artificial intelligence in the embodiment of the application;
fig. 2 is a schematic view showing a structure of an elevator control apparatus in the embodiment of the present application;
FIG. 3 is a schematic diagram of an embodiment of the present invention.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not explicitly listed or inherent to such process, method, article, or apparatus, and such that a division of modules presented in this application is merely a logical division that may be implemented in an actual application in a different manner, such that multiple modules may be combined or integrated into another system, or some features may be omitted, or may not be implemented.
The application provides a method for controlling elevator stopping floors based on artificial intelligence and related equipment, which can be used in the scenes of equipping elevators in districts, apartments, transportation hubs, markets and the like.
In order to solve the technical problem, the present application mainly provides the following technical solutions:
the method comprises the steps of acquiring voice of passengers in an elevator, identifying floor information about floors in the voice, and triggering floor signals to target floors according to the identified floor information. Or acquiring the gesture of the passenger in the elevator, identifying the floor information corresponding to the gesture, and triggering the floor signal of the target floor according to the identified floor information. The passenger can be prompted to input a palm print, a fingerprint, a password or a card swiping mode on a control panel in the elevator, and if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping mode, a floor signal of a target floor is triggered. Through adopting this scheme, can realize intelligent and automatic berthhing floor, needn't touch the button with the hand, clean health reduces the bacterium contact. Moreover, the elevator floor button is very suitable for the situation that the button cannot be touched due to insufficient height or inconvenient movement, for example, children cannot touch the button smoothly due to insufficient height, disabled persons or old people who take wheelchairs, heavy objects and the like, and the elevator can still be taken conveniently.
Referring to fig. 1, a method for controlling a landing floor of an elevator based on artificial intelligence, which is performed by an elevator control apparatus, according to the present application is exemplified as follows:
101. at least one of voice data and gestures of a passenger within an elevator are obtained.
The voice data are obtained through detection of a microphone installed in the elevator, and the gestures are obtained through shooting of a shooting device or a monitoring device installed in the elevator.
In some embodiments, to avoid the disordered voice data from interfering with the signal of the departure floor, after the voice data is acquired, the voice data may be preprocessed, which may include noise filtering, semantic analysis, and floor matching. For example, upon detecting a passenger's voice in an elevator, the voice includes "19 floors", "you want to go several floors, and" help me presses 8 floors "and" you are good and early today ". After semantic analysis is performed on the speaking voice, it can be determined that "you want to go a few layers" and "you are a good morning today" are both noise data, so that non-digital audio in the speaking voice is filtered, i.e., the "you want to go a few layers" and the "you are a good morning today" are filtered, and only the "19 layers" and the "I press 8 layers" are reserved. After noise data in the speech sound is filtered, semantic recognition and matching are carried out on the audio frequency in the filtered speech sound, and the matched 19-floor and 8-floor are floors to which the elevator runs.
102. Determining an intended floor of a passenger within the elevator based on at least one of the voice data and the gesture.
Wherein the intent floor includes at least one floor.
The process of determining the intended floor based on the voice data and the gesture is described below:
(1) When voice data related to taking an elevator is detected.
In some embodiments, determining the intended floor of the passenger within the elevator based on at least one of the voice data and the gesture includes one of:
converting voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers, and taking the floor numbers corresponding to the keywords as the intention floors. For example, after a passenger says "hello, i want to go to 15 floors", and converts into a text "hello, i want to go to 15 floors", semantic analysis is performed on the text "hello, i want to go to 15 floors", the analysis result is "go to 15 floors", the "go to 15 floors" is matched with keywords, and the "go to 15 floors" is matched to "15 floors", and then the 15 floors are used as the intention floors of the passenger.
Or a voice library related to the operation of the elevator is arranged in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. And taking the floor corresponding to the target voice as the intention floor. For example, if the passenger says "hello, i want to go to floor 15", matches "hello, i want to go floor 15" with the keyword, matches "floor 15", then this floor 15 is taken as the passenger's intended floor.
(2) When a gesture related to taking an elevator is detected.
In some embodiments, determining the intended floor of the passenger within the elevator based on at least one of the voice data and the gesture includes one of:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as the intention floors; wherein the specific gesture refers to a gesture representing a number. For example, if the gesture ratio of the passenger is recognized as "7" by the image recognition algorithm, 7 floors are set as the intended floor of the passenger.
Or objects carried by passengers are identified according to an image identification algorithm, and if the objects are identified to be provided with marks representing intended floors, the corresponding intended floors are identified through a shooting device in the elevator.
Even though there may be persons with inconvenient speaking (e.g., persons with full mouth and unable to open, or deaf-mute) or persons with inconvenient hands and feet (e.g., persons with both hands holding things and no hands or hands being injured) in the elevator, if these persons have marks representing the intended floors, such as brands, papers or pictures (mobile phone displays), etc., the corresponding intended floors can be recognized by the camera device in the elevator.
(3) When the voice data and the gesture related to taking an elevator within the elevator are detected.
In some embodiments, determining the intended floor of the passenger within the elevator based on at least one of the voice data and the gesture includes one of:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying an object carried by a passenger according to an image identification algorithm, and identifying a corresponding first intention floor through a shooting device in the elevator if the object is identified to have a mark representing the intention floor;
converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to the operation of the elevator is arranged in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. Taking the floor corresponding to the target voice as a second intention floor;
after the first intention floor and the second intention floor are obtained, comparing the first intention floor obtained according to the voice data with the second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as the final intention floor.
For example, the current intention floors are determined to be 3, 4, 7, 9, 13 and 15 according to the voice data, and the current intention floors are determined to be 3, 4, 7, 9, 10 and 15 according to the gesture. Because characters may be dropped during recording voice data, the "13" may be recognized as "3", and if 2 passengers say "go to the 13 th floor" simultaneously or successively in the elevator, one more "3" floor may be added to the intended floor, resulting in false alarm. Because the passenger is a person, it is difficult for a normal person to express "13" by one gesture, and "13" is generally expressed by 2 consecutive gestures, for example, the gesture "10" is firstly performed, and then the gesture "3" is performed, and when the elevator control device acquires the gesture of the passenger, the passenger is mistakenly judged to indicate two floors "10" and "3". If the intention floors obtained by the voice data and the gestures are compared and comprehensively analyzed, for example, the intersected intention floors are taken as 4, 7, 9 and 15, and the merged intention floors are taken as 2, 4, 7, 9, 10, 13 and 15. Or, it is found through comprehensive analysis that the passenger does not go to the floor "3" and the floor "10" but to the floor "13", and then the final output intended floors are 4, 7, 9, 13 and 15. In this way, unnecessary stops can be avoided, and the accuracy of determining the intended floor from the two dimensions of voice data and gestures is higher.
In conclusion, whether the height or the action of the passenger are convenient or not is not required to be considered, and even if the height is insufficient or the action is inconvenient, the elevator can be controlled to run and stop through voice data or gestures, so that the convenience can be improved, and the intelligent user experience is brought.
103. And generating a stopping instruction according to the intention floor.
Wherein the stop command comprises a floor signal, a start command, and a stop signal of at least one intended floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal comprises at least one signal for stopping a floor, which floor signal is used to indicate a target floor to be stopped.
In some embodiments, after the voice data is acquired and pre-processed, the method further comprises:
if the elevator is provided with a reachable floor, judging whether the intention floor is in the reachable floor or not after the voice data is preprocessed.
And if the intention floor is within the reachable floor, generating a stopping instruction, wherein the intention floor within the reachable floor is called an effective intention floor. For example, if the elevator only opens the right of 5 floors to 15 floors, the passenger is prompted in the elevator that the elevator cannot reach 19 floors.
And if the floors (also called invalid floors) which are not in the reachable floors exist in the intended floors, generating first prompt information, wherein the first prompt information is used for prompting that the elevator cannot stop the invalid intended floors.
In other embodiments, when the voice data includes voice of at least two intended floors (e.g., a passenger reports more than 2 floor numbers, and more than 2 passengers report one floor), after determining whether the intended floors are within the reachable floors, the method further comprises:
and if the intention floor comprises an effective intention floor and an ineffective intention floor, generating the stopping instruction and the prompt message.
It should be noted that, in the present application, if the intended floor includes an effective intended floor and an ineffective intended floor at the same time, the stop instruction and the prompt message may be generated at the same time or sequentially, and the generation timings of the stop instruction and the prompt message are not limited in the present application.
104. Executing the stop command, and stopping at the intention floor indicated by the stop command.
For example, the landing call indicates landing at floors 8, 15, and 18, and when the elevator travels to floors 8, 15, and 18, the elevator is landed at the corresponding floor, respectively.
Compare with current mechanism, in the embodiment of this application, through adopting this scheme, can realize intelligent and automatic berthing floor, needn't touch the button with the hand, clean health reduces the bacterium contact. Moreover, the elevator floor button is very suitable for the situation that the button cannot be touched due to insufficient height or inconvenient movement, for example, children cannot touch the button smoothly due to insufficient height, disabled persons or old people who take wheelchairs, heavy objects and the like, and the elevator can still be taken conveniently.
Optionally, in some embodiments of the present application, to avoid taking an elevator illegally, before the stop instruction is generated or before the stop instruction is executed, the method further includes:
sending second prompt information, wherein the second prompt information is used for prompting a passenger to input a palm print, a fingerprint, a password or to swipe a card on a control panel in the elevator;
and triggering a floor signal of the target floor if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping.
For example, passenger a says "go to floor 15" in the elevator, and after recognizing that "floor 15" is the intended floor, passenger a may be prompted to enter a fingerprint on a control panel in the elevator, the fingerprint entered by passenger a may be verified in the background, and if the fingerprint entered by passenger a is verified, and it is determined that passenger a is an authorized user, then a stop command to floor 15 may be generated or executed.
Various technical features mentioned in the embodiment corresponding to fig. 1 and various optional embodiments are also applicable to the embodiments corresponding to fig. 2 and fig. 3 in the present application, and similar parts are not repeated in the following.
In the present application, a method for controlling a stopping floor of an elevator based on artificial intelligence is described above, and an elevator control apparatus for performing the method for controlling a stopping floor of an elevator based on artificial intelligence is described below.
Fig. 3 is a schematic diagram of an elevator control apparatus 20, which can be applied to a scenario where a cell, an apartment, a transportation hub, a mall, or the like is equipped with an elevator. The elevator control device 20 in the embodiment of the application can implement the steps corresponding to the method for controlling the stopping floors of the elevator based on artificial intelligence performed in the embodiment corresponding to fig. 1 described above. The functions implemented by the elevator control device 20 may be implemented by hardware, or may be implemented by hardware executing appropriate software. The hardware or software includes one or more modules corresponding to the above functions, which may be software and/or hardware. The elevator control device 20 may include an input/output module 201, a processing module 202, and a control module 203, and the processing module 202, the control module 203, and the input/output module 201 may refer to operations performed in the embodiment corresponding to fig. 1, which are not described herein again. The processing module 202 may be configured to control the obtaining and transceiving operations of the input/output module 301, and to control the control operation of the control module 203.
In some embodiments, the input/output module 201 may be configured to obtain at least one of voice data and gestures of a passenger in an elevator, the voice data being detected by a microphone installed in the elevator, and the gestures being captured by a camera or a monitoring device installed in the elevator;
the processing module 202 is operable to determine an intended floor of a passenger in the elevator according to at least one of the voice data and the gesture acquired by the input-output module 201, wherein the intended floor includes at least one floor; generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped;
the control module 203 may be configured to execute the stop instruction generated by the processing module 202 to stop at the intended floor indicated by the stop instruction.
In the embodiment of this application, through this scheme of adoption, can realize intelligent and automatic berthing floor, needn't touch the button with the hand, clean health reduces the bacterium contact. And the elevator floor button is very suitable for a scene that the elevator floor button cannot be touched due to insufficient height or inconvenient movement.
In some embodiments, when voice data associated with taking an elevator is detected, the processing module determines the intended floor of a passenger within the elevator according to at least one of the following implementations:
converting voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers, and taking the floor numbers corresponding to the keywords as the intention floors;
or a voice library related to the operation of the elevator is arranged in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. And taking the floor corresponding to the target voice as the intention floor.
In some embodiments, when a gesture is detected in connection with taking an elevator, the processing module determines an intended floor of a passenger within the elevator according to at least one of the following implementations:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as the intention floors; wherein, the specific gesture refers to a gesture representing a number;
or identifying objects carried by passengers according to an image identification algorithm, and identifying the corresponding intention floor through a shooting device in the elevator if the objects are identified with marks representing the intention floors.
In some embodiments, when the voice data and the gesture are detected within the elevator in connection with taking an elevator, the processing module determines an intended floor of a passenger within the elevator according to at least one of the following implementations:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying objects carried by passengers according to an image identification algorithm, and if the objects are identified to be provided with identification representing an intention floor, identifying a corresponding first intention floor through a shooting device in the elevator;
converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to the operation of the elevator is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, and finally a target voice with the highest similarity is matched. Taking the floor corresponding to the target voice as a second intention floor;
and comparing a first intention floor obtained according to the voice data with a second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as a final intention floor.
In some embodiments, after the input/output module obtains the voice data, the processing module is further configured to:
preprocessing the voice data, wherein the preprocessing mode can comprise at least one of noise filtering, semantic analysis and floor matching;
if the elevator is provided with a reachable floor, judging whether the intention floor is in the reachable floor or not after the voice data is preprocessed;
if the intention floor is within the reachable floor, generating a stopping instruction, wherein the intention floor within the reachable floor is called an effective intention floor;
and if the floors which are not in the reachable floors exist in the intention floors, generating first prompt information, wherein the first prompt information is used for prompting that the elevator cannot stop invalid intention floors.
In some embodiments, when the voice data includes voices of at least two intended floors, the processing module is further configured to, after determining whether the intended floor is within the reachable floor:
and if the intention floors simultaneously comprise effective intention floors and ineffective intention floors, generating the stopping instruction and the prompt message.
In some embodiments, before the processing module generates the docking instruction, or before the control module executes the docking instruction, the processing module is further configured to:
the input and output module is controlled to send out second prompt information, and the second prompt information is used for prompting passengers to input palm prints or fingerprints or passwords or to swipe cards on a control panel in the elevator;
and triggering a floor signal of the target floor if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping.
The elevator control apparatus 20 in the embodiment of the present application is described above from the perspective of the modular functional entity, and a computer device is described below from the perspective of hardware, as shown in fig. 3, and includes: a processor, a memory, a display unit, an input-output unit, and a computer program stored in the memory and executable on the processor. For example, the computer program may be a program corresponding to the method for controlling the stopping floors of an elevator based on artificial intelligence in the embodiment corresponding to fig. 1. For example, when the computer means implements the functions of the elevator control device 20 as shown in fig. 2, the processor, when executing the computer program, implements the steps of the artificial intelligence based method of controlling the stopping floors of an elevator performed by the elevator control device 20 in the embodiment corresponding to fig. 2 described above; alternatively, the processor realizes the functions of the respective modules in the elevator control device 20 according to the embodiment corresponding to fig. 2 described above when executing the computer program. For another example, the computer program may be a program corresponding to the method for controlling the landing floors of an elevator based on artificial intelligence in the embodiment corresponding to fig. 1.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by executing or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The input and output units may be replaced by input units and output units, and may be the same or different physical entities. When they are the same physical entity, they may be collectively referred to as an input-output unit. The input-output unit may be referred to as a transceiver.
The display unit may be a display screen.
The memory may be integrated in the processor or may be provided separately from the processor.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application or portions thereof contributing to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., ROM/RAM), and includes several instructions for enabling a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the method described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the drawings, but the present application is not limited to the above-mentioned embodiments, which are only illustrative and not restrictive, and those skilled in the art can make many changes and modifications without departing from the spirit and scope of the present application and the protection scope of the claims, and all changes and modifications that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
Claims (9)
1. A method for controlling elevator stopping floors based on artificial intelligence, the method comprising:
acquiring at least one of voice data and gestures of a passenger in an elevator, wherein the voice data is detected by a microphone arranged in the elevator, and the gestures are shot by a shooting device or a monitoring device arranged in the elevator;
determining intent floors of passengers within the elevator according to at least one of the voice data and the gestures, the intent floors including at least one floor;
generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped;
executing the stopping instruction, stopping at the intention floor indicated by the stopping instruction;
when the voice data and the gesture related to taking an elevator in the elevator are detected, the method for determining the intention floor of the passenger in the elevator according to at least one of the voice data and the gesture comprises one of the following implementation modes:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying an object carried by a passenger according to an image identification algorithm, and identifying a corresponding first intention floor through a shooting device in the elevator if the object is identified to have a mark representing the intention floor;
converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to elevator operation is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, a target voice with the highest similarity is finally matched, and a floor corresponding to the target voice is taken as a second intention floor;
and comparing a first intention floor obtained according to the voice data with a second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as a final intention floor.
2. The method of claim 1, wherein when voice data related to taking an elevator is detected, the determining the intended floor of the passenger within the elevator based on at least one of the voice data and the gesture comprises one of:
converting voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers, and taking the floor numbers corresponding to the keywords as the intention floors;
or a voice library related to the operation of the elevator is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, a target voice with the highest similarity is finally matched, and the floor corresponding to the target voice is taken as the intended floor.
3. The method of claim 1, wherein when a gesture related to taking an elevator is detected, the determining an intended floor of a passenger within the elevator from at least one of the voice data and the gesture comprises one of:
recognizing the gestures of passengers according to an image recognition algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as the intention floors; wherein the specific gesture refers to a gesture representing a number;
or objects carried by passengers are identified according to an image identification algorithm, and if the objects are identified to be provided with marks representing intended floors, the corresponding intended floors are identified through a shooting device in the elevator.
4. The method according to any of claims 2-3, wherein after the voice data is acquired, the method further comprises:
preprocessing the voice data, wherein the preprocessing mode can comprise at least one of noise filtering, semantic analysis and floor matching;
if the elevator is provided with a reachable floor, judging whether the intention floor is in the reachable floor or not after the voice data is preprocessed;
if the intention floor is within the reachable floor, generating a stopping instruction, wherein the intention floor within the reachable floor is called an effective intention floor;
and if the floors which are not in the reachable floors exist in the intention floors, generating first prompt information, wherein the first prompt information is used for prompting that the elevator cannot stop invalid intention floors.
5. The method of claim 4, wherein when the voice data includes voice of at least two intended floors, after determining whether the intended floor is within the reachable floor, the method further comprises:
and if the intention floors simultaneously comprise effective intention floors and ineffective intention floors, generating the stopping instruction and the prompt message.
6. The method of claim 5, wherein prior to generating the landing instruction or prior to the executing the landing instruction, the method further comprises:
sending second prompt information, wherein the second prompt information is used for prompting a passenger to input a palm print, a fingerprint, a password or to swipe a card on a control panel in the elevator;
and if the passenger is determined to be an authorized user according to the palm print, the fingerprint, the password or the card swiping, triggering a floor signal of the target floor.
7. An elevator control device, characterized by comprising:
the elevator control system comprises an input and output module, a monitoring device and a control module, wherein the input and output module is used for acquiring at least one of voice data and gestures of passengers in an elevator, the voice data is detected by a microphone arranged in the elevator, and the gestures are shot by a shooting device or the monitoring device arranged in the elevator;
the processing module is used for determining the intention floors of passengers in the elevator according to at least one of the voice data and the gestures acquired by the input and output module, wherein the intention floors comprise at least one floor; generating a stopping instruction according to the intention floor, wherein the stopping instruction comprises a floor signal, a starting instruction and a stopping signal of at least one intention floor; the stopping instruction is used for indicating an elevator control device to operate the elevator and stopping the elevator at a floor corresponding to the floor signal; the floor signal at least comprises a signal of a stopping floor, and the floor signal is used for indicating a target floor to be stopped;
the control module is used for executing the stopping instruction generated by the processing module and stopping at the intention floor indicated by the stopping instruction;
the processing module is also used for identifying the gestures of the passengers according to an image identification algorithm, matching the gestures with specific gestures in a database, and if the specific gestures are matched, taking the floors corresponding to the matched specific gestures as first intention floors; wherein, the specific gesture refers to a gesture representing a number; or identifying an object carried by a passenger according to an image identification algorithm, and identifying a corresponding first intention floor through a shooting device in the elevator if the object is identified to have a mark representing the intention floor; converting the voice data into a text, performing semantic analysis on the text to obtain a feature text, matching the feature text with predefined keywords in a database, and recording the keywords if the keywords are matched, wherein the keywords refer to floor numbers; or a voice library related to the operation of the elevator is set in a database, the voice data are matched with the voice library, the similarity between the voice data and each voice in the voice library is judged by adopting a cosine value or an Euclidean distance, a target voice with the highest similarity is finally matched, and a floor corresponding to the target voice is taken as a second intention floor; and comparing a first intention floor obtained according to the voice data with a second intention floor obtained according to the gesture, and taking the intersection or union of the first intention floor and the second intention floor as a final intention floor.
8. A computer device, the device comprising:
at least one processor, a memory, and an input-output unit;
wherein the memory is configured to store program code and the processor is configured to invoke the program code stored in the memory to perform the method of any of claims 1-6.
9. A computer storage medium characterized in that it comprises instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910524975.7A CN110386515B (en) | 2019-06-18 | 2019-06-18 | Method for controlling elevator stop floor based on artificial intelligence and related equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910524975.7A CN110386515B (en) | 2019-06-18 | 2019-06-18 | Method for controlling elevator stop floor based on artificial intelligence and related equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110386515A CN110386515A (en) | 2019-10-29 |
| CN110386515B true CN110386515B (en) | 2023-04-07 |
Family
ID=68285807
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910524975.7A Active CN110386515B (en) | 2019-06-18 | 2019-06-18 | Method for controlling elevator stop floor based on artificial intelligence and related equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110386515B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111158490B (en) * | 2019-12-31 | 2020-12-22 | 重庆百事得大牛机器人有限公司 | Auxiliary semantic recognition system based on gesture recognition |
| CN111470385A (en) * | 2020-04-14 | 2020-07-31 | 苏州德奥电梯有限公司 | Elevator system |
| CN111792464A (en) * | 2020-07-21 | 2020-10-20 | 睿住科技有限公司 | Elevator control method, elevator, and storage medium |
| CN112698727A (en) * | 2021-01-04 | 2021-04-23 | 北京工业大学 | Automatic identification device of elevator floor gesture instruction based on image recognition |
| CN116917221B (en) * | 2021-03-01 | 2024-02-23 | 三菱电机楼宇解决方案株式会社 | Elevator device and report generation device |
| CN114014111B (en) * | 2021-10-12 | 2023-01-17 | 北京交通大学 | Non-contact intelligent elevator control system and method |
| CN114299960A (en) * | 2021-12-20 | 2022-04-08 | 北京声智科技有限公司 | Voice recognition method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1407945A (en) * | 1999-10-04 | 2003-04-02 | 奥蒂斯电梯公司 | Automatic elevator destination call processing |
| JP2014114132A (en) * | 2012-12-11 | 2014-06-26 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator |
| US9477317B1 (en) * | 2014-04-22 | 2016-10-25 | sigmund lindsay clements | Sanitarily operating a multiuser device using a touch free display |
| JP2017001766A (en) * | 2015-06-04 | 2017-01-05 | 東芝エレベータ株式会社 | Elevator system |
| CN107207192A (en) * | 2015-02-04 | 2017-09-26 | 通力股份公司 | Lift operation panel including touch-screen |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060081076A (en) * | 2005-01-07 | 2006-07-12 | 이재호 | Elevator assign a floor with voice recognition |
| CN102452591A (en) * | 2010-10-19 | 2012-05-16 | 由田新技股份有限公司 | Elevator control system |
| CN102358540B (en) * | 2011-08-31 | 2014-02-05 | 广州日滨科技发展有限公司 | Elevator control system and control method thereof |
| WO2015025341A1 (en) * | 2013-08-21 | 2015-02-26 | 三菱電機株式会社 | Elevator control device |
| WO2015099882A1 (en) * | 2013-12-23 | 2015-07-02 | Bryant Edward A | Elevator control system |
| JP5844418B2 (en) * | 2014-06-05 | 2016-01-13 | 東芝エレベータ株式会社 | Elevator control device and elevator control method |
| US20180052520A1 (en) * | 2016-08-19 | 2018-02-22 | Otis Elevator Company | System and method for distant gesture-based control using a network of sensors across the building |
| CN107055234B (en) * | 2017-04-12 | 2019-03-29 | 歌拉瑞电梯股份有限公司 | Call registration system and elevator |
-
2019
- 2019-06-18 CN CN201910524975.7A patent/CN110386515B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1407945A (en) * | 1999-10-04 | 2003-04-02 | 奥蒂斯电梯公司 | Automatic elevator destination call processing |
| JP2014114132A (en) * | 2012-12-11 | 2014-06-26 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator |
| US9477317B1 (en) * | 2014-04-22 | 2016-10-25 | sigmund lindsay clements | Sanitarily operating a multiuser device using a touch free display |
| CN107207192A (en) * | 2015-02-04 | 2017-09-26 | 通力股份公司 | Lift operation panel including touch-screen |
| JP2017001766A (en) * | 2015-06-04 | 2017-01-05 | 東芝エレベータ株式会社 | Elevator system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110386515A (en) | 2019-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110386515B (en) | Method for controlling elevator stop floor based on artificial intelligence and related equipment | |
| US10189677B2 (en) | Elevator control system with facial recognition and authorized floor destination verification | |
| JP4198602B2 (en) | Operating method and system using video | |
| US8306823B2 (en) | Dialog detecting apparatus, dialog detecting method, and computer program product | |
| EP2116499A1 (en) | Elevator security system | |
| JP2008120549A (en) | Elevator call registration device | |
| CN112607534A (en) | User elevator taking guiding method and system | |
| JP7070749B2 (en) | Elevator controller | |
| CN103905638B (en) | A kind of information processing method and electronic equipment | |
| CN106503628A (en) | method and device for fingerprint matching | |
| CN110765851A (en) | Registration method, device and equipment | |
| JP7552868B2 (en) | Entrance/Exit Management System, Entrance/Exit Management Method, and Recording Medium | |
| JP2010061516A (en) | Operating instruction receiving apparatus | |
| WO2016058540A1 (en) | Identity authentication method and apparatus and storage medium | |
| CN106650364B (en) | Control method and control device | |
| US11164023B2 (en) | Method of enrolling a new member to a facial image database | |
| CN115812201A (en) | Information processing device, license determination method, and program | |
| JP2002251614A (en) | Device, system, method, and program for collating organism | |
| KR101151719B1 (en) | biometrics entrance management system | |
| CN113014815B (en) | Method and device for controlling equipment in closed space, medium and equipment | |
| JP7327543B1 (en) | Face authentication destination floor registration device, elevator system | |
| US11823155B2 (en) | Apparatus and method for processing user information of smart automated machine using face recognition | |
| JP7477481B2 (en) | Theft prevention device, theft prevention holder, theft prevention method, and program | |
| WO2023053372A1 (en) | Elevator control device, elevator control method, elevator control system, and computer-readable medium | |
| JPH0243185A (en) | Elevator system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |