Area guide navigation ai system

Abstract

To solve the following problems of a navigation system in a facility, such as inaccurate indoor GPS signals, lack of personalized information provision, insufficient e-commerce experience, low reliability of information provision, and inadequate protection of user privacy and data security, resulting in significant degradation of quality of experience of visitors and detracting the appeal of the facility.SOLUTION: The present invention provides accurate position information in a facility using Wi-Fi and NFC technologies, and provides personalized information using generative AI. The invention improves accuracy and reliability of information by combining ensemble learning and multimodal input, to ensure user privacy and data security through anonymization or encryption of data. Accordingly, rich and safe on-site experience for users can be provided and overall service quality improvement can be implemented.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] Information Processing Technology: The present invention utilizes information processing techniques related to providing location-based navigation and guidance information within a facility, and in particular, involves the acquisition and processing of location information based on Wi-Fi signals.

[0002] Artificial Intelligence Technology: This is a technology field that utilizes machine learning techniques, including generative AI, to provide personalized information based on users' location information and profile data. Improve user experience through ensemble learning and multimodal information processing.

[0003] Wireless communication technology: This technology area utilizes Wi-Fi and NFC (Near Field Communication) technology to support navigation within a facility and realize e-commerce functions within the facility. This includes highly accurate location information services using Wi-Fi and optimization of information exchange and product purchasing processes using NFC tags.

[0004] Database Technology: This is a database technology area for efficiently managing and utilizing information such as user profile data and "Home AI data" provided by facilities. This includes data collection, storage, search, and processing technology for providing customized information to users.

[0005] Computer Software Technology: This is a technical field related to the design of user interfaces, the development of data processing algorithms, and the implementation of application software, with the aim of providing intuitive and effective navigation and guidance to users.

[0006] E-commerce technology: This technology area is related to the realization of in-store e-commerce using NFC tags, which includes obtaining product information through information exchange at touchpoints, adding products to carts, and simplifying the payment process.

[0007] By combining these technologies, this invention aims to significantly improve the in-facility navigation and guidance, as well as the e-commerce experience. [Background technology]

[0008] In-facility navigation technology: Traditionally, in-facility navigation has relied on alternative technologies such as Wi-Fi, Bluetooth beacons, ultrasound, infrared (IR), and magnetic fields due to the limited availability of GPS signals. While these technologies aim to provide precise location information within a facility, they are costly to install and maintain, and accuracy varies greatly from location to location.

[0009] Artificial Intelligence and Generative AI Techniques: Recent technological advances have enabled machine learning techniques, including generative AI, to achieve remarkable results in generating and analyzing text, images, and videos. These techniques are used to learn user input and behavioral patterns and provide customized responses and recommendations. However, hallucination (the generation of misinformation) by generative AI remains a challenge to overcome in terms of accuracy and reliability.

[0010] Wireless communication technology: Wireless communication technologies like Wi-Fi and NFC are essential for enabling location-based services and digital transactions. Wi-Fi has wide coverage and high penetration, while NFC enables high-speed data exchange over short distances. While these technologies serve as the foundation for in-facility navigation systems and e-commerce, it is important to understand the limitations and potential of each.

[0011] E-commerce technology: In the field of e-commerce, the optimization of online product discovery, selection, and purchasing processes is continuously progressing. In-store e-commerce using NFCN technology is a new attempt to realize this process directly within physical stores. However, improving user experience and ensuring security are major challenges in this field.

[0012] Privacy Protection Technology: Technologies for safely managing data collected from users and protecting their privacy are particularly important for systems that handle location information and personal profile information. Anonymizing and encrypting user data is essential for providing reliable services.

[0013] Based on these background technologies, this invention proposes a new approach to improve in-facility navigation and e-commerce experiences, focusing in particular on providing highly accurate location services through the fusion of Wi-Fi and generative AI, generating customized guides based on user profiles, and utilizing NFC technology to efficiently obtain product information and simplify the purchasing process.

[0014] This will fundamentally improve the in-store navigation and e-commerce experience, and aim to provide users with a richer, more personalized, and informative shopping experience. This invention overcomes the limitations of existing technology and provides new value, significantly improving the speed and efficiency of in-store services. [Prior art documents] [Non-patent literature] [Non-patent literature] General non-patent literature Prior art literature (non-patent literature)

[0015] [Non-Patent Document 1] Review of Advances in Indoor Location-Based Services: This review paper summarizes the technological approaches used for indoor location-based services (LBS), including Wi-Fi, beacons, and ultrasound. It discusses current technical challenges and future development opportunities, with a particular focus on improving accuracy and reducing installation costs.

[0016] [Non-patent document 2] Research on Personalized Services Using AI Technology: This research report explores how artificial intelligence (AI) can be used to provide personalized services based on user preferences and behavior. This report focuses on how AI technology is transforming consumer experiences, with a particular focus on its application in the retail industry. Summary of the Invention [Problem to be solved by the invention]

[0017] Providing precise location information within the facility: Current technology makes navigation within facilities difficult due to the reduced accuracy of GPS signals within buildings. Alternative technologies exist, such as Wi-Fi, Bluetooth beacons, and ultrasonic waves, but these are expensive to install and maintain, and accuracy varies by location.

[0018] Providing customized navigation and guidance: Current navigation systems are limited in providing information tailored to users' individual interests and needs. A personalized guide is needed to help users easily find specific services and products within a facility.

[0019] Enabling on-site e-commerce: Obtaining product information and simplifying the purchasing process in physical stores remains a challenge for many establishments. Even with the use of NFC and other wireless communication technologies, it is difficult to strike a balance between improving the user experience and ensuring security.

[0020] Improving accuracy and reliability of information: In information provision systems that use generative AI, the occurrence of false information (hallucination) can be a problem. In particular, in facility navigation and guide information, false information can confuse users.

[0021] Privacy Protection and Data Security: The secure management and privacy of location and personal profile data collected from users is particularly important, and measures are needed to build trust and ensure the security of the information users provide.

[0022] By addressing these challenges, the present invention aims to improve the accuracy and convenience of navigation and guidance within facilities. [Means for solving the problem]

[0023] Use of Wi-Fi-based high-precision location technology: Utilizing the latest Wi-Fi technology, we provide highly accurate location information within facilities. By analyzing Wi-Fi access point distribution data and signal strength, we can determine locations with high accuracy without relying on GPS.

[0024] Generative AI for personalized navigation and guidance: Based on user profile data (interests, preferences, visit history, etc.), generative AI is used to provide customized navigation information and guidance, enabling information tailored to each user's needs.

[0025] Implementing in-venue e-commerce using NFC technology: By utilizing NFC tags and the NFC functionality of smartphones, we will build a system that allows users to easily obtain product information in stores and make purchases on the spot, thereby improving the shopping experience within the facility.

[0026] Ensemble learning and multimodal feature integration: Ensemble learning, which combines multiple generative AI models, and multimodal functionality that handles multiple input and output formats such as text, images, and videos, improve the accuracy and reliability of information, thereby reducing the risk of misinformation generated by generative AI.

[0027] Enhanced privacy and data security: By anonymizing and encrypting user data and applying security protocols, we ensure that any location information and personal profile data collected is securely managed and privacy-protected, thereby earning user trust and mitigating security risks.

[0028] Through these means, the present invention aims to improve the accuracy and convenience of navigation within the facility, provide personalized information, make in-facility shopping more efficient, improve the reliability of information, and ensure privacy and data security, thereby providing users with a more comfortable and safe facility usage experience. [Effects of the Invention]

[0029] Achieving high-precision navigation within facilities: By utilizing high-precision location information technology based on Wi-Fi, we provide accurate navigation within the facility. This allows users to quickly reach their destination without getting lost within the building. Even in indoor environments where GPS signals are difficult to reach, we can maintain location information accuracy by using Wi-Fi signals.

[0030] Improving your user experience by providing personalized information: Generative AI can provide customized navigation information and guides based on user profile data, allowing users to easily find the facilities and services that interest them, improving their visit satisfaction.

[0031] Improved efficiency and experience for on-premise e-commerce: The introduction of NFC-enabled shopping systems simplifies the in-store product information acquisition and purchasing process, allowing users to instantly obtain product information and enjoy a smooth purchasing experience. It also reduces physical contact, creating a more hygienic shopping environment.

[0032] Improving accuracy and reliability of information: The integration of ensemble learning and multimodal features improves the accuracy and reliability of information provided by generative AI, reducing misinformation and enabling users to act on trusted information.

[0033] Protecting privacy and ensuring data security: User privacy and data security are ensured through the anonymization, encryption and application of security protocols to user data, allowing users to use the service without worrying about the safety of their personal information.

[0034] As described above, the present invention achieves several important benefits, including improving the convenience and accuracy of in-store navigation, enhancing the user experience by providing personalized information, providing an efficient and safe shopping experience, improving the reliability of information, and protecting user privacy and ensuring data security, all of which result in a more comfortable and fulfilling experience for visitors to the facility. [Brief explanation of the drawings]

[0035] [Figure 1]System configuration diagram DETAILED DESCRIPTION OF THE INVENTION

[0036] Wi-Fi based location system: This system measures the signal strength from multiple Wi-Fi access points within a facility and uses this information to pinpoint the user's location with high accuracy. This system is combined with facility drawings and Wi-Fi access point location information to provide the user with the optimal navigation route.

[0037] Customized information provision system using generative AI: The system learns user profile information, such as past behavioral data, interests, and preferences, and generates navigation information and guides tailored to each individual user. The system supports multiple media formats, including text, images, and videos, providing users with a wealth of information.

[0038] In-facility e-commerce system using NFC technology: This system simplifies and streamlines the shopping experience for users by placing NFC tags on products in stores, allowing customers to obtain product information by touching the tag with an NFC-enabled device such as a smartphone, and then purchasing directly through an application.

[0039] Generative AI systems with ensemble learning and multimodal capabilities: This is an ensemble learning system that combines multiple generative AI models to improve information accuracy by complementing each other's weaknesses. It also has multimodal functionality that handles multiple media formats such as text, images, and videos as input and output, enabling the provision of richer information to users.

[0040] Data protection and privacy features: We use encryption, access control, and anonymization technologies to securely store location and profile data collected from users, protecting their privacy and allowing them to use our services with peace of mind.

[0041] Through these aspects, the present invention achieves multiple objectives, including improving the accuracy and convenience of navigation within a facility, providing information tailored to the user, streamlining the shopping experience, improving the reliability of information, and ensuring user privacy, thereby providing a more comfortable and fulfilling experience for all visitors to the facility. [Example]

[0042] Example 1: Shopping mall navigation system System Overview: Using Wi-Fi access points installed within the shopping mall, the exact location of visitors can be identified. It uses generative AI to provide store recommendations and promotional information based on the visitor's interests and past visit history, and uses NFC technology to send promotions and discount coupons for specific stores directly to the user's smartphone.

[0043] Technical Implementation: Maps Wi-Fi access point distribution data and automatically obtains location information when visitors connect to a Wi-Fi signal. Generative AI analyzes the interests and previous visit data entered by the user into the application to provide a personalized shopping guide. NFC tags are placed at store entrances or on specific product shelves, and when users hold their smartphones over the tags, product information and discount coupons are displayed.

[0044] Example 2: Museum guide system System Overview: Visitors' locations are identified through a Wi-Fi-based location system within the museum. Generative AI is used to provide guides and explanations of exhibits based on the visitor's interests. Leverage NFC to send specific exhibit details and related video content directly to visitor devices.

[0045] Technical Implementation: Using Wi-Fi access points distributed throughout the museum, the system tracks visitors' movements and guides them through the exhibits along the most optimal route. The AI ​​analyzes visitors' past visit information and registered interests on the application to provide personalized exhibit explanations. By holding your smartphone over NFC tags placed near the exhibits, you can access additional multimedia content and in-depth commentary.

[0046] These examples demonstrate the applicability of the technology of this invention within a variety of facilities. The combination of Wi-Fi, NFC technology, and generative AI can provide highly customized information and navigation services to visitors, significantly improving the facility experience. [Industrial Applicability]

[0047] This invention has a wide range of applications and can be used in a variety of industrial fields. Specific applications are shown below.

[0048] Retail: Navigation and information services in shopping malls and large stores. This will improve the customer shopping experience and also boost sales by directing them to specific products and promotions. Enhance customer engagement by providing information and special offers at NFC-enabled touchpoints.

[0049] Art galleries and museums: We provide information and explanations customized for each exhibit. This allows for recommendations of exhibits based on visitors' interests and navigation to avoid crowds. NFC tags can be placed on exhibits to facilitate access to additional information and related online content.

[0050] Event venues and concert halls: Providing real-time information to event participants and navigation within the venue. By visualizing congestion and suggesting optimal routes, you can improve the attendee experience. We can support smooth event management by using NFC to check tickets and distribute special offers.

[0051] Transportation (airport, station, etc.): Providing real-time guidance information to users and navigation support to avoid congestion. This contributes to the rapid distribution of emergency information such as delays and gate changes. NFC can be used to streamline check-in processes and simplify authentication procedures when using services.

[0052] Hotel industry: Providing personalized service to guests and navigating within the facility. This will help improve the guest experience by recommending events and restaurant reservations during their stay. NFC enables keyless check-in and room access, improving convenience for guests and streamlining operations for management.

[0053] These potential uses demonstrate the versatility and adaptability of the technology provided by this invention. It is expected to provide a wide range of value in various industries, including improving customer experience, increasing operational efficiency, and providing new services. By utilizing the technology of this invention, it will be possible to add extra value to existing services and build competitive business models.

Claims

1. An in-facility location information providing system that is a system for identifying a user's location within a facility, and is characterized by having a means for calculating user location information using signal strength from multiple Wi-Fi access points.

2. 2. A personalized information providing system according to claim 1, further comprising means for analyzing user profile information and generating personalized navigation information and guide information based on the profile information.

3. An e-commerce system that utilizes NFC technology to provide in-store product information or promotional information, and has a means for enabling users to make product purchases based on that information.

4. 3. The information provision system according to claim 2, further comprising an ensemble learning means for combining and using a plurality of generative AI models to improve the accuracy and reliability of information provision.

5. A privacy protection and data security system in which the collected location information and profile information in the system described in claim 1 and claim 2 is anonymized or encrypted and security protocols are applied to enable safe management and use of the information.

6. 2. The system according to claim 1, further comprising a congestion avoidance navigation function for grasping the congestion situation in a specific area within a facility in real time and proposing a navigation route to the user that avoids the congestion.

7. 4. The e-commerce system according to claim 3, further comprising means for automatically suggesting the optimum delivery option when a user performs a purchase operation.

8. 3. A system according to claim 2, wherein the health and accessibility enabled navigation function comprises means for adjusting navigation information to take into account the health status and accessibility requirements of the user.

9. 2. The system according to claim 1, wherein a hybrid location information providing means uses a Bluetooth beacon signal in addition to a Wi-Fi signal to accurately identify the user's location information whether indoors or outdoors.

10. In the system according to claim 2 and claim 4, a multimodal input analysis function that analyzes multimedia data such as images and videos provided by a user and generates personalized information based on the content of the data.

11. 4. The e-commerce system according to claim 3, further comprising a follow-up service automatic suggestion function for automatically suggesting additional information and follow-up services related to the purchased product.

12. 10. The system of claim 1, wherein an emergency response function is provided to improve facility safety. This includes providing users with rapid information in the event of an emergency and guiding them to the best evacuation route.

13. 3. The system of claim 2, further comprising a social collaboration function for analyzing a user's social network information and promoting interactions with friends and family.

14. In the system according to claim 1, claim 2 or claim 4, a multilingual function is provided that takes into consideration the user's language settings and cultural background and provides information in an appropriate language and expression.

15. 4. The e-commerce system according to claim 3, further comprising a personalized product recommendation function for analyzing a user's purchase history and browsing history and recommending products optimized for each individual user.

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