Digital telescope providing personalized features by recognizing users

Abstract

A digital telescope that recognizes a user and provides personalized functions according to an embodiment includes a memory that stores at least one command; and a processor that performs an operation according to said command. The processor recognizes a user within a certain distance through face recognition, extracts detailed information including the age and gender of the recognized user, and outputs customized content to a telescope display according to the extracted detailed information. Additionally, the processor can control the height of the telescope according to the eye level of the recognized user. Additionally, the processor can adjust the streaming speed of the customized content according to the age of the user.

Description

Technology Field

[0001] The present disclosure relates to a digital telescope that recognizes a user and provides personalized functions, specifically a digital telescope that recognizes a user viewing the telescope and provides personalized functions tailored to the user. Background Technology

[0002] Unless otherwise indicated in this specification, the contents described in this section are not prior art for the claims of this application, and are not to be recognized as prior art simply because they are included in this section.

[0003] Conventional telescopes are positioned at a height that does not match the user's eye level, which can cause inconvenience as it requires the user to bend over or stand on tiptoes. Additionally, manually adjusting the height or angle every time the telescope is used is inconvenient and time-consuming. Furthermore, while the guidance and information required may vary depending on age and gender, standard telescopes fail to meet these individual needs. Moreover, because information is provided to all users in the same manner, specific groups, such as children and the elderly, may find it difficult to understand the information.

[0004] Furthermore, the lack of user-customized information, such as tourist attractions and restaurants, can lower the quality of the user experience and lead to a loss of interest. Additionally, because personalized advertisements or videos are not provided, advertising efficiency decreases, and only unnecessary information may be provided. Moreover, there is a high likelihood that specific users, such as children, the elderly, and people with disabilities, will be unable to properly utilize the telescope. This can reduce accessibility and lead to inequality for specific user groups. Prior art literature

[0005] 1. Korean Patent Registration No. 10-2086925 (March 3, 2020) 2. Korean Patent Publication No. 10-2023-0166937 (December 7, 2023) The problem to be solved

[0006] A digital telescope that recognizes a user and provides personalized functions according to an embodiment recognizes the user viewing the telescope and provides personalized functions tailored to the user.

[0007] The digital telescope according to the embodiment estimates the eye level of the user viewing the telescope and controls the height of the telescope to match the eye level. In the embodiment, the user's eye level is estimated and the height of the telescope is controlled to match the eye level.

[0008] Furthermore, the video provides guidance in slow, friendly, fast, or entertaining ways, tailored to the user's gender and age. It also displays customized ad videos based on the user's gender and age. These customized ad videos include personalized recommendations for nearby restaurants and tourist attractions.

[0009] In the embodiment, based on face detection (face recognition), a matching algorithm is provided that derives feature points such as gender and age from a recognized face using deep learning and provides a customized function to the user through the derived features.

[0010] However, the problem to be solved according to one embodiment is not limited only to that mentioned above. means of solving the problem

[0011] A digital telescope that recognizes a user and provides individualized functions according to an embodiment includes a memory that stores at least one command; and a processor that performs an operation according to said command, wherein the processor recognizes a user within a certain distance through face recognition, extracts detailed information including the age and gender of the recognized user, and outputs customized content to a telescope display according to said extracted detailed information.

[0012] In addition, the processor can control the height of the telescope according to the recognized user's eye level.

[0013] In addition, the processor can adjust the streaming speed of customized content according to the user's age.

[0014] In addition, the processor can derive feature points of a recognized face through deep learning based on face detection (face recognition) and provide customized functions for each user using the said feature points.

[0015] In addition, customized content includes customized advertising videos, and the customized advertising videos may include recommendations for nearby restaurants and nearby tourist attractions. Effects of the invention

[0016] A digital telescope that recognizes the user as described above and provides personalized functions maximizes user convenience by automatically adjusting the height of the telescope to match the user's eye level, thereby providing a comfortable and natural field of view.

[0017] In addition, the digital telescope, which recognizes the user according to the embodiment and provides personalized functions, optimizes guidance videos (provided slowly, kindly, quickly, or entertainingly) based on the user's gender and age to provide an experience suitable for various user groups. For example, a kind and entertaining guidance method can be applied to children, while a slow explanation method can be applied to the elderly.

[0018] In addition, the digital telescope that recognizes a user and provides personalized functions according to the embodiment enhances the practicality and value of the information by providing recommendation information, such as nearby restaurants and tourist attractions, tailored to the user's characteristics. For example, it recommends trendy cafes and restaurants to the younger generation, and historical landmarks or relaxing tourist destinations to the elderly.

[0019] In addition, the digital telescope that recognizes the user according to the embodiment and provides personalized functions prevents information overload by reducing information that the user does not need through personalized functions.

[0020] In addition, the digital telescope that recognizes the user and provides individualized functions according to the embodiment implements accurate user customization functions through face recognition and analysis (extraction of gender and age).

[0021] In addition, the embodiment implements an efficient and smart system by automating the automatic adjustment of telescope height and the provision of personalized content.

[0022] In addition, in the embodiment, the digital telescope that recognizes the user and provides personalized functions offers surrounding recommendation information and advertisements as personalized content, providing the user with a useful and enjoyable experience.

[0023] In addition, the digital telescope that recognizes the user and provides personalized functions according to the embodiment enhances immersion and enjoyment at tourist attractions or viewing places because it provides only information that the user is likely to be interested in.

[0024] In addition, the digital telescope that recognizes the user according to the embodiment and provides personalized functions enables various user groups, such as children, the elderly, and people with disabilities, to use the telescope easily and conveniently without separate manual operation.

[0025] In addition, the digital telescope that recognizes the user and provides personalized functions according to the embodiment can enhance business marketing effects and contribute to the revitalization of surrounding commercial areas by providing customized advertisements and recommendation information.

[0026] In addition, a digital telescope that recognizes a user and provides personalized functions according to the embodiment can induce the user to revisit or continuously utilize the digital telescope through a highly satisfying user experience.

[0027] The effects obtainable from the exemplary embodiments of the present disclosure are not limited to those mentioned above, and other unmentioned effects can be clearly derived and understood by those skilled in the art to which the exemplary embodiments of the present disclosure belong from the description below. That is, unintended effects resulting from the implementation of the exemplary embodiments of the present disclosure can also be derived by those skilled in the art from the exemplary embodiments of the present disclosure. Brief explanation of the drawing

[0028] FIGS. 1 and 2 are drawings showing a digital telescope according to an embodiment. FIG. 3 is a drawing showing a block diagram of a telescope according to an embodiment. FIG. 4 is a diagram illustrating the process of recognizing a user through a digital telescope according to an embodiment and providing individualized functions. Specific details for implementing the invention

[0029] Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Identical or similar components regardless of drawing symbols are assigned the same reference number, and redundant descriptions thereof will be omitted. The suffixes "module" and "part" used for components in the following description are assigned or used interchangeably solely for the ease of drafting the specification and do not inherently possess distinct meanings or roles. Furthermore, in describing embodiments disclosed in this specification, if it is determined that a detailed description of related prior art could obscure the essence of the embodiments disclosed in this specification, such detailed description will be omitted. Additionally, the attached drawings are intended only to facilitate understanding of the embodiments disclosed in this specification; the technical concept disclosed in this specification is not limited by the attached drawings, and it should be understood that they include all modifications, equivalents, and substitutions that fall within the spirit and technical scope of the present invention.

[0030] Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but said components are not limited by said terms. These terms are used solely for the purpose of distinguishing one component from another.

[0031] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0032] In this application, terms such as “comprising” or “having” are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0033] In this specification, the term "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware.

[0034] Some of the operations or functions described herein as being performed by a terminal, device, or device may instead be performed by a server connected to said terminal, device, or device. Likewise, some of the operations or functions described as being performed by a server may also be performed by a terminal, device, or device connected to said server.

[0035] Hereinafter, the present invention will be described in detail with reference to the attached drawings.

[0036] Figures 1 and 2 are drawings showing a digital telescope according to an embodiment.

[0037] Referring to FIGS. 1 and 2, a digital telescope that recognizes a user and provides personalized functions according to an embodiment recognizes a user viewing the telescope and provides personalized functions tailored to the user. In addition, as shown in FIG. 2, the digital telescope according to an embodiment estimates the eye level of the user viewing the telescope and controls the height of the telescope to match the eye level. In the embodiment, the user's eye level is estimated and the height of the telescope is controlled to match the eye level.

[0038] In addition, the digital telescope according to the embodiment provides video guidance in slow, friendly, fast, and entertaining ways, tailored to the user's gender and age. It also displays customized advertising videos tailored to the user's gender and age. The customized advertising videos include recommendations for nearby restaurants and tourist attractions.

[0039] In the embodiment, based on face detection (face recognition), a matching algorithm is provided that derives feature points such as gender and age from a recognized face using deep learning and provides a customized function to the user through the derived features.

[0040] Figure 3 is a block diagram of a telescope according to an embodiment.

[0041] The configuration of the telescope (200) shown in Fig. 3 is merely a simplified example.

[0042] The communication module (110) can be configured regardless of the mode of communication, such as wired or wireless, and can be configured with various communication networks, such as a Personal Area Network (PAN) or a Wide Area Network (WAN). Additionally, the communication module (110) can operate based on the known World Wide Web (WWW) and may utilize wireless transmission technologies used for short-range communication, such as Infrared Data Association (IrDA) or Bluetooth. For example, the communication module (110) may be responsible for transmitting and receiving data necessary to perform a technique according to one embodiment of the present disclosure.

[0043] Memory (120) may refer to any type of storage medium. For example, memory (120) may include at least one type of storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), RAM (Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk, and optical disk. Such memory (120) may also constitute the database shown in FIG. 1.

[0044] The memory (120) can store at least one instruction that can be executed by the processor (130). Additionally, the memory (120) can store any form of information generated or determined by the processor (130) and any form of information received by the server (200). Additionally, the memory (120) stores various types of modules, instruction sets, or models.

[0045] The processor (130) can perform technical features according to embodiments of the present disclosure to be described below by executing at least one instruction stored in memory (120). In one embodiment, the processor (130) may be composed of at least one core and may include a processor for data analysis and / or processing, such as a central processing unit (CPU) of a computer device, a general purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU).

[0046] This processor (130) can train a neural network or model designed in a machine learning or deep learning manner. To this end, the processor (130) can perform calculations for training the neural network, such as processing input data for training, extracting features from input data, calculating errors, and updating the weights of the neural network using backpropagation. Additionally, the processor (130) can perform inference for a specific purpose using a model implemented in an artificial neural network manner.

[0047] In the embodiment, the processor (130) recognizes a user within a certain distance through face recognition, extracts detailed information including the age and gender of the recognized user, and outputs customized content to the telescope display according to the extracted detailed information. To this end, the processor (130) detects the face of a user within a certain distance around the telescope using face detection technology. In the embodiment, the distance to the user is measured using a distance sensor or the depth sensing function of a camera. Additionally, the recognition process is performed only on the faces of users within a certain distance. Subsequently, the processor (130) analyzes the detected face using a deep learning-based face recognition model (e.g., a CNN-based network). Then, feature points such as age and gender are extracted from the face image. Subsequently, the extracted age and gender information is compared with a pre-trained database or refined using an AI model. For example, the processor (130) uses a deep learning algorithm to analyze the user's age as being in their 20s and their gender as female.

[0048] Subsequently, the processor (130) selects appropriate content based on the extracted age and gender information. In the embodiment, the customized content may include tourist information such as descriptions of tourist attractions suitable for the age group (e.g., fun attractions for teenagers, historical attractions for the elderly), recommendations for nearby restaurants, tourist attractions, and amenities (e.g., recommendations for kids zones for families with children), and customized advertisements such as providing advertisements tailored to user interests (e.g., displaying advertisements for popular cafes for young women).

[0049] Subsequently, the processor (130) outputs customized content to the display of the telescope. In the embodiment, the content may be visually provided on the display in the form of text, images, videos, etc. In the embodiment, the user's eye level and gaze direction are detected in real time to provide the display at an optimized height and angle. Additionally, the processor (130) may detect the user's reaction or change in gaze to further update or change the customized content. For example, if the user focuses on specific content for a long time, additional related information may be output.

[0050] Additionally, the processor (130) controls the height of the telescope according to the recognized user's eye level. To this end, the processor (130) detects the user's face using face detection technology. It detects the user's vertical position (eye level) based on the center point of the face (eyes, nose, etc.). It also measures the distance of the user and the height coordinates of the face through a camera or sensor. For example, the user's eye level is recognized as an (X, Y) coordinate value relative to the camera. Additionally, the detected user's eye level data is converted into an absolute height value. For example, the user's eye level is estimated to be 1.5m from the floor.

[0051] Afterward, the processor (130) compares the current height of the telescope with the user's eye level and calculates the required height adjustment value (Δ) according to Equation 1.

[0052] Mathematical formula 1

[0053] Δh = User's eye level - Current telescope height

[0054] Additionally, the processor (130) transmits a control signal to an electric motor or a height control device. According to the control signal, the height of the telescope is raised or lowered by a calculated Δ value. After the height of the telescope is adjusted, the user's eye level is detected again to check for any errors. Additionally, if an error is detected, the processor repeatedly performs fine adjustments in real time. Additionally, if the user moves or changes their posture, the eye level is re-detected in real time to automatically adjust the height of the telescope. Additionally, if multiple people are detected simultaneously, the processor (130) identifies the primary user (e.g., the closest user) and adjusts the height of the telescope accordingly.

[0055] Additionally, the processor (130) adjusts the streaming speed of customized content according to the user's age. The processor (130) detects the user's face through face detection technology. Then, it extracts age information from the face image using a deep learning-based analysis model (e.g., CNN or DNN). In an embodiment, the processor (130) may set the age to a range. For example, children may be set to 10 years old or younger, adolescents to 10 to 19 years old, adults to 20 to 59 years old, and the elderly to 60 years old or older.

[0056] Subsequently, the processor (130) quantifies or categorizes the recognized age and converts it into a reference value for determining the content playback speed. For example, the speed is set to slow (0.75x) for children, to the default speed (1.0x) for adults, and to slow (0.8x) for the elderly. Subsequently, the processor (130) selects an appropriate playback speed from a predefined speed adjustment mapping table based on the age information. Additionally, the processor (130) adjusts the content playback speed parameters through a media streaming control module (e.g., a video player API). Subsequently, the content is played at the set streaming speed and output to the display. In the embodiment, if the user's age changes or a new user is detected, the age information is updated in real time and the streaming speed is readjusted. Furthermore, if the user attempts to change the speed through operation, user-customized settings may be provided to reflect this. Through this, information is provided at a slow speed to children and the elderly to improve comprehension and accessibility, while content is provided at the default speed to adolescents and adults to ensure an efficient user experience. User-customized playback speed adjustment significantly improves the accuracy of information delivery and user satisfaction.

[0057] Additionally, the processor (130) derives feature points of a recognized face through deep learning based on face detection (face recognition) and provides customized functions for each user using said feature points. To this end, the processor (130) detects the user's face through a camera or sensor. Additionally, it recognizes the location of a face in a video or image using a face detection algorithm (e.g., Haar Cascade, MTCNN, SSD, etc.). Additionally, it sets a Region of Interest (ROI) based on the detected face area. Furthermore, the processor (130) extracts feature points of the face by utilizing a deep learning-based face recognition model (e.g., CNN-based FaceNet, Dlib, OpenCV) based on face data within the ROI. Feature points may include coordinates and shapes such as eyes, nose, mouth, and facial contours. In the embodiment, feature points that have been precisely analyzed through a deep learning model are converted into numerical vector values ​​(Feature Vector). Subsequently, the processor (130) extracts information such as the user's age, gender, and emotional state by comparing the derived feature points with a pre-trained AI model. For example, the processor (130) can use an age prediction model, which is a regression-based model, and a gender determination model, which is a classification-based model.

[0058] Additionally, the processor (130) matches the derived information, such as age and gender, to a predefined database or algorithm. Additionally, it determines user-customized functions using a database or rule-based engine.

[0059] Additionally, the processor (130) provides customized functions including content output optimization, personalized recommendations, and playback speed according to user characteristics. In the embodiment, content output optimization adjusts videos, images, and text according to age and gender. For example, children are provided with friendly and slow-motion videos, while the elderly are provided with large text and slow-motion explanations. Personalized recommendations recommend tourist attractions, nearby restaurants, and related advertising information according to the user's preferences. Playback speed adjustment adjusts the playback speed of the content to suit the user. Subsequently, the processor (130) can analyze the user's facial expressions, movements, etc., to adjust the customized functions in real time. Additionally, if the user's concentration decreases, the processor (130) changes the content or outputs other recommendation information. Furthermore, when a new user enters the face recognition range, the processor (130) terminates the data of the previous user and starts face recognition and feature point extraction for the new user.

[0060] Additionally, the processor (130) can retrain or improve the machine learning model based on user response data (e.g., content selection, user satisfaction). Through the embodiment, accurate user-customized services are provided. This enhances user satisfaction through a personalized experience and enables the immediate fulfillment of user needs through automated analysis and optimization. Furthermore, the user experience can be continuously improved through a dynamic and responsive system. Through this process, the processor (130) precisely analyzes the user's facial features and maximizes the personalized user experience by providing customized functions in real time. Additionally, in the embodiment, the customized content includes customized advertising videos, and the customized advertising videos may include recommendations for nearby restaurants and nearby tourist attractions.

[0061] Below, we will look at FIG. 4. The method of recognizing a user through a telescope as illustrated in FIG. 4 and providing individualized functions can be performed by the processor (130) through the telescope.

[0062] Meanwhile, FIG. 4 is merely illustrative, and the concept of the present invention is not to be interpreted as being limited to that shown in FIG. 4. For example, each step may be configured in a different order than that shown in FIG. 4, at least one of the steps shown in FIG. 4 may not be performed, or one or more steps not shown in FIG. 4 may be additionally performed.

[0063] Below, a method for recognizing a user through a digital telescope and providing individualized functions will be described in turn. Since the operation (function) of the method for recognizing a user through a digital telescope and providing individualized functions according to the embodiment is essentially the same as the function of the system, descriptions that overlap with FIGS. 1 to 3 will be omitted.

[0064] FIG. 4 illustrates a process of recognizing a user through a digital telescope according to an embodiment and providing individualized functions.

[0065] Referring to FIG. 4, in step S110, a user within a certain distance is recognized through face recognition, and detailed information including the age and gender of the recognized user is extracted, and in step S120, customized content is output to the telescope display according to the extracted detailed information.

[0066] A digital telescope that recognizes the user as described above and provides personalized functions maximizes user convenience by automatically adjusting the height of the telescope to match the user's eye level, thereby providing a comfortable and natural field of view.

[0067] In addition, the digital telescope, which recognizes the user according to the embodiment and provides personalized functions, optimizes guidance videos (provided slowly, kindly, quickly, or entertainingly) based on the user's gender and age to provide an experience suitable for various user groups. For example, a kind and entertaining guidance method can be applied to children, while a slow explanation method can be applied to the elderly.

[0068] In addition, the digital telescope that recognizes a user and provides personalized functions according to the embodiment enhances the practicality and value of the information by providing recommendation information, such as nearby restaurants and tourist attractions, tailored to the user's characteristics. For example, it recommends trendy cafes and restaurants to the younger generation, and historical landmarks or relaxing tourist destinations to the elderly.

[0069] In addition, the digital telescope that recognizes the user according to the embodiment and provides personalized functions prevents information overload by reducing information that the user does not need through personalized functions.

[0070] In addition, the digital telescope that recognizes the user and provides individualized functions according to the embodiment implements accurate user customization functions through face recognition and analysis (extraction of gender and age).

[0071] In addition, the embodiment implements an efficient and smart system by automating the automatic adjustment of telescope height and the provision of personalized content.

[0072] In addition, in the embodiment, the digital telescope that recognizes the user and provides personalized functions offers surrounding recommendation information and advertisements as personalized content, providing the user with a useful and enjoyable experience.

[0073] In addition, the digital telescope that recognizes the user and provides personalized functions according to the embodiment enhances immersion and enjoyment at tourist attractions or viewing places because it provides only information that the user is likely to be interested in.

[0074] In addition, the digital telescope that recognizes the user according to the embodiment and provides personalized functions enables various user groups, such as children, the elderly, and people with disabilities, to use the telescope easily and conveniently without separate manual operation.

[0075] In addition, the digital telescope that recognizes the user and provides personalized functions according to the embodiment can enhance business marketing effects and contribute to the revitalization of surrounding commercial areas by providing customized advertisements and recommendation information.

[0076] In addition, a digital telescope that recognizes a user and provides personalized functions according to the embodiment can induce the user to revisit or continuously utilize the digital telescope through a highly satisfying user experience.

[0077] Meanwhile, a computer or a similar device may include a device according to the disclosed embodiments, which is capable of calling instructions stored from a storage medium and operating according to the called instructions. When said instructions are executed by a processor, the processor may perform a function corresponding to said instructions directly or by using other components under the control of said processor. The instructions may include code generated or executed by a compiler or an interpreter.

[0078] A computer-readable recording medium may be provided in the form of a non-transitory computer-readable recording medium. Here, "non-transitory" simply means that the storage medium does not contain a signal and is tangible, without distinguishing whether data is stored semi-permanently or temporarily on the storage medium. In this context, a non-transitory computer-readable medium refers to a medium that stores data semi-permanently and is readable by a device, rather than a medium that stores data for a short moment, such as registers, caches, or memory. Specific examples of non-transitory computer-readable media may include CDs, DVDs, hard disks, Blu-ray discs, USBs, memory cards, and ROMs.

[0079] As described above, exemplary embodiments have been disclosed in the drawings and specification. Although specific terms have been used to describe the embodiments in this specification, they are used only for the purpose of explaining the technical concept of this disclosure and are not intended to limit the meaning or the scope of this disclosure as defined in the claims. Therefore, those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom. Accordingly, the true technical scope of protection of this disclosure should be determined by the technical concept of the appended claims.

Claims

Claim 1 A digital telescope comprising: a memory storing at least one command for recognizing a user and providing individualized functions; and a processor that performs an operation according to said command, wherein the processor recognizes a user within a certain distance through face recognition, extracts detailed information including the age and gender of the recognized user, and outputs customized content to a telescope display according to said extracted detailed information. Claim 2 A digital telescope according to claim 1, wherein the processor controls the height of the telescope according to the recognized user's eye level. Claim 3 In claim 1, the processor is a digital telescope that adjusts the streaming speed of customized content according to the user's age. Claim 4 A digital telescope according to claim 1, wherein the processor derives feature points of a recognized face through deep learning based on face detection (face recognition) and provides a user-specific customized function using the feature points. Claim 5 A digital telescope according to claim 1, wherein the customized content includes a customized advertising video, and the customized advertising video includes recommendations for nearby restaurants and nearby tourist attractions. Claim 6 A method for recognizing a user through a digital telescope and providing personalized functions, comprising: a step of recognizing a user within a certain distance through face recognition and extracting detailed information including the age and gender of the recognized user; and a step of outputting customized content to a telescope display according to the extracted detailed information. Claim 7 In claim 6, the step of recognizing a user within a certain distance through the face recognition and extracting detailed information including the age and gender of the recognized user is a method for providing individualized functions by recognizing a user through a digital telescope, which controls the height of the telescope according to the eye level of the recognized user. Claim 8 In claim 6, the step of recognizing a user within a certain distance through the face recognition and extracting detailed information including the age and gender of the recognized user is a method of providing individualized functions by recognizing a user through a digital telescope, which adjusts the streaming speed of customized content according to the user's age. Claim 9 In claim 6, the step of recognizing a user within a certain distance through the face recognition and extracting detailed information including the age and gender of the recognized user is based on face detection (face recognition), derives feature points of the recognized face through deep learning, and provides customized functions for each user using the feature points, a method of recognizing a user through a digital telescope and providing individualized functions. Claim 10 In claim 6, the customized content includes a customized advertising video, and the customized advertising video includes recommendations for nearby restaurants and recommendations for nearby tourist attractions, a method of providing individualized functions by recognizing a user through a digital telescope.

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