Next generation scent display system using ai and big data

Abstract

The present invention relates to a next generation scent display system using AI and big data, the next generation scent display system comprising: an image reading module which is trained on the basis of a deep training method and which reads and detects an image requiring a scent from image information that is output from an image device; a scent detection module which is trained on the basis of the deep training method, and which analyzes the image information read and detected by the image reading module so as to detect scent information matching the image information; a scent combination module which is trained on the basis of the deep training method, and which combines scent sources of a scent emission unit on the basis of the scent information matching the image information detected by the scent detection module, so as to generate a scent; and the scent emission unit, which is controlled by the scent combination module, generates a scent through a plurality of possessed scent sources or a combination of the scent sources, and emits the generated scent into the surroundings.

Description

A next-generation scent expression system utilizing AI and big data

[0001] The present invention relates to a next-generation scent display system utilizing AI and big data, and more particularly, to a next-generation scent display system utilizing AI and big data that can maximize a user's sense of immersion in a video by reading and detecting an image requiring a scent from real-time image information output from a video device, detecting scent information matching the detected image, and then combining various types of scent sources to generate and emit a scent identical to / similar to the detected scent information, thereby significantly increasing the realism of the video due to a natural scent matching the image output from the video device.

[0002] In general, devices such as Virtual Reality (VR) devices, TVs, holograms, and smartphones (hereinafter referred to as “video equipment”) are devices that output images, and various efforts are being made to improve the immersion and realism of images output through such video equipment.

[0003] For example, 3D glasses that allow users to view videos in 3D in places such as movie theaters, and devices that generate and supply wind, moisture, and scents to maximize the realism of videos are being developed and used.

[0004] However, the device that supplies fragrance in a movie theater as described above is a one-dimensional fragrance supply device that supplies only a set fragrance at a set time, and thus has the problem of being difficult to practically apply to video equipment that outputs various images in real time.

[0005] Moreover, the above-mentioned fragrance supply device has the problem that the versatility of the device is very low because it cannot produce a combination of various fragrances due to its characteristic of supplying only a set fragrance.

[0006] The present invention has been proposed to solve the above-mentioned problems, and its purpose is to provide a next-generation scent display system utilizing AI and big data that can maximize the user's sense of immersion in the video by reading and detecting an image requiring a scent from real-time image information output from a video device, detecting scent information matching the detected image, and then combining various types of scent sources to generate and emit a scent identical / similar to the detected scent information, thereby significantly increasing the realism of the video due to a natural scent matching the video output from the video device.

[0007] In addition, the image interpretation module, scent detection module, and scent combination module learn by converting information collected from various sites accessible through the Internet into big data, and thus, based on real-time image information output from the video equipment, it is possible to secure excellent reliability of the scent generated and emitted to match the image, and it is possible to provide a next-generation scent expression system that utilizes AI and big data that can secure excellent reliability of the scent generated and emitted to match the image by relearning through feedback according to the success or failure of the performance result.

[0008] In addition, we are providing a next-generation scent expression system that utilizes AI and big data to secure excellent usability of the system by freely generating and emitting scents suitable for the image information output in real time by applying it to video equipment that outputs various images.

[0009] In order to achieve the above purpose, the next-generation scent expression system utilizing AI and big data according to the present invention is characterized by comprising: an image reading module that learns based on a deep learning method and reads and detects an image requiring a scent from image information output from an image device; a scent detection module that learns based on a deep learning method and analyzes the image information read and detected by the image reading module to detect scent information matching the image information; a scent combination module that learns based on a deep learning method and generates a scent by combining scent sources of a scent emitting unit based on scent information matching the image information detected by the scent detection module; and a scent emitting unit that is controlled by the scent combination module and generates a scent through a plurality of scent sources or a combination of the scent sources and emitting the generated scent to the surroundings.

[0010] In addition, it is characterized in that it learns based on a deep learning method, and further includes a language reading module that extracts words and letters related to scent from among the words and letters exposed in the image information detected by the image reading module and transmits them to the scent detection module.

[0011] In addition, the image reading module, the scent detection module, the scent combination module, and the language reading module are characterized in that they receive feedback on the success or failure of the performance results and relearn them, thereby improving the reliability of the performance results performed by the image reading module, the scent detection module, the scent combination module, and the language reading module.

[0012] In addition, the fragrance emitting unit is characterized by comprising a plurality of storage chambers in which fragrances in gaseous, solid, or liquid forms are stored therein, each of which stores a different fragrance, a spraying member that is controlled through the fragrance combination module and is connected in communication with the storage chambers to determine the opening and closing of the storage chambers and sprays the fragrance when the storage chambers are opened, a mixing discharge member that is connected in communication with the spraying member so that the fragrances sprayed through the spraying member are mixed and distributed, and has at least one discharge port through which the fragrances are mixed and the generated fragrance is discharged and distributed to the outside, and a fan member that is controlled through the fragrance combination module and supplies wind to the mixing discharge member so that the fragrance distributed through the mixing discharge member is forcibly discharged through the discharge port.

[0013] In addition, the video equipment is implemented as a virtual reality device, and further comprises a fragrance supply unit that induces the fragrance generated and emitted from the fragrance emitting unit to be emitted around the nose of a user using the video equipment; wherein the fragrance supply unit is fixedly coupled to the video equipment and includes a supply cap that has a space formed inside and is formed to surround the nose of the user, a supply member that has one end connected to the discharge port of the mixing discharge member and the other end connected to the supply cap to guide the fragrance emitted through the discharge port into the interior of the supply cap, a plurality of discharge holes formed in the lower portion of the supply cap, and an exhaust fan that sucks in and discharges outside air into the interior of the supply cap and forcibly discharges the air inside the supply cap to the exterior through the discharge holes.

[0014] In addition, it is characterized in that it further includes a manual control unit that allows a user to directly select a desired scent, and when a desired scent is selected through the manual control unit, the scent combination module combines scent sources through the scent emitting unit so that the scent selected by the user can be generated and emitted.

[0015] According to the next-generation scent display system utilizing AI and big data according to the present invention, an image requiring a scent is read and detected from real-time image information output from a video device, scent information matching the detected image is detected, and then various types of scent sources are combined to generate and emit a scent identical / similar to the detected scent information, thereby significantly increasing the realism of the image due to a natural scent matching the image output from the video device, thereby inducing the user's sense of immersion in the image to be maximized.

[0016] In addition, the image interpretation module, scent detection module, and scent combination module learn by converting information collected from various sites accessible through the Internet into big data, and thus, based on real-time image information output from the video equipment, it is possible to secure excellent reliability of the scent generated and emitted to match the image, and it is possible to secure excellent reliability of the scent generated and emitted to match the image by relearning through feedback according to the success or failure of the performance result.

[0017] In addition, it has the effect of securing excellent usability of the system by being able to freely generate and emit scents suitable for the image information output in real time by applying it to image equipment that outputs various images.

[0018] Figure 1 is a conceptual diagram of a next-generation fragrance expression system utilizing AI and big data according to an embodiment of the present invention.

[0019] Figure 2 is a drawing illustrating a fragrance emission unit of a next-generation fragrance expression system utilizing AI and big data illustrated in Figure 1.

[0020] Figures 3, 4, and 5 are drawings for explaining the next-generation fragrance expression system utilizing AI and big data shown in Figure 1.

[0021] Figure 6 is a diagram illustrating the relearning process of the next-generation scent expression system utilizing AI and big data illustrated in Figure 1.

[0022] FIG. 7 is a diagram illustrating a next-generation fragrance expression system utilizing AI and big data according to another embodiment of the present invention.

[0023] 〈Explanation of symbols for major parts of the drawing〉

[0024] 1. Video equipment

[0025] 10. Image interpretation module 20. Scent detection module

[0026] 30. Fragrance Combination Module 40. Fragrance Emission Unit

[0027] 50. Language reading module 60. Fragrance supply unit

[0028] 70. Manual control unit

[0029] The present invention relates to a next-generation scent expression system utilizing AI and big data, and is characterized in that it comprises an image interpretation module that learns based on a deep learning method and interprets and detects an image requiring a scent from image information output from an image device, a scent detection module that learns based on a deep learning method and analyzes the image information interpreted and detected by the image interpretation module to detect scent information matching the image information, a scent combination module that learns based on a deep learning method and generates a scent by combining scent sources of a scent emission unit based on scent information matching the image information detected by the scent detection module, and a scent emission unit that is controlled by the scent combination module and generates a scent through a plurality of scent sources or a combination of the scent sources, and emits the generated scent to the surroundings.

[0030] A next-generation fragrance expression system utilizing AI and big data according to a preferred embodiment of the present invention is described in detail with reference to the attached drawings. Detailed descriptions of known functions and components that may unnecessarily obscure the gist of the present invention are omitted.

[0031] FIGS. 1 to 7 illustrate a next-generation fragrance expression system utilizing AI and big data according to an embodiment of the present invention, wherein FIG. 1 is a conceptual diagram of a next-generation fragrance expression system utilizing AI and big data according to an embodiment of the present invention, FIG. 2 is a diagram illustrating a fragrance emitting unit of the next-generation fragrance expression system utilizing AI and big data illustrated in FIG. 1, FIGS. 3, 4, and 5 are diagrams for explaining the next-generation fragrance expression system utilizing AI and big data illustrated in FIG. 1, FIG. 6 is a diagram illustrating a re-learning process of the next-generation fragrance expression system utilizing AI and big data illustrated in FIG. 1, and FIG. 7 is a diagram illustrating a next-generation fragrance expression system utilizing AI and big data according to another embodiment of the present invention, respectively.

[0032] As shown in the above drawing, the next-generation fragrance expression system (100) utilizing AI and big data according to an embodiment of the present invention includes an image reading module (10), a fragrance detection module (20), a fragrance combination module (30), and a fragrance emission unit (40).

[0033] As shown in Fig. 1, the image reading module (10) learns based on a deep learning method and reads and detects an image requiring a scent from image information output from the image equipment (1).

[0034] That is, as illustrated in FIG. 3, the image reading module (10) reads and detects an image requiring a scent from among image information output from an image device (1) such as a virtual reality (VR) device, a TV (television), a hologram, a smartphone, etc., and transmits the detected image information to the scent detection module (20) to be installed later.

[0035] When a scent matching the image output from the video equipment (1) is emitted to the surroundings, the viewer perceives the image as more realistic. For example, when an image of a flower garden in full bloom is output from the video equipment (1) and the scent of the flowers is emitted to the surroundings, the viewer feels a strong sense of realism as if he or she is directly in the flower garden output from the image.

[0036] Accordingly, the image reading module (10) reads and detects an image requiring a scent from the image information output through the image equipment (1) to emit a natural scent matching the image to the surroundings through the scent detection module (20), scent combination module (30) and scent emitting unit (40) to be installed later.

[0037] As shown in Fig. 1, the scent detection module (20) learns based on a deep learning method, and analyzes the image information detected by the image reading module (10) to detect scent information matching the image information.

[0038] That is, as illustrated in FIG. 3, the scent detection module (20) precisely analyzes the image information detected and transmitted from the image reading module (10) and detects the scent information and transmits it to the scent combination module (30) so that a natural scent matching the image can be generated in the scent combination module (30).

[0039] For example, when the image reading module (10) detects and transmits image information of a flower garden in full bloom, the fragrance detection module (20) identifies the type of flower present in the flower garden in the image, analyzes the actual fragrance of the flower, and detects natural fragrance information matching the image, thereby inducing the fragrance combination module (30) to generate and emit a natural fragrance matching the image.

[0040] As shown in Fig. 1, the fragrance combination module (30) learns based on a deep learning method, and combines the fragrance sources of the fragrance emitting unit (40) based on the fragrance information matching the image information detected by the fragrance detection module (20) to generate a fragrance.

[0041] That is, as shown in FIGS. 3 and 4, the fragrance combination module (30) generates a fragrance by combining various fragrance sources of the fragrance emitting unit (40) so that a fragrance identical to or similar to the fragrance information detected by the fragrance detection module (20) can be emitted.

[0042] In summary, the image reading module (10), scent detection module (20), and scent combination module (30) read and detect images requiring scent emission from among images output through the image equipment (1), and generate and emit a natural scent matching the image, thereby greatly increasing the realism of the image and maximizing the viewer's sense of immersion in the image.

[0043] Here, the image reading module (10), the scent detection module (20), and the scent combination module (30) can be implemented through an artificial intelligence (AI) program, and the image reading module (10), the scent detection module (20), and the scent combination module (30) implemented through AI in this way are implemented through an artificial neural network (ANN) algorithm that learns based on deep learning, but of course, the implementation is not limited to such an algorithm.

[0044] Therefore, the image reading module (10), scent detection module (20), and scent combination module (30) learn by combining and analyzing data collected externally, such as a large amount of data collected from various sites accessible through the Internet, into big data, thereby ensuring excellent reliability for a series of processes such as reading and detecting image information output from the image equipment (1) and detecting and generating scent.

[0045] Here, the image reading module (10), the scent detection module (20), and the scent combination module (30) are implemented separately according to the respective roles (functions) performed, but it is of course possible to implement them by integrating them into one AI module that can perform all of the functions of the image reading module (10), the scent detection module (20), and the scent combination module (30).

[0046] As shown in FIGS. 1 and 2, the fragrance emitting unit (40) is controlled through the fragrance combination module (30), and generates a fragrance through a plurality of fragrance sources or a combination of the fragrance sources, and emits the generated fragrance to the surroundings.

[0047] A plurality of storage chambers (41) in which gaseous, solid (nano-level solid) or liquid-form fragrances are stored inside, each of which stores a different fragrance, and a spraying member (42) that is connected to the storage chamber (41) in a manner that is controlled through the fragrance combination module (30) to determine the opening and closing of the storage chamber (41), and sprays fragrances when the storage chamber (41) is opened, and a mixing discharge member (43) that is connected to the spraying member (42) in a manner that is connected to the spraying member (42) in a manner that the fragrances sprayed through the spraying member (42) are mixed and distributed, and at least one discharge port (43a) is provided, and a fragrance created by mixing fragrances is discharged and emitted to the outside through the discharge port (43), and a fragrance combination module (30) that is controlled by supplying wind to the mixing discharge member (43) so that the fragrance distributed to the mixing discharge member (43) is forcibly emitted through the discharge port (43a). It is configured to include a fan member (44) that induces discharge.

[0048] That is, as illustrated in FIG. 4, the fragrance combination module (30) selectively opens and closes (ON-OFF) each of the spraying members (42) connected to the storage chamber (41) of the fragrance emitting unit (40) to generate a fragrance detected by the fragrance detection module (20), thereby combining various fragrance sources, so that a fragrance identical to or similar to the fragrance detected by the fragrance detection module (20) can be generated.

[0049] Of course, the fragrance of the chamber (41) selectively opened through the spray member (42) as described above is circulated and mixed into the mixing discharge member (43), and the fragrance created by the mixing is discharged through the discharge port (43a) of the mixing discharge member (43) through the wind of the fan member (44), so that the fragrance matching the image information output from the image equipment (1) can be naturally emitted to the surroundings.

[0050] Meanwhile, as shown in Fig. 1, learning is performed based on a deep learning method, and a language reading module (50) is further included to extract words and letters related to scent from among the words and letters exposed in the image information detected by reading in the image reading module (10) and transmit them to the scent detection module (20).

[0051] That is, as illustrated in FIG. 3, the language reading module (50) extracts words and characters associated with a scent from the image information detected by the image reading module (10) and provides them to the scent detection module (20), so that the scent detection module (20) can detect scent information based on not only the image information detected by the image reading module (10) but also the words and character information extracted by the language reading module (50), thereby enabling the detection of scent information with superior reliability.

[0052] Here, the above words may be a voice conversation output from the video information, and the above text may be a subtitle output from the video information or text displayed on the video screen.

[0053] Meanwhile, as illustrated in FIG. 6, the image reading module (10), the scent detection module (20), the scent combination module (30), and the language reading module (50) receive feedback on the success or failure of the performance results and relearn them, thereby improving the reliability of the performance results performed by the image reading module (10), the scent detection module (20), the scent combination module (30), and the language reading module (50).

[0054] Here, the image reading module (10) is image information detected by reading from image information output from the image equipment (1), the language reading module (50) is word and character information extracted from the image information detected by the image reading module (10), the scent detection module (20) is scent information detected to match the image information detected by the image reading module (10), and the scent combination module (30) is a scent generated by combining scent sources based on the scent information detected by the scent detection module (20), which is the performance result (water).

[0055] Accordingly, the image reading module (10), the scent detection module (20), the scent combination module (30), and the language reading module (50) receive feedback on the success or failure of the performance results as described above and relearn. For example, the success or failure of the performance results can be determined based on the review (experience) information of the user using the next-generation scent expression system (100) utilizing AI and big data of the present invention, and through repeated relearning based on the success or failure, the reliability of the performance results of the image reading module (10), the scent detection module (20), the scent combination module (30), and the language reading module (50) is gradually improved.

[0056] In summary, the image reading module (10), scent detection module (20), scent combination module (30), and language reading module (50) are implemented as artificial intelligence programs (AI) to control the scent supply unit (40), and each module implemented as AI operates organically with each other to receive feedback on the user's experience information and continuously improve the performance of the system.

[0057] Meanwhile, as shown in Fig. 1, it further comprises a manual control unit (70) that allows the user to directly select and request a desired scent.

[0058] When a desired scent is selected through the manual control unit (70), the scent combination module (30) combines scent sources through the scent emission unit (40) so that the scent selected by the user can be generated and emitted.

[0059] That is, as shown in Fig. 3, the user can directly request a desired scent through the manual control unit (70), and when the request is input, the scent combination module (30) controls the scent emitting unit (40) so that the user can generate and emit the scent he or she wants to the surroundings at any time.

[0060] Here, the user can, of course, select and request the scent he or she wants by inputting a control command in various ways, such as voice or text, to the manual control unit (70).

[0061] Meanwhile, the above video equipment (1) is implemented as a virtual reality (VR) device,

[0062] As illustrated in FIG. 7, the device further comprises a fragrance supply unit (60) that induces the fragrance generated and emitted from the fragrance emitting unit (40) to be emitted around the nose of a user using the video equipment (1), wherein the fragrance supply unit (60) is fixedly coupled to the video equipment (1) and comprises a supply cap (61) that has a space formed inside and is formed to surround the nose of the user, a supply member (62) that has one end connected to the discharge port (43a) of the mixing discharge member (43) and the other end connected to the supply cap (61) to guide the fragrance emitted through the discharge port (43a) into the interior of the supply cap (61), a plurality of discharge holes (63) formed in the lower portion of the supply cap (61), and an exhaust fan (64) that sucks in and discharges external air into the interior of the supply cap (61) and forcibly discharges the air inside the supply cap (61) to the exterior through the discharge holes (63).

[0063] Typically, virtual reality (VR) devices are used by users individually, so it is economical and effective for the scent generated and emitted from the enhanced emission unit (40) to be concentrated only on the user.

[0064] Here, the supply cap (61) of the fragrance supply unit (60) is fixed to the virtual reality device (video device: 1) so that when the user wears the virtual reality device, it naturally covers and wraps the user's nose.

[0065] Therefore, when a fragrance is generated and emitted from the fragrance emitting unit (40), the fragrance is supplied and concentrated to the supply cap (61) through the supply member (62) connected to the mixing discharge member (43) of the fragrance emitting unit (40), so that the user can quickly and clearly recognize the fragrance emitted from the fragrance emitting unit (40).

[0066] Of course, when the video that requires scent emission from the video information output from the virtual reality device is completed (ended), the scent generation and emission through the scent emission unit (40) is stopped, and at this time, external air is supplied to the supply cap (61) through the exhaust fan (64) to remove the scent remaining inside the supply cap (61), so that the user can also immediately get away from the scent at the moment when the video that requires scent emission is finished.

[0067] Here, the air supplied from the exhaust fan (64) is discharged together with the fragrance through the exhaust hole (63) of the supply cap (61), so that the fragrance inside the supply cap (61) is effectively removed.

[0068] The next-generation scent expression system (100) of the present invention utilizing AI and big data, which is configured as described above, detects an image requiring a scent from real-time image information output from a video device (1), detects scent information matching the detected image, and then combines various types of scent sources to generate and emit a scent identical to / similar to the detected scent information, thereby significantly increasing the realism of the image due to the natural scent matching the image output from the video device (1), thereby maximizing the user's sense of immersion in the image.

[0069] In addition, the image reading module (10), scent detection module (20), and scent combination module (30) learn by converting information collected from various sites accessible through the Internet into big data, thereby ensuring excellent reliability of the scent generated and emitted to match the image based on real-time image information output from the image equipment (1), and also has the effect of ensuring excellent reliability of the scent generated and emitted to match the image by relearning through feedback according to the success or failure of the performance result.

[0070] In addition, it has the effect of ensuring excellent usability of the system by being able to freely generate and emit a scent suitable for the image information output in real time by applying it to image equipment (1) that outputs various images.

[0071] The next-generation fragrance expression system (100) utilizing AI and big data according to an embodiment of the present invention having the above configuration generates and emits an appropriate fragrance in real time from an image output through video equipment as follows.

[0072] First, as illustrated in FIG. 3, when an image is output from an image device (1) such as a virtual reality (VR) device, TV, or smartphone, the image reading module (10) reads and detects an image requiring a scent from among the image information output from the image device (1), and transmits the detected image information to the scent detection module (20).

[0073] At this time, the language reading module (50) extracts words and letters associated with the scent from the image information detected by the image reading module (10) and transmits them to the scent detection module (20).

[0074] Then, the scent detection module (20) precisely analyzes the image information detected and transmitted from the image reading module (10) and the word and character information extracted from the language reading module (50) to detect a natural scent matching the image, and transmits the detection information to the scent combination module (30).

[0075] Then, as shown in Fig. 4, the fragrance combination module (30) generates a fragrance by combining various fragrance sources of the fragrance emitting unit (40) so that a fragrance identical to or similar to the fragrance information detected by the fragrance detection module (10) can be emitted, thereby allowing a fragrance suitable for the image to be emitted to the surroundings in real time.

[0076] Therefore, the realism of the video is greatly increased by the natural scent matching the video output from the video equipment (1), thereby maximizing the user's sense of video immersion.

[0077] While the present invention has been described with reference to the embodiments illustrated in the accompanying drawings, these are merely illustrative and are not limited to the above-described embodiments. Those skilled in the art will readily appreciate that various modifications and equivalent embodiments are possible. Furthermore, it should be understood that modifications are possible by those skilled in the art without departing from the spirit and scope of the present invention. Therefore, the scope of the claims in the present invention is not limited to the detailed description, but rather by the claims set forth below and their technical spirit.

Claims

1. An image reading module (10) that learns based on a deep learning learning method and reads and detects an image requiring a scent from image information output from an image device (1); A fragrance detection module (20) that learns based on a deep learning method and analyzes image information detected by the image reading module (10) to detect fragrance information matching the image information; A fragrance combination module (30) that learns based on a deep learning method and generates a fragrance by combining the fragrance sources of the fragrance emitting unit (40) based on the fragrance information matching the image information detected by the fragrance detection module (20); and A next-generation fragrance expression system utilizing AI and big data, characterized in that it comprises a fragrance emitting unit (40) that generates a fragrance through a plurality of fragrance sources or a combination of the fragrance sources and emits the generated fragrance to the surroundings, controlled through the above fragrance combination module (30).

2. In paragraph 1, A next-generation scent expression system utilizing AI and big data, characterized in that it further comprises a language reading module (50) that learns based on a deep learning learning method and extracts words and letters related to scent from among the words and letters exposed in the image information detected by the image reading module (10) and transmits them to the scent detection module (20).

3. In paragraph 2, The next-generation scent expression system utilizing AI and big data is characterized in that the image reading module (10), scent detection module (20), scent combination module (30), and language reading module (50) receive feedback on the success or failure of the performance results and relearn them, thereby improving the reliability of the performance results performed by the image reading module (10), scent detection module (20), scent combination module (30), and language reading module (50).

4. In paragraph 1, The above fragrance emitting unit (40) is A plurality of storage chambers (41) in which fragrances in gaseous, solid or liquid form are stored, each of which stores a different fragrance, Controlled through the above fragrance combination module (30), the above storage chamber (41) is connected to each other in communication with each other to determine the opening and closing of the storage chamber (41), and a spraying member (42) that sprays fragrance when the storage chamber (41) is opened, A mixing discharge member (43) that is connected to the spray member (42) so that fragrances sprayed through the spray member (42) are mixed and distributed, and has at least one discharge port (43a) provided, and the fragrance created by mixing the fragrances is discharged and emitted to the outside through the discharge port (43), A next-generation fragrance expression system utilizing AI and big data, characterized in that it is controlled through the fragrance combination module (30), and comprises a fan member (44) that supplies wind to the mixing discharge member (43) to induce the fragrance distributed to the mixing discharge member (43) to be forcibly discharged through the discharge port (43a).

5. In paragraph 4, The above video equipment (1) is implemented as a virtual reality (VR) device, It further comprises a fragrance supply unit (60) that induces the fragrance generated and emitted from the above fragrance emitting unit (40) to be emitted around the nose of a user using the above video equipment (1); The above fragrance supply unit (60) is A supply cap (61) that is fixedly connected to the above video equipment (1) and has a space formed inside to surround the user's nose, A supply member (62) which is connected at one end to the discharge port (43a) of the above-mentioned mixed discharge member (43) and at the other end to the above-mentioned supply cap (61) to guide the fragrance discharged through the above-mentioned discharge port (43a) into the interior of the above-mentioned supply cap (61), A plurality of discharge holes (63) formed at the bottom of the above supply cap (61), A next-generation fragrance expression system utilizing AI and big data, characterized in that it comprises an exhaust fan (64) that sucks in and exhausts outside air into the inside of the supply cap (61) and forcibly exhausts the air inside the supply cap (61) to the outside through the exhaust hole (63).

6. In paragraph 1, It further comprises a manual control unit (70) that allows the user to directly select and request a desired scent; A next-generation fragrance expression system utilizing AI and big data, characterized in that when a desired fragrance is selected through the manual control unit (70), the fragrance combination module (30) combines fragrance sources through the fragrance emission unit (40) to generate and emit the fragrance selected by the user.

7. In paragraph 3, The above image reading module (10), scent detection module (20), scent combination module (30) and language reading module (50) are implemented as artificial intelligence programs (AI) to control the scent supply unit (40), and each module implemented as AI operates organically with each other and receives feedback on the user's experience information to continuously improve the performance of the system. A next-generation scent display system utilizing AI and big data.

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