Description:FIELD OF THE INVENTION
The present invention pertains to an AI-assisted smart dressing recommendation system integrated into a vision mirror.
Background of the Invention
References which are cited in the present disclosure are not necessarily prior art and therefore their citation does not constitute an admission that such references are prior art in any jurisdiction. All publications, patents and patent applications herein are incorporated by reference to the same extent as if each individual or patent application was specifically and individually indicated to be incorporated by reference.
The AI and computer vision based smart dressing recommendation system will assist the user to select the dress which will be more suited to them. The system will capture the user's full length image and will recommend / suggest a dress which will be more suited to their personality according to their height, width, (body posture) and colour.
The Automated smart dressing system is portable software which can easily be installed on laptop, desktop, or mobile phone. It can be used by Male and females both for selecting the dresses which will be suggested by the system automatically. The system will use a web camera to capture the user image, will perform the background processing and suggest the most suitable dresses.
Overall, the smart dressing system represents a major step forward in the field of online dress selection recognition and has the potential to revolutionize the way we select the dresses.
The problem was addressed by the invention of the Smart dressing system, a smart dress recommendation system that enables the user to select the dress which will be more suited to their personality. Many people find it challenging to buy a new dress online to purchase a dress or selecta dress effortlessly and quickly, particularly when the user needs to select a dress for a particular event out of several available dresses.
While there are existing solutions for Smart dressing systems, these typically require the user to manually select the dress after spending a lot of hours on online websites. which can be a time taking in many cases and users still in confusion which dress have to be selected.
Several patents have been issued for AI technology but none of these are related to the present invention. For example, WO2018029670A1 discloses system, device, and method of image processing, particularly utilizing machine learning and computer vision. A user selects a particular shirt from an online catalog; and instead of seeing an image of the shirt on the shelf or being worn by a model, the system generates and shows to the user an image of that particular shirt being virtually dressed by that particular user. The user requests the system to show search results for blue pants; and instead of producing generic images of blue pants, on the shelf or worn by various models, the system generates user-tailored search results that shown various types of blue pants being virtually worn by the user himself, or virtually worn by a particular other person that is selected by the user. The system enhances the product image by correcting it and by adding realistically-looking shading and wrinkles.
Another patent, US20100151996A1 relates to a sensor authenticated to a garment transfers information, either wirelessly or wired, to an external data processing device. Such information includes location information, physiometric data of the individual wearing the garment, garment performance and wear data (when the garment is an athletic shoe, for example). The external data processing device can be portable digital media players that are, in turn, in wireless communication with a server computer or other wireless devices.
Another patent, US11915352B2 provides technique for combining first and second images respectively depicting first and second subject matter to facilitate virtual presentation. The first image is processed to identify portions or regions of the first subject matter and determine an estimated depth location of each portion or region. A composite image is generated that depicts the second subject matter overlayed, inserted or otherwise combined with the first subject matter. One or more of the portions or regions of the first subject matter are added, removed, enhanced or modified in the composite image in order to generate a realistic appearance of the first subject matter combined with the second subject matter. The composite image is caused to be displayed as a virtual presentation.
Another patent, US12062114B2 discloses a computerized method, system and computer program product may comprise: generating or receiving a search result in response to a user query by a user that searches for an item, the search result depicting the item; and modifying the search result by generating a combination image that depicts user-defined subject matter engaging with the item. The present invention may provide other and/or additional benefits or advantages.
Another patent, US20210082180A1 discloses a remote clothing selection includes determination of anthropometric dimensional parameters of a user, automatic assessment of correspondence of a garment to the shape and body measurements of a user, determination and provision of recommendations to a user on the selection of a particular garment and, optionally, visualization of a garment on a digital avatar of this user in the virtual fitting room, including optional change of his/her pose. The invention provides an increase in the efficiency of remote clothing selection by a user, an improvement in user's experience of remote purchase, an increase in user satisfaction and, ultimately, an increase in online sales of clothing and a decrease in the proportion of clothing returned after a purchase due to unsatisfactory matching to the shape and measurements of user's body.
Another patent, WO2024006570A1 relates to a systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.
SUMMARY OF INVENTION
This summary is not a comprehensive overview of the disclosure and does not reflect the main/essential features of the establishment or specify the scope of the establishment. Its sole purpose is to present some of the concepts presented here in a simpler way as a precursor to more detail.
This invention presents a system and method for digitizing and virtually simulating clothing and other retail products, enabling an enhanced online shopping experience through 3D modeling, body measurement estimation, and virtual try-ons.
The system integrates offline and online retail by scanning physical products using a QR code scanner or web crawling technologies to extract relevant product data. A universal wallet and one-click purchase feature streamline transactions, while a dress module and simulation system allow users to visualize garments on their body in a digital environment.
For virtual try-on, the system captures a single user image and height, applies image enhancement and perspective correction, and extracts user features to generate a volume-metric reflectance map. This data is used for figure estimation, body completion, and measurement extraction, ensuring an accurate 3D representation of the user. A similar process is applied to retail products, where item images are extracted, classified, and transformed into 3D meshes with shape and perspective corrections.
The final output includes:
• 3D user models with precise body measurements
• 3D garment models with accurate shape, size, and color attributes
• Seamless virtual dressing experience across multiple devices
By integrating AI-driven body analysis, volumetric mapping, and real-time product simulation, this invention enhances e-commerce shopping, reduces return rates, and improves customer satisfaction in online fashion retail.
Herein enclosed an an AI-powered smart vision mirror system, comprising:
a system for integrating offline products with an online ecosystem through a QR Code Scanner and a Products Web Crawler;
a mechanism that includes an Item Handler linked to a User Handler for facilitating user-specific product interactions;
a Dress Module configured to create virtual simulations based on the User Image, enabling users to visualize products (e.g., clothes) on themselves before purchase using various devices;
a payment processing system that integrates with a Universal Wallet to enable one-click purchasing;
a method for managing a product's lifecycle from Web Catalogs to customer devices by incorporating features like Item UPI for product identification and Simulations for enhanced user engagement;
a client system capable of operating across multiple devices;
a system leveraging Item UPI for precise product identification within Web Catalogs;
an integrated One Click Purchase system that connects the Universal Wallet with the Item Handler for efficient, frictionless transactions;
a Dress Module integrated with a User Image and supported by a simulation engine, offering users a virtual try-on feature for improved decision-making during online shopping; and
a method utilizing a QR Code Scanner to bridge offline physical products with their online presence for enhanced product discovery and customer engagement.
A method of the system as claimed in claim 1, wherein the method for creating a virtual representation of a user's body, comprising the steps of:
Receiving a single user image and user height;
Performing image enhancement and perspective correction to ensure accuracy in proportions; and
Extracting the user’s body from the image to isolate relevant features.
The method comprising generating a volume-metric reflectance map from the extracted user data to capture the user’s 3D body structure and surface details.
The method further estimating the user’s figure based on the volume-metric reflectance map to determine key body dimensions and shapes.
The figure estimation process includes generating accurate measurements of the user’s body dimensions for applications such as garment fitting.
The method further performing body completion to create a full-body model, including occluded or missing parts of the user’s body, for a comprehensive 3D representation.
The body completion process is used for generating an accurate 3D mesh of the user’s body to enable virtual garment fitting and simulations.
The garment inpainting process ensures realistic alignment and fitting of garments on the virtual representation by utilizing the user’s body measurements and reflectance map.
The extraction of item data from an item image, including details such as item type, measurements, and other metadata.
The method comprising a shape estimation process for determining the three-dimensional geometry of the extracted item, providing accurate shape data.
The perspective and shape correction are applied to ensure the accuracy of the item’s shape, size, and alignment for integration with user body models.
The extracted 3D mesh is used for simulating the placement or fit of the item on a user’s virtual body model for enhanced visualization and user interaction.
These and other aspects of the embodiments herein will be better appreciated and understood when considered in concurrence with the following explanation and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
OBJECTIVES OF INVENTION
The primary objective of this invention is to provide an accurate virtual try-on experience.
Another object of the present invention is to enable precise user and product measurements.
Another object of the present invention is to utilize AI for body and clothing shape estimation.
Another object of the present invention is to utilize AI for body and clothing shape estimation.
Another object of the present invention is to automate user measurement extraction using AI.
These and other objects and advantages of the present invention will become readily apparent from the following detailed description.
Brief summary of the figures
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1: schematic block-diagram illustration of a system, in accordance with some demonstrative embodiments of the present invention.
Figure 2: schematic block-diagram illustration of the User Handler Module, in accordance with some demonstrative embodiments of the current invention.
Figure 3: schematic block-diagram illustration of item Handler Module, in accordance with some demonstrative embodiments of the present invention.
Figure 4: schematic block-diagram illustration of a Universal Dressing Module, in accordance with few demonstrative embodiments of the present invention.
The figures and tables depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In some embodiments of the present invention, the present invention relates to an advanced virtual try-on system designed to enhance the online shopping experience by allowing users to visualize how clothing items will fit and appear on their bodies before making a purchase.
In some embodiments of the present invention, this system utilizes artificial intelligence (AI), 3D modeling, real-world physics simulations, and image processing techniques to create a highly accurate and interactive digital fitting experience.
In some embodiments of the present invention, the invention bridges the gap between offline and online shopping by integrating user body measurements, clothing shape estimation, and realistic garment draping to ensure an accurate representation of how an outfit will look on the user.
In some embodiments of the present invention, the system operates by first capturing essential user and product data. Users provide a single image along with their height, while product images and metadata such as fabric type, size, and texture are extracted from digital catalogs.
In some embodiments of the present invention, using image enhancement and perspective correction techniques, the system processes the user’s image to ensure accuracy. The user is then extracted from the background, and a 3D volume-metric reflectance map is generated to estimate the body’s structure. This step allows for precise figure estimation, ensuring that garments are appropriately scaled and aligned to fit the user’s unique body shape.
In some embodiments of the present invention, once the user’s body structure is determined, the system estimates the shape and fit of the selected clothing items. Product shape estimation is carried out by analyzing the clothing’s dimensions and adjusting them based on user body measurements, gravity-based draping simulations, and fabric type considerations.
In some embodiments of the present invention, the clothing is then matched to the user’s body, ensuring a natural and realistic fit. Additionally, the system allows users to layer multiple outfits, simulating real-world dressing scenarios where garments such as shirts, jackets, and pants can be combined seamlessly.
Herein enclosed an AI-powered smart vision mirror system, comprising:
a system for integrating offline products with an online ecosystem through a QR Code Scanner and a Products Web Crawler;
a mechanism that includes an Item Handler linked to a User Handler for facilitating user-specific product interactions;
a Dress Module configured to create virtual simulations based on the User Image, enabling users to visualize products (e.g., clothes) on themselves before purchase using various devices;
a payment processing system that integrates with a Universal Wallet to enable one-click purchasing;
a method for managing a product's lifecycle from Web Catalogs to customer devices by incorporating features like Item UPI for product identification and Simulations for enhanced user engagement;
a client system capable of operating across multiple devices;
a system leveraging Item UPI for precise product identification within Web Catalogs;
an integrated One Click Purchase system that connects the Universal Wallet with the Item Handler for efficient, frictionless transactions;
a Dress Module integrated with a User Image and supported by a simulation engine, offering users a virtual try-on feature for improved decision-making during online shopping; and
a method utilizing a QR Code Scanner to bridge offline physical products with their online presence for enhanced product discovery and customer engagement.
A method of the system as claimed in claim 1, wherein the method for creating a virtual representation of a user's body, comprising the steps of:
Receiving a single user image and user height;
Performing image enhancement and perspective correction to ensure accuracy in proportions; and
Extracting the user’s body from the image to isolate relevant features.
The method comprising generating a volume-metric reflectance map from the extracted user data to capture the user’s 3D body structure and surface details.
The method further estimating the user’s figure based on the volume-metric reflectance map to determine key body dimensions and shapes.
The figure estimation process includes generating accurate measurements of the user’s body dimensions for applications such as garment fitting.
The method further performing body completion to create a full-body model, including occluded or missing parts of the user’s body, for a comprehensive 3D representation.
The body completion process is used for generating an accurate 3D mesh of the user’s body to enable virtual garment fitting and simulations.
The garment inpainting process ensures realistic alignment and fitting of garments on the virtual representation by utilizing the user’s body measurements and reflectance map.
The extraction of item data from an item image, including details such as item type, measurements, and other metadata.
The method comprising a shape estimation process for determining the three-dimensional geometry of the extracted item, providing accurate shape data.
The perspective and shape correction are applied to ensure the accuracy of the item’s shape, size, and alignment for integration with user body models.
The extracted 3D mesh is used for simulating the placement or fit of the item on a user’s virtual body model for enhanced visualization and user interaction.
EXAMPLE
BEST METHOD
The present invention relates to an advanced virtual try-on system designed to enhance the online shopping experience by allowing users to visualize how clothing items will fit and appear on their bodies before making a purchase. This system utilizes artificial intelligence (AI), 3D modeling, real-world physics simulations, and image processing techniques to create a highly accurate and interactive digital fitting experience. The invention bridges the gap between offline and online shopping by integrating user body measurements, clothing shape estimation, and realistic garment draping to ensure an accurate representation of how an outfit will look on the user.
The system operates by first capturing essential user and product data. Users provide a single image along with their height, while product images and metadata such as fabric type, size, and texture are extracted from digital catalogs. Using image enhancement and perspective correction techniques, the system processes the user’s image to ensure accuracy. The user is then extracted from the background, and a 3D volume-metric reflectance map is generated to estimate the body’s structure. This step allows for precise figure estimation, ensuring that garments are appropriately scaled and aligned to fit the user’s unique body shape.
Once the user’s body structure is determined, the system estimates the shape and fit of the selected clothing items. Product shape estimation is carried out by analyzing the clothing’s dimensions and adjusting them based on user body measurements, gravity-based draping simulations, and fabric type considerations. The clothing is then matched to the user’s body, ensuring a natural and realistic fit. Additionally, the system allows users to layer multiple outfits, simulating real-world dressing scenarios where garments such as shirts, jackets, and pants can be combined seamlessly.
To enhance realism, the system employs light extrapolation, shadow estimation, and perspective correction. These techniques ensure that the clothing appears natural under different lighting conditions, with shadows accurately placed to create depth perception. The system also prevents overlapping errors, ensuring that multiple clothing items do not create unrealistic distortions. Furthermore, reverse perspective correction ensures that garments maintain their real-world proportions when displayed on different devices.
The virtual try-on system also integrates e-commerce functionalities, allowing users to make one-click purchases directly from the interface. A universal wallet system facilitates seamless transactions, making the shopping process more efficient. Users can customize their virtual outfits, try different clothing combinations, and experiment with colors and styles before finalizing their purchase.
The invention offers numerous advantages, including reducing product return rates, enhancing user confidence in online purchases, and optimizing the digital fashion retail experience. By using AI-driven shape estimation and real-world fabric simulations, the system ensures that users get an accurate representation of how a garment will look and fit on their body. The technology is compatible with various devices, including smartphones, tablets, and computers, making it accessible to a wide range of users.
In addition to e-commerce applications, this invention can be utilized in augmented reality dressing rooms, virtual avatars, gaming, and custom tailoring services. The system’s ability to extract precise body measurements makes it highly suitable for bespoke fashion and made-to-measure clothing solutions. By providing a real-time, AI-powered virtual dressing experience, this invention revolutionizes the way consumers shop for clothing, making the process more interactive, convenient, and reliable.
, Claims:1) An AI-powered smart vision mirror system, comprising:
a) a system for integrating offline products with an online ecosystem through a QR Code Scanner and a Products Web Crawler;
b) a mechanism that includes an Item Handler linked to a User Handler for facilitating user-specific product interactions;
c) a Dress Module configured to create virtual simulations based on the User Image, enabling users to visualize products (e.g., clothes) on themselves before purchase using various devices;
d) a payment processing system that integrates with a Universal Wallet to enable one-click purchasing;
e) a method for managing a product's lifecycle from Web Catalogs to customer devices by incorporating features like Item UPI for product identification and Simulations for enhanced user engagement;
f) a client system capable of operating across multiple devices;
g) a system leveraging Item UPI for precise product identification within Web Catalogs;
h) an integrated One Click Purchase system that connects the Universal Wallet with the Item Handler for efficient, frictionless transactions;
i) a Dress Module integrated with a User Image and supported by a simulation engine, offering users a virtual try-on feature for improved decision-making during online shopping; and
j) a method utilizing a QR Code Scanner to bridge offline physical products with their online presence for enhanced product discovery and customer engagement.
2) A method of the system as claimed in claim 1, wherein the method for creating a virtual representation of a user's body, comprising the steps of:
a) Receiving a single user image and user height;
b) Performing image enhancement and perspective correction to ensure accuracy in proportions; and
c) Extracting the user’s body from the image to isolate relevant features.
3) The method as claimed in claim 2, wherein comprising generating a volume-metric reflectance map from the extracted user data to capture the user’s 3D body structure and surface details.
4) The method as claimed in claim 2, wherein the method further estimating the user’s figure based on the volume-metric reflectance map to determine key body dimensions and shapes.
5) The method as claimed in claim 2, wherein the figure estimation process includes generating accurate measurements of the user’s body dimensions for applications such as garment fitting.
6) The method as claimed in claim 2, wherein the method further performing body completion to create a full-body model, including occluded or missing parts of the user’s body, for a comprehensive 3D representation.
7) The method as claimed in claim 2, wherein the body completion process is used for generating an accurate 3D mesh of the user’s body to enable virtual garment fitting and simulations.
8) The method as claimed in claim 2, wherein the garment inpainting process ensures realistic alignment and fitting of garments on the virtual representation by utilizing the user’s body measurements and reflectance map.
9) The method as claimed in claim 2, wherein the extraction of item data from an item image, including details such as item type, measurements, and other metadata.
10) The method as claimed in claim 2, wherein the method comprising a shape estimation process for determining the three-dimensional geometry of the extracted item, providing accurate shape data; and perspective and shape correction are applied to ensure the accuracy of the item’s shape, size, and alignment for integration with user body models; and extracted 3D mesh is used for simulating the placement or fit of the item on a user’s virtual body model for enhanced visualization and user interaction.