CN114550222A - Dynamic hotel identification guidance system based on Internet of things - Google Patents
Dynamic hotel identification guidance system based on Internet of things Download PDFInfo
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- CN114550222A CN114550222A CN202210434764.6A CN202210434764A CN114550222A CN 114550222 A CN114550222 A CN 114550222A CN 202210434764 A CN202210434764 A CN 202210434764A CN 114550222 A CN114550222 A CN 114550222A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- 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
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention relates to the technical field of Internet of things, in particular to a dynamic hotel identification guidance system based on the Internet of things, which comprises: the identification module is arranged at an entrance of a hotel or an elevator entrance and is used for identifying the identity of a user; the tracking module consists of cameras arranged in the elevator and the corridor, and is used for tracking the user in real time to determine the position of the user; the guiding module consists of profile lamps arranged on the outline and is used for flashing according to the control of the control module so as to indicate the target position to the user; and the control module is used for determining the house number of the user according to the identity of the user, generating a guide route, controlling the tracking module to track the real-time position of the user and controlling the guide module to flicker according to the real-time position of the user. The system provided by the invention determines the user identity, determines the user position and controls the clearance lamp to guide the user to reach the target position, thereby solving the problem of route guidance in the hotel.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a dynamic hotel identification guidance system based on the Internet of things.
Background
The hotel is a relatively closed place, because various personnel are numerous, the relative independence of each space needs to be kept, the design of each room and each lane of the hotel is usually closed, and simultaneously, the whole hotel or the same floor usually adopts the same decoration style for the purpose of unifying the style.
This leads to the problem of inconvenient navigation within the hotel. Navigation in the hotel that prior art provided only indicates the direction through the mode of sign, but not all signs can all be accomplished to show remarkably, lead to the user to ignore easily or walk wrong. In addition, the indication information of the signs is very limited, for example, the distribution of room numbers can be marked at the position of the entrance, and the corresponding room can be found along the distribution direction; but it is not so easy to find one room from another within the same floor; meanwhile, in order to provide navigation illumination at any time, the hotel clearance lamps need to be kept in a normally open state, and energy consumption is high.
It can be seen that there are many deficiencies in the prior art in-hotel location guidance and improvements are needed.
Disclosure of Invention
Based on this, the embodiment of the invention provides a dynamic hotel identification guidance system based on the internet of things, aiming at solving at least one problem provided in the background technology.
The embodiment of the invention is realized in such a way that the dynamic hotel identification guidance system based on the internet of things comprises:
the identification module is arranged at an entrance of a hotel or an elevator entrance and is used for identifying the identity of a user;
the tracking module consists of cameras arranged in the elevator and the corridor, and is used for tracking the user in real time to determine the position of the user;
the guiding module consists of profile lamps arranged on the outline and is used for flashing according to the control of the control module so as to indicate the target position to the user;
and the control module is respectively connected with the identification module, the tracking module and the guiding module and is used for determining the house number of the user according to the identity of the user, generating a guiding route, controlling the tracking module to track the real-time position of the user and controlling the guiding module to flash according to the real-time position of the user.
The system provided by the invention identifies the user identity through the identification module to determine the target position of the user, tracks the real-time position of the user by using the tracking position, and indicates the user to reach the target position by using the clearance lamp according to the tracked position. The system provided by the invention utilizes the original hardware setting in the hotel, does not increase extra hardware facilities, is simple to realize, and can be realized only by introducing a control program into the monitoring system. By adopting the guide system provided by the invention, the contour light can be turned off when no one is available, so that the illumination cost is saved; meanwhile, by adopting the invention, the guidance of any position in the hotel can be carried out by giving the target position, and the problems of one-way indication and unobvious position of the existing fixed indication board are solved.
Drawings
Figure 1 is a block diagram of an internet of things based dynamic hotel identification guidance system in one embodiment;
FIG. 2 is a block diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present disclosure.
As shown in fig. 1, in one embodiment, an internet of things based dynamic hotel identification guidance system is provided, which includes:
the identification module is arranged at an entrance of a hotel or an elevator entrance and is used for identifying the identity of a user;
the tracking module consists of cameras arranged in the elevator and the corridor, and is used for tracking the user in real time to determine the position of the user;
the guiding module consists of profile lamps arranged on the outline and is used for flashing according to the control of the control module so as to indicate the target position to the user;
and the control module is respectively connected with the identification module, the tracking module and the guide model and is used for determining the house number of the user according to the identity of the user, generating a guide route, controlling the tracking module to track the real-time position of the user and controlling the guide module to flash according to the real-time position of the user.
In this embodiment, the identification module includes a camera, the identity of the registered user is determined by face recognition, and since the registered user is bound to a room number in a hotel and the location of a specific room number is determined, for any registered user, the identity of the user is determined by face recognition, that is, the target location of the user, that is, the room location, can be determined, and a guidance path from the current identification location to the target location is generated, and the user can be guided to the target location by the tracking module and the guidance module.
In this embodiment, as another preferred implementation scheme, the recognition module further includes an intelligent doorbell disposed beside each room door, and the intelligent doorbell also has image capturing and face recognition functions and is used for automatically opening a door for a user. In addition, when a user wants to go to another room from a current room or leave a hotel, the intelligent doorbell serves as a sub-module of the recognition module, which is equivalent to the recognition sub-module arranged at the entrance of the hotel or the entrance of the elevator, and provides route guidance with different starting points, and when the route can be determined by combining a voice recognition function, for example, when the user inputs words such as "parking lot", "223 room", "foreground", and the like by voice, the system generates a guidance route according to the current position and the ending position so as to guide the user to a target position. This is merely an equivalent replacement for the identification module of the present invention, which is included in the implementation of the identification module of the present invention. The invention is described with the identification module being arranged at the elevator shaft, unless otherwise specified.
In this embodiment, the tracking module tracks the user who is successfully identified, because the identification module is arranged at an elevator entrance, the user takes the elevator at this position, after the user passes through face identification, the system determines the target position of the user, the elevator can be controlled to automatically run to a corresponding floor, in the process, a camera is arranged in the elevator to lock the user, and if the user leaves midway, the subsequent steps are not carried out. In addition, another effect of the camera in the elevator is to realize the 'hand-over' of the locking user between the camera and the camera arranged outside the corridor, namely, in the process of ensuring that the user walks to the corridor from the elevator, the same user is locked by the two cameras, and the camera can not completely cover the tracking in the scene and the resolution problem of the target user when multiple users are in use.
In this embodiment, the guiding module mainly comprises the contour light installed in the hotel corridor, and the contour light herein may specifically comprise a light group formed by arranging a plurality of light sources, or may also be in the form of a light bar, and the light bar has continuous rows of point light sources, which is convenient for fine control. Unless otherwise specified, the present invention is described by taking a light bar as an example.
In this embodiment, the control module is electrically connected to the modules, and is configured to process and calculate data collected by the modules and generate a control signal. The method can be realized by hardware equipment arranged in a monitoring room, and the method can be realized by compiling software by utilizing a hardware architecture of the monitoring equipment.
The system provided by the invention identifies the user identity through the identification module to determine the target position of the user, tracks the real-time position of the user by using the tracking position, and indicates the user to reach the target position by using the clearance lamp according to the tracked position. The system provided by the invention utilizes the original hardware setting in the hotel, does not increase extra hardware facilities, is simple to realize, and can be realized only by introducing a control program into the monitoring system. By adopting the guide system provided by the invention, the contour light can be turned off when no one is available, so that the illumination cost is saved; meanwhile, by adopting the invention, the guidance of any position in the hotel can be carried out by giving the target position, and the problems of one-way indication and unobvious position of the existing fixed indication board are solved.
As a preferred embodiment, for the camera in the corridor, the real-time tracking of the user comprises:
acquiring an image of a user in the corridor;
identifying a lowest point of a user's contour within the image;
making a horizontal line through the identified lowest point, and determining an intersection point of the horizontal line and the lower side line of the corridor;
determining the length of the intersection point cutting the lower line of the corridor;
and determining the position of the user in the length direction of the corridor according to the obtained length.
In this embodiment, for a camera in a corridor, due to a specific scene of the corridor, a background picture of an image is consistent at any time, a profile of a user in the corridor can be obtained by comparing a difference between a person and an unmanned image, specifically, a pixel value of each point of a current image can be used to subtract the background image (the image of the corridor when no person exists) to obtain a user image, and an outer edge of the user image is the user profile.
In this embodiment, the lowest point of the user contour, i.e., the lowest point of the lower edge of the user contour, is located at the lowest position of the user contour in the image. The lowest point is used as a horizontal line, the obtained horizontal line is intersected with the lower line of the corridor to obtain an intersection point, and the position of the user in the length direction of the corridor can be calculated according to the division ratio of the total length of the lower line of the corridor in the background picture by the intersection point. The lower line of the corridor is a corner line formed by the intersection angle of the ground and the wall surface of the corridor. For example, if the corridor is 10 meters in total length in the background picture and the intersection is located 1/2 meters in length from the edge, it can be determined that the user is 5 meters from the closest position of the edge in the picture.
As a preferred embodiment, for the tracking module, the method further comprises:
a first camera in the elevator collects a plurality of frames of images of a user;
judging whether the user leaves the elevator or not according to the acquired image;
if yes, a second camera in the corridor is informed to track the user path from the exit of the elevator.
In this embodiment, the monitoring camera that first camera utilized originally set up in the elevator, does not increase extra hardware setting. The first camera adopts intermittent image acquisition, so that the image acquisition and processing amount can be effectively reduced. The acquisition interval can be set according to the operation and action of the elevator, for example, the acquisition is carried out once when reaching a floor, and the acquisition is carried out once before opening the door and before closing the door and once after closing the door.
As a preferred embodiment, the determining whether the user walks out of the elevator according to the collected image includes:
acquiring front and rear frames of images with a time interval t;
judging whether the position change of the user in the two frames of images is larger than a set value or not;
if yes, obtaining an image before the elevator is closed;
identifying a lowest point of a user's contour within the image;
and if the straight line is positioned at the inner side of the elevator exit, judging that the user does not go out of the elevator, otherwise, judging that the user has gone out of the elevator.
In the present embodiment, the time interval t may be a specific time difference, such as 1 second, 3 seconds, etc., and is preferably two frames of images having the time interval t before the elevator door is opened and before the elevator door is closed.
In the present embodiment, by subtracting the background image (the image of no person) from the current image, the position of the user, that is, the position of the user's contour in the image, can be determined, and the head, eyes, shoulders, and the like can be taken as references. And judging whether the moving distance of the user is greater than a set value by calculating the change of the reference position in the two images, wherein the set value can be any value between 1/3 and 1/2 of the length or the width of the elevator. The calculation method is also through proportion determination, and the process of determining the position of the user in front can be referred to.
In this embodiment, for a user whose front-rear position change satisfies a set value, an image before the door of the elevator is closed is acquired, and the image includes the pictures inside and outside the elevator. The user is judged to be in the elevator or out of the elevator by identifying the user profile and drawing a parallel line of the lowest points of the profile.
As a preferred embodiment, the second camera tracks the user's path starting at the exit of the elevator, comprising:
determining the height and shoulder width of the user from the first frame of the two acquired images;
adjusting the size of a preset human body model according to the determined height and shoulder width;
determining a first projection outline of the body posture of the user from a second frame of the obtained two frames of images;
placing the human body model in the first projection outline, and enabling the human body model to be attached to the first projection outline by changing node parameters of the human body model;
switching the viewing angle to the orientation of the second camera, and determining a second projection outline of the body posture of the user from the orientation;
acquiring an image of the user walking out of the elevator, which is shot by the second camera;
and identifying the user profile from the image of the user walking out of the elevator, judging whether the identified user profile is the same as the second projection profile, and if so, locking and tracking the user.
In the embodiment, the process is realized by calling a three-dimensional processing program or an interface of a platform, the height and the shoulder width of the user are calculated through the first frame of the two acquired frames of images, and the user is locked through two characteristics of the shoulder width and the height.
In this embodiment, the ratio of the distance between the two end points of the shoulder contour to the fixed dimension of the elevator width is obtained for the shoulder width, from which the user shoulder width can be calculated, since the elevator width is fixed. For example, a user's shoulder width in the image is 0.25 times the width of the elevator, and the dimension (width or length) of the elevator in that direction is 2 meters, which can result in a user's shoulder width of 0.5 meters. For the height, the height can be estimated by only utilizing the ratio of the position of the top of the head of the user to the height of the inner wall of the elevator, for example, the height of the inner wall of the elevator is 2.5 meters, the top of the head of the user is positioned at 0.6 times of the height of the inner wall of the elevator, and the height of the user can be calculated to be 1.5 meters.
In this embodiment, by predicting a mannequin, the joint angles of the limbs of the mannequin can be adjusted, while the height and shoulder width can be adjusted. The human body model is matched with the body shape of the user by adjusting the height and the shoulder width of the human body model. And identifying to obtain a first projection outline, then placing the human body model in the first projection outline, and changing the posture of the human body model by changing the angles of main joints of four limbs of the human body model so as to enable the human body model to be matched with the first projection outline.
And then, in the three-dimensional environment, the visual angle is switched to the position of the second camera, the human body model is observed in the position to obtain a second projection, and the second projection is compared with the posture of the user walking out of the elevator, so that the user is locked. The process realizes the switching tracking of the target user among different cameras.
As a preferred embodiment, for the guidance module, blinking to indicate the target position to the user according to the control of the control module, including:
judging the number of users and the number of target positions according to an elevator exit image acquired by a camera in the corridor, and if the number of the users and the number of the target positions are not unique, blinking a clearance lamp to distinguish paths of more than one user;
after the path distinguishing is carried out, the contour light flickers at the corresponding position according to the real-time position of the user so as to guide the user to go to the target position.
In this embodiment, in an actual process, a situation that multiple users need to go to multiple target locations on the same floor is often encountered, and this embodiment needs to solve this problem. The number of the users can be determined by simple face recognition, and can also be determined according to the recognition result of the recognition module; and the target positions are associated with the users, and the number of the target positions can be obtained after the target users are obtained. For the condition that the user and the target position are not unique, the system and the method achieve the respective guidance of the users at different target positions through the flickering of the profile light.
As a preferred embodiment, the contour light flashes to differentiate paths for more than one user, including:
determining a positive integer n such that 3n is equal to or greater than the number of target positions and 3n is the smallest;
dividing color values of RGB three colors into n sections respectively, and taking an endpoint value of each section to obtain 3n color values;
selecting a plurality of color values from the 3n color values according to the number of the target positions, and enabling the selected color values to correspond to the target positions one by one;
for any target position, controlling the contour light to flash in the direction of the target position by a corresponding color value;
for a direction with multiple target positions, two adjacent profile lamps have different colors, and the colors of every k adjacent profile lamps are repeated, wherein k is the number of target positions in the direction.
In this embodiment, for example, for the R value, the value 0-255 is divided into three segments, one endpoint value may be 85, and the other endpoint value may be 170. In the embodiment, the lengths of the divided segments can be equal, and for non-integer pixel values, rounding can be performed, so that an error of 5-10 is allowed. In this way, 3n colors with large differences can be obtained, and a plurality of colors equal to the number of target positions are arbitrarily selected from the colors, and the colors are displayed by the profile lights to indicate different user directions. Further, for example, if three colors are determined, every three adjacent light sources in the contour light are grouped, and the light sources at the corresponding positions in each group display the same color for distinguishing different target positions of the user. Further, for each color, a different blinking frequency may also be set.
As a preferred embodiment, the contour light flashes to differentiate paths for more than one user, further comprising:
the user is prompted by voice for the association of the target position with the color of the accent light.
In this embodiment, the user may also be notified of the association between the color and the target position or between the color and the user by means of voice prompt.
As a preferred embodiment, the voice prompt module adopts the speakers of each floor of the elevator.
In this embodiment, as an optional specific implementation manner, voice prompt is performed through broadcast speakers at each floor of the elevator without adding hardware.
As a preferred embodiment, the tracking module further comprises a flash lamp, the flash lamp is arranged in the corridor and controlled to flash at a frequency lower than 60Hz, and a camera positioned in the corridor performs image acquisition when the flash lamp flashes, wherein the frequency of image acquisition is not lower than 120 Hz.
In this embodiment, through the setting, the image acquisition of camera in the corridor of can being convenient for sets up the frequency of flash light below 60Hz, can reduce the influence of flash of light to people's eye, improves the frequency of image acquisition to more than 120Hz simultaneously, can utilize the process of flash of light to carry out image acquisition, overcomes the darker image acquisition's of being not convenient for problem of light in the corridor.
FIG. 2 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be the control module in fig. 1. As shown in fig. 2, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to implement the algorithm of the dynamic hotel identification guidance system based on the internet of things provided by the embodiment of the present invention. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may cause the processor to execute the algorithm of the dynamic hotel identification guidance system based on the internet of things according to the embodiment of the present invention. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the configuration shown in fig. 2 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, databases or other media used in the embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A dynamic hotel identification guidance system based on the Internet of things, comprising:
the identification module is arranged at an entrance of a hotel or an elevator entrance and is used for identifying the identity of a user;
the tracking module consists of cameras arranged in the elevator and the corridor, and is used for tracking the user in real time to determine the position of the user;
the guiding module consists of profile lamps arranged on the outline and is used for flashing according to the control of the control module so as to indicate the target position to the user;
and the control module is respectively connected with the identification module, the tracking module and the guiding module and is used for determining the house number of the user according to the identity of the user, generating a guiding route, controlling the tracking module to track the real-time position of the user and controlling the guiding module to flash according to the real-time position of the user.
2. The internet of things-based dynamic hotel identification guidance system of claim 1, wherein for the in-corridor camera, tracking the user in real time comprises:
acquiring an image of a user in the corridor;
identifying a lowest point of a user's contour within the image;
making a horizontal line through the identified lowest point, and determining an intersection point of the horizontal line and the lower side line of the corridor;
determining the length of the intersection point cutting the lower line of the corridor;
and determining the position of the user in the length direction of the corridor according to the obtained length.
3. The internet of things based dynamic hotel identification guidance system of claim 1, further comprising, for the tracking module:
a first camera in the elevator collects a plurality of frames of images of a user;
judging whether the user leaves the elevator or not according to the acquired image;
if yes, a second camera in the corridor is informed to track the user path from the exit of the elevator.
4. The internet of things-based dynamic hotel identification guidance system of claim 3, wherein determining whether the user is leaving the elevator based on the collected images comprises:
acquiring front and rear frames of images with a time interval t;
judging whether the position change of the user in the two frames of images is larger than a set value or not;
if so, acquiring an image before the elevator is closed;
identifying a lowest point of a user's contour within the image;
and if the straight line is positioned at the inner side of the elevator exit, judging that the user does not go out of the elevator, otherwise, judging that the user has gone out of the elevator.
5. The internet of things-based dynamic hotel identification guidance system of claim 4, wherein the second camera tracks the user's path from the elevator exit, comprising:
determining the height and shoulder width of the user from the first of the two acquired images;
adjusting the size of a preset human body model according to the determined height and shoulder width;
determining a first projection outline of the body posture of the user from a second frame of the obtained two frames of images;
placing the human body model in the first projection outline, and enabling the human body model to be attached to the first projection outline by changing node parameters of the human body model;
switching the viewing angle to the orientation of the second camera, and determining a second projection outline of the body posture of the user from the orientation;
acquiring an image of the user walking out of the elevator, which is shot by the second camera;
and identifying the user contour from the image of the user walking out of the elevator, judging whether the identified user contour is the same as the second projection contour, and locking and tracking the user if the identified user contour is the same as the second projection contour.
6. The internet of things based dynamic hotel identification guidance system of claim 1, wherein for the guidance module to flash to indicate the target location to the user according to the control of the control module, comprising:
judging the number of users and the number of target positions according to an elevator exit image acquired by a camera in the corridor, and if the number of the users and the number of the target positions are not unique, blinking a clearance lamp to distinguish paths of more than one user;
after the path distinguishing is carried out, the contour light flickers at the corresponding position according to the real-time position of the user so as to guide the user to go to the target position.
7. The internet of things based dynamic hotel identification guidance system of claim 6, wherein flashing the light for a profile to differentiate paths for more than one user comprises:
determining a positive integer n such that 3n is equal to or greater than the number of target positions and 3n is the smallest;
dividing color values of RGB three colors into n sections respectively, and taking an endpoint value of each section to obtain 3n color values;
selecting a plurality of color values from the 3n color values according to the number of the target positions, and enabling the selected color values to correspond to the target positions one by one;
for any target position, controlling the contour light to flash in the direction of the target position by a corresponding color value;
for a direction with multiple target positions, two adjacent profile lamps have different colors, and the colors of every k adjacent profile lamps are repeated, wherein k is the number of target positions in the direction.
8. The internet of things based dynamic hotel identification guidance system of claim 6, wherein the profile lights flash to differentiate paths for more than one user, further comprising:
the user is prompted by voice for the association of the target position with the color of the accent light.
9. The internet of things-based dynamic hotel identification guidance system of claim 8, wherein the voice prompt module employs speakers for each floor of the elevator.
10. The internet of things-based dynamic hotel identification and guidance system according to claim 1, wherein the tracking module further comprises a flash lamp, the flash lamp is arranged in the corridor and controlled to flash at a frequency lower than 60Hz, a camera located in the corridor performs image acquisition when the flash lamp flashes, and the frequency of image acquisition is not lower than 120 Hz.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210434764.6A CN114550222B (en) | 2022-04-24 | 2022-04-24 | Dynamic hotel mark guidance system based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210434764.6A CN114550222B (en) | 2022-04-24 | 2022-04-24 | Dynamic hotel mark guidance system based on Internet of things |
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| CN114550222A true CN114550222A (en) | 2022-05-27 |
| CN114550222B CN114550222B (en) | 2022-07-08 |
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