CN114513619A - Simulated smell transmission system, method, computer equipment and storage medium - Google Patents

Simulated smell transmission system, method, computer equipment and storage medium Download PDF

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Publication number
CN114513619A
CN114513619A CN202210011800.8A CN202210011800A CN114513619A CN 114513619 A CN114513619 A CN 114513619A CN 202210011800 A CN202210011800 A CN 202210011800A CN 114513619 A CN114513619 A CN 114513619A
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client
characteristic
odor
determining
pixel points
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康稷浩
康望才
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Hunan Golden Changlian Technology Co ltd
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Hunan Golden Changlian Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/14Systems for two-way working
    • H04N7/141Systems for two-way working between two video terminals, e.g. videophone
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/14Systems for two-way working
    • H04N7/141Systems for two-way working between two video terminals, e.g. videophone
    • H04N7/147Communication arrangements, e.g. identifying the communication as a video-communication, intermediate storage of the signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12Messaging; Mailboxes; Announcements
    • H04W4/14Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to the technical field of reality simulation, and particularly discloses a simulated odor transmission system, a method, computer equipment and a storage medium, wherein the method comprises the steps of receiving a video call request sent by a first client, sending an environment acquisition request to the first client, and acquiring environment information of the first client; carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area, and determining an odor type according to the content recognition result; calculating a distance between the feature area and a user based on the environment image, and determining an odor simulation time according to the distance; and establishing a connection channel, and sending the odor type and the odor simulation time to an odor release module of the second client. According to the invention, the odor is simulated by acquiring the environment image and determining the odor type and the occurrence time of the odor according to the environment image, so that the quality of video call of a user is greatly improved.

Description

Simulated smell transmission system, method, computer equipment and storage medium
Technical Field
The invention relates to the technical field of reality simulation, in particular to a simulated smell transmission system, a simulated smell transmission method, computer equipment and a storage medium.
Background
Virtual Reality (VR) is a very popular keyword in the current science and technology field, but the current VR basically only stays in the control of sound and image, and there is basically no breakthrough in the aspects of smell and taste. With the development of science and technology, people also strive towards the direction, in the prior art, two schemes are mainly used for realizing the simulation of smell and taste, one scheme is based on chemical products, the proportion is determined, and the smell is generated; the other is to stimulate nerves directly, cheat the brain and generate odor. The latter solution is considered to be more advanced but is difficult to implement, and the former solution, although somewhat clumsy, is not difficult to implement and will be an alternative to the latter solution for a long time.
In the existing video call process, the common smell does not exist, and if the two parties of the video call can have olfactory interaction by means of the existing smell generator, the experience of the video call can be greatly improved. How to enable two parties of a video call to have olfactory interaction by means of the existing odor generator is the technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
It is an object of the present invention to provide a simulated odor transmission system, method, computer device and storage medium to solve the above-mentioned problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a simulated scent delivery system, the system comprising:
the environment information acquisition module is used for receiving a video call request sent by a first client, sending an environment acquisition request to the first client and acquiring environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
the odor type determining module is used for carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area and determining an odor type according to a content recognition result;
the simulation time determining module is used for calculating the distance between the characteristic area and a user based on the environment image and determining the smell simulation time according to the distance;
and the information transmission module is used for trying to establish a connection channel between the first client and the second client, and sending the odor type and the odor simulation time to the odor release module of the second client when the connection channel between the first client and the second client is successfully established.
As a further scheme of the invention: the environment information acquisition module includes:
the access report generation unit is used for receiving a video call request sent by a first client and generating an access report containing a position name item and an access frequency item;
the number reading unit is used for sending a position acquisition request to the first client, acquiring position data of the first client, traversing the access report based on the position name and judging whether the position name appears repeatedly; if so, positioning the corresponding access times item based on the position name, and reading the corresponding access times; if not, inserting the position name into an access report, and assigning the corresponding access times as one;
and the identity authentication unit is used for comparing the access times with a preset access threshold value, and when the access times reach the preset access threshold value, carrying out face recognition on the user.
As a further scheme of the invention: the step of the first client acquiring the location data comprises:
sending first short message data to a positioning server, wherein the first short message data comprises a positioning request;
receiving and analyzing second short message data, wherein the second short message data is generated by the positioning server according to satellite capturing auxiliary data;
generating pseudo-range measurement data based on the analyzed second short message data;
converting the pseudo-range measurement data into third short message data, and sending the third short message data to a positioning server;
and receiving fourth short message data, wherein the fourth short message data is generated by the positioning server according to the position information of the client, and the fourth short message data comprises a position name.
As a further scheme of the invention: the scent type determination module includes:
the color value determining unit is used for traversing pixel points in the regional image, acquiring color values of the pixel points, and converting the color values of the pixel points according to a preset conversion formula to obtain characteristic values of the pixel points;
the comparison unit is used for reading the characteristic values of the adjacent pixel points in sequence, calculating the characteristic value difference of the adjacent pixel points and comparing the characteristic value difference with a preset tolerance;
the marking unit is used for marking the pixel point when the characteristic value difference is more than the tolerance, and continuously reading the next adjacent pixel point when the characteristic value difference is less than the tolerance;
and the connecting unit is used for generating a characteristic outline based on the marked pixel points and determining a characteristic area according to the characteristic outline.
As a further scheme of the invention: the scent type determination module further comprises:
the sorting unit is used for calculating the number of pixel points of the characteristic region and sorting the characteristic region according to the number of the pixel points;
the feature determining unit is used for sequentially extracting the sorted feature regions, traversing a preset reference image library based on the feature regions and determining features; wherein the library of reference images is determined by the concentration of the target gas in the air parameters;
and the first processing execution unit is used for determining the odor type according to the characteristic object.
As a further scheme of the invention: the analog time determination module includes:
the scale determining unit is used for reading a feature, reading the image size and the reference size of the feature, and determining a scale according to the image size and the reference size;
the actual distance calculation unit is used for acquiring the image distance between the feature object and the user based on the environment image and calculating the actual distance according to the image distance and the scale;
and the second processing execution unit is used for reading a wind direction parameter and a wind speed parameter in the air parameters and determining the smell simulation time according to the wind speed parameter and the actual distance.
The technical scheme of the invention also provides a simulated smell transmission method, which comprises the following steps:
receiving a video call request sent by a first client, sending an environment acquisition request to the first client, and acquiring environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area, and determining an odor type according to the content recognition result;
calculating a distance between the feature area and a user based on the environment image, and determining an odor simulation time according to the distance;
and attempting to establish a connection channel between a first client and a second client, and sending the odor type and the odor simulation time to an odor release module of the second client when the connection channel between the first client and the second client is successfully established.
As a further scheme of the invention: the steps of carrying out contour recognition on the environment image, positioning a characteristic region according to a contour recognition result, carrying out content recognition on the characteristic region, and determining the odor type according to the content recognition result comprise:
traversing pixel points in the regional image, acquiring color values of the pixel points, and converting the color values of the pixel points according to a preset conversion formula to obtain characteristic values of the pixel points;
sequentially reading the characteristic values of adjacent pixel points, calculating the characteristic value difference of the adjacent pixel points, and comparing the characteristic value difference with a preset tolerance;
when the characteristic value difference is larger than the tolerance, marking the pixel point, and when the characteristic value difference is smaller than the tolerance, continuously reading the next adjacent pixel point;
and generating a characteristic contour based on the marked pixel points, and determining a characteristic region according to the characteristic contour.
The technical scheme of the invention also provides computer equipment which comprises one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and when the program code is loaded and executed by the one or more processors, the simulated odor transmission method is realized.
The technical scheme of the invention also provides a storage medium, wherein at least one program code is stored in the storage medium, and the program code is loaded and executed by a processor to realize the simulated odor transmission method.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the odor is simulated by acquiring the environment image and determining the odor type and the occurrence time of the odor according to the environment image, so that the quality of video call of a user is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a block diagram of the components of an analog scent delivery system.
Fig. 2 shows a block diagram of the configuration of the environmental information acquisition module in the simulated odor transmission system.
Fig. 3 shows a block diagram of the composition of the odor type determination module in the simulated odor delivery system.
Fig. 4 shows a block diagram of the composition of the simulated time determination module in the simulated scent delivery system.
Fig. 5 shows a block flow diagram of a simulated scent delivery method.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in 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.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, etc. may be used herein to describe various modules in embodiments of the invention, these modules should not be limited by these terms. These terms are only used to distinguish one type of module from another. For example, a first client may also be referred to as a second client without necessarily requiring or implying any such actual relationship or order between such entities or operations, without departing from the scope of embodiments of the present invention. Similarly, the second client may also be referred to as the first client. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 shows a block diagram of the components of an analog scent delivery system, in an embodiment of the present invention, the system 10 includes:
the environment information acquiring module 11 is configured to receive a video call request sent by a first client, send an environment acquiring request to the first client, and acquire environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
the odor type determining module 12 is configured to perform contour recognition on the environment image, locate a feature area according to a contour recognition result, perform content recognition on the feature area, and determine an odor type according to the content recognition result;
a simulation time determining module 13, configured to calculate a distance between the feature area and the user based on the environment image, and determine a smell simulation time according to the distance;
and the information transmission module 14 is used for attempting to establish a connection channel between the first client and the second client, and when the connection channel between the first client and the second client is successfully established, sending the odor type and the odor simulation time to the odor release module of the second client.
The system faces a scene of a video call process, at least two video call parties exist in the video call process, and in the content, the two video call parties are distinguished through a first client and a second client. The client side comprises odor release modules, and it should be noted that the number of the odor release modules is limited, and under the prior art, only about five kinds of odors are possible. In addition, in the background of the prior art, the client of the technical solution of the present invention is generally a fixed electronic device, which is not a mobile smart phone.
When a video call request sent by a first client is received, acquiring environment information of the first client, wherein the environment information comprises an environment image and air parameters, the air parameters are completed by certain air detection equipment, and the data number of the air parameters is determined according to the type of the detection equipment; it is worth mentioning that existing air detection devices are basically chemical based devices, which are mostly consumables. The environment image is a panoramic image.
Determining an object containing the smell in the environment according to the panoramic image, calculating the distance between the object containing the smell and the user, then determining the type of the smell, and determining the releasing time and the lasting time of the smell according to the distance and the air parameters.
Fig. 2 shows a block diagram of the structure of an environmental information acquisition module in the simulated odor transmission system, wherein the environmental information acquisition module 11 comprises:
an access report generation unit 111, configured to receive a video call request sent by a first client, and generate an access report including a location name item and an access number item;
a number reading unit 112, configured to send a location obtaining request to the first client, obtain location data of the first client, traverse an access report based on the location name, and determine whether the location name appears repeatedly; if so, positioning the corresponding access times item based on the position name, and reading the corresponding access times; if not, inserting the position name into an access report, and assigning the corresponding access times as one;
and the identity verification unit 113 is configured to compare the access times with a preset access threshold, and perform face recognition on the user when the access times reach the preset access threshold.
The access report comprises a position name item and an access times item, other items can be added into the report as auxiliary items, and the position name item and the access times item are necessary;
when the user position is obtained every time, a position name is finally obtained, whether the position name appears repeatedly in the access report is judged, and the position name is actually a conditional cycle statement; it is worth mentioning that when the position is obtained for the first time, the access report is an empty report, and at this time, the position name must not repeatedly appear, so that when the position is obtained for the first time, the position name is inserted into the access report, and the access frequency is assigned to be one;
the content has two flows, but the two flows both return a common value, namely, the number of visits; when the access times are higher, a further identification process is not needed, if the access times are too low, the user accesses a new place, further identification is needed, and in the above contents, a face identification mode is adopted for further identity identification.
As a preferred embodiment of the technical solution of the present invention, the step of the first client acquiring the location data includes:
sending first short message data to a positioning server, wherein the first short message data comprises a positioning request;
receiving and analyzing second short message data, wherein the second short message data is generated by the positioning server according to satellite capturing auxiliary data;
generating pseudo-range measurement data based on the analyzed second short message data;
converting the pseudo-range measurement data into third short message data, and sending the third short message data to a positioning server;
and receiving fourth short message data, wherein the fourth short message data is generated by the positioning server according to the position information of the client, and the fourth short message data comprises a position name.
The positioning request is carried out in a short message mode, and the signal transmission mode is more stable and more stable than a wireless network transmission signal; the first short message data includes a positioning request, and the purpose of the first short message data is to send a request, and certainly, other information, such as user identity information and the like, may be assisted, which is not described in detail, and only needs to achieve the purpose of sending the request.
After receiving the first short message data, the positioning server sends second short message data to the terminal, wherein the second short message data is generated by the positioning server according to satellite acquisition auxiliary data, the step is a feedback signal sent by the positioning server and a request signal, the positioning server sends a request to the terminal, and the request content is pseudo-range measurement data acquisition, so that the positioning process is more accurate, and the step is a common step in positioning service; and finally, the terminal receives the second short message data and analyzes the second short message data, namely, analyzes the request sent by the positioning server and confirms the data required by the positioning obedient.
And analyzing the second short message data, acquiring various data required by the positioning server, and generating pseudo-range measurement data based on the data, wherein the process belongs to a conventional positioning service process, and is actually a signal acquisition process for acquiring the data required by the positioning server for accurate positioning.
And converting the pseudo-range measurement data into third short message data, wherein the step is a data conversion process, namely converting the formats of various pseudo-range measurement data into short message data with a uniform format, and sending the short message data to a positioning server.
The content is received for the terminal equipment, and the actual process is that the positioning server receives third short message data, then generates fourth short message data based on the third short message data, and sends the fourth short message data to the terminal equipment; the fourth short message data is generated by the positioning server according to the position information of the client, and the fourth short message data comprises a position name which is necessary data, and other data are not indispensable data in the invention.
Fig. 3 shows a block diagram of the structure of the odor type determination module in the simulated odor delivery system, wherein the odor type determination module 12 comprises:
the color value determining unit 121 is configured to traverse a pixel point in the region image, acquire a color value of the pixel point, and convert the color value of the pixel point according to a preset conversion formula to obtain a characteristic value of the pixel point;
a comparison unit 122, configured to sequentially read feature values of adjacent pixels, calculate a feature value difference between adjacent pixels, and compare the feature value difference with a preset tolerance;
a marking unit 123, configured to mark the pixel point when the feature value difference is greater than the tolerance, and continue to read a next adjacent pixel point when the feature value difference is smaller than the tolerance;
a connecting unit 124, configured to generate a feature profile based on the marked pixel points, and determine a feature region according to the feature profile.
The above-mentioned content defines the process of contour recognition, and firstly, the feature transformation is performed on the region image according to the preset formula, which is performed because the region image is often an RGB image, each pixel point has three independent values, and the three independent values are very inconvenient in the operation process, so that the feature transformation is required, the feature transformation process may be a Gray scale transformation process, and then the corresponding transformation formula may be Gray (Red 0.3+ Green 0.59+ Blue 0.11).
The determination of the feature profile can then be used to reference the magic wand tool in Photoshop, which has the principle of marking the profile with tolerances.
Further, the odor type determination module further comprises:
the sorting unit is used for calculating the number of pixel points of the characteristic region and sorting the characteristic region according to the number of the pixel points;
the feature determining unit is used for sequentially extracting the sorted feature regions, traversing a preset reference image library based on the feature regions and determining features; wherein the library of reference images is determined by the concentration of the target gas in the air parameters;
and the first processing execution unit is used for determining the odor type according to the characteristic object.
On the premise of determining the characteristic contour, the specific identification process is a comparison process, the air parameters determine the environmental information at first, the capacity of the air parameters for determining the environmental information is generally low, and only indoor or outdoor can be distinguished; in particular, during the comparison, the elements in the library of reference images are limited, which are also relevant to the scent type of the scent releaser, and if no feature is identified, it is not considered anymore, because the scent releaser is also unable to provide the scent of the feature.
Fig. 4 shows a block diagram of the structure of a simulation time determination module in the simulated scent delivery system, wherein the simulation time determination module 13 comprises:
a scale determining unit 131 configured to read a feature, read an image size and a reference size of the feature, and determine a scale according to the image size and the reference size;
an actual distance calculation unit 132, configured to obtain an image distance between the feature and the user based on the environment image, and calculate an actual distance according to the image distance and the scale;
and a second processing execution unit 133, configured to read a wind direction parameter and a wind speed parameter in the air parameters, and determine the odor simulation time according to the wind speed parameter and the actual distance.
The process of determining the actual distance from the image requires a scale to be determined, the scale can be determined by the feature, and it is worth mentioning that if the feature is not present, the above process of calculating the odor simulation time is unnecessary, and no calculation is needed.
Example 2
Fig. 5 shows a block flow diagram of a simulated scent delivery method, in an embodiment of the invention, the simulated scent delivery method includes:
step S100: receiving a video call request sent by a first client, sending an environment acquisition request to the first client, and acquiring environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
step S200: carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area, and determining the odor type according to the content recognition result;
step S300: calculating a distance between the feature area and a user based on the environment image, and determining an odor simulation time according to the distance;
step S400: and attempting to establish a connection channel between a first client and a second client, and sending the odor type and the odor simulation time to an odor release module of the second client when the connection channel between the first client and the second client is successfully established.
Further, the step of performing contour recognition on the environment image, locating a feature area according to a contour recognition result, performing content recognition on the feature area, and determining the odor type according to the content recognition result includes:
traversing pixel points in the regional image, acquiring color values of the pixel points, and converting the color values of the pixel points according to a preset conversion formula to obtain characteristic values of the pixel points;
sequentially reading the characteristic values of adjacent pixel points, calculating the characteristic value difference of the adjacent pixel points, and comparing the characteristic value difference with a preset tolerance;
when the characteristic value difference is larger than the tolerance, marking the pixel point, and when the characteristic value difference is smaller than the tolerance, continuously reading the next adjacent pixel point;
and generating a characteristic contour based on the marked pixel points, and determining a characteristic region according to the characteristic contour.
The functions enabled by the simulated scent delivery system are each performed by a computer device that includes one or more processors and one or more memories having stored therein at least one program code that is loaded into and executed by the one or more processors to implement the functions of the simulated scent delivery system.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
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 of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. 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 terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A simulated scent delivery system, the system comprising:
the environment information acquisition module is used for receiving a video call request sent by a first client, sending an environment acquisition request to the first client and acquiring environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
the odor type determining module is used for carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area and determining an odor type according to a content recognition result;
the simulation time determining module is used for calculating the distance between the characteristic area and a user based on the environment image and determining the smell simulation time according to the distance;
and the information transmission module is used for trying to establish a connection channel between the first client and the second client, and sending the odor type and the odor simulation time to the odor release module of the second client when the connection channel between the first client and the second client is successfully established.
2. The simulated scent delivery system of claim 1 wherein said environmental information acquisition module comprises:
the access report generation unit is used for receiving a video call request sent by a first client and generating an access report containing a position name item and an access frequency item;
the number reading unit is used for sending a position acquisition request to the first client, acquiring position data of the first client, traversing the access report based on the position name and judging whether the position name appears repeatedly; if so, positioning the corresponding access times item based on the position name, and reading the corresponding access times; if not, inserting the position name into an access report, and assigning the corresponding access times as one;
and the identity authentication unit is used for comparing the access times with a preset access threshold value, and when the access times reach the preset access threshold value, carrying out face recognition on the user.
3. The simulated scent delivery system of claim 2 wherein the step of the first client obtaining location data comprises:
sending first short message data to a positioning server, wherein the first short message data comprises a positioning request;
receiving and analyzing second short message data, wherein the second short message data is generated by the positioning server according to satellite capturing auxiliary data;
generating pseudo-range measurement data based on the analyzed second short message data;
converting the pseudo-range measurement data into third short message data, and sending the third short message data to a positioning server;
and receiving fourth short message data, wherein the fourth short message data is generated by the positioning server according to the position information of the client, and the fourth short message data comprises a position name.
4. The simulated scent delivery system of claim 1 wherein said scent type determination module comprises:
the color value determining unit is used for traversing pixel points in the regional image, acquiring color values of the pixel points, and converting the color values of the pixel points according to a preset conversion formula to obtain characteristic values of the pixel points;
the comparison unit is used for reading the characteristic values of the adjacent pixel points in sequence, calculating the characteristic value difference of the adjacent pixel points and comparing the characteristic value difference with a preset tolerance;
the marking unit is used for marking the pixel point when the characteristic value difference is more than the tolerance, and continuously reading the next adjacent pixel point when the characteristic value difference is less than the tolerance;
and the connecting unit is used for generating a characteristic outline based on the marked pixel points and determining a characteristic area according to the characteristic outline.
5. The simulated scent delivery system of claim 4 wherein said scent type determination module further comprises:
the sorting unit is used for calculating the number of pixel points of the characteristic region and sorting the characteristic region according to the number of the pixel points;
the feature determining unit is used for sequentially extracting the sorted feature regions, traversing a preset reference image library based on the feature regions and determining features; wherein the library of reference images is determined by the concentration of the target gas in the air parameters;
and the first processing execution unit is used for determining the odor type according to the characteristic object.
6. The simulated scent delivery system of claim 5 wherein said simulated time determination module comprises:
the scale determining unit is used for reading a feature, reading the image size and the reference size of the feature, and determining a scale according to the image size and the reference size;
the actual distance calculation unit is used for acquiring the image distance between the feature object and the user based on the environment image and calculating the actual distance according to the image distance and the scale;
and the second processing execution unit is used for reading a wind direction parameter and a wind speed parameter in the air parameters and determining the smell simulation time according to the wind speed parameter and the actual distance.
7. A method of simulated scent delivery, the method comprising:
receiving a video call request sent by a first client, sending an environment acquisition request to the first client, and acquiring environment information of the first client; the environment information comprises an environment image and air parameters, the environment image is a panoramic image, and the air parameters at least comprise target gas concentration, wind direction parameters and wind speed parameters; the type of the target gas is a preset limited value;
carrying out contour recognition on the environment image, positioning a characteristic area according to a contour recognition result, carrying out content recognition on the characteristic area, and determining an odor type according to the content recognition result;
calculating a distance between the feature area and a user based on the environment image, and determining an odor simulation time according to the distance;
and attempting to establish a connection channel between a first client and a second client, and sending the odor type and the odor simulation time to an odor release module of the second client when the connection channel between the first client and the second client is successfully established.
8. The method of claim 7, wherein the steps of performing contour recognition on the environment image, locating a feature area according to a result of the contour recognition, performing content recognition on the feature area, and determining the odor type according to the result of the content recognition comprise:
traversing pixel points in the regional image, acquiring color values of the pixel points, and converting the color values of the pixel points according to a preset conversion formula to obtain characteristic values of the pixel points;
sequentially reading the characteristic values of adjacent pixel points, calculating the characteristic value difference of the adjacent pixel points, and comparing the characteristic value difference with a preset tolerance;
when the characteristic value difference is larger than the tolerance, marking the pixel point, and when the characteristic value difference is smaller than the tolerance, continuously reading the next adjacent pixel point;
and generating a characteristic contour based on the marked pixel points, and determining a characteristic region according to the characteristic contour.
9. A computer device comprising one or more processors and one or more memories having stored therein at least one program code, the program code when loaded and executed by the one or more processors, implementing a simulated scent delivery method as claimed in claims 7-8.
10. A storage medium having stored therein at least one program code which, when loaded and executed by a processor, implements a simulated scent delivery method as claimed in claims 7-8.
CN202210011800.8A 2022-01-05 2022-01-05 Simulated smell transmission system, method, computer equipment and storage medium Withdrawn CN114513619A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114971932A (en) * 2022-07-29 2022-08-30 深圳慢云智能科技有限公司 Artificial intelligence social contact method and system based on apartment house intelligent space

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114971932A (en) * 2022-07-29 2022-08-30 深圳慢云智能科技有限公司 Artificial intelligence social contact method and system based on apartment house intelligent space

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