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WO2022053888A1 - Intelligent integrated software platform for contractors to renovate or change interior decoration - Google Patents

Intelligent integrated software platform for contractors to renovate or change interior decoration
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WO2022053888A1
WO2022053888A1PCT/IB2021/057304IB2021057304WWO2022053888A1WO 2022053888 A1WO2022053888 A1WO 2022053888A1IB 2021057304 WIB2021057304 WIB 2021057304WWO 2022053888 A1WO2022053888 A1WO 2022053888A1
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contractors
project
contractor
platform
knowledge
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French (fr)
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Mohammadhadi ZARE
Zahra ZARE
Mohammadmehdi ZARE
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Abstract

Integrated intelligent software platform for contractors to renovate or change interior decoration by integrating with augmented reality technology and intelligent social network between contractors and customers and works according to the definition of a project to renovate or change the interior decoration of the house. The information of the contractors (Cognitive Science) has already been created in the conceptual knowledge database and the analysis of the contractors' score is formed by artificial intelligence and deep learning techniques and neural networks. The user ordering the project can consider the eligible contractors for the defined project in two ways: The contractor directly offers the cost and time and the artificial intelligence of the software social network, according to the knowledge of the concept of the contractor in its knowledge base, offers the best contractor, the best time and the best price. The analysis of contractors' scores on the platform is formed

Description

Intelligent integrated software platform for contractors to renovate or change interior decoration
Integrated intelligent software platform for contractors to renovate or change interior decoration by integrating with augmented reality technology and intelligent social network between contractors and customers and works according to the definition of a project to renovate or change the interior decoration of the house. the information of the contractors (Cognitive Science) has already been created in the conceptual knowledge database and the analysis of the contractors' score is formed by artificial intelligence and deep learning techniques and neural networks.
the user ordering the project can consider the eligible contractors for the defined project in two ways: The contractor directly offers the cost and time and The artificial intelligence of the software social network, according to the knowledge of the concept of the contractor in its knowledge base, offers the best contractor, the best time and the best price. the analysis of contractors' scores on the platform is formed by artificial intelligence and deep learning techniques and neural networks.
Network-specific arrangements or communication protocols supporting networked applications involving third party service providers (H04L67/20) - Artificial intelligence
Method and apparatus for providing network based interior design application
United States Patent 7801114
A method and apparatus for enabling a subscriber to send a video scan of an interior space to a network based interior design application are disclosed. In one embodiment, the network may create a blueprint of the room based on the video scan provided by the subscriber and may suggest interior design changes to the existing space. The network can also provide specific products to be used to enhance the overall appearance of the room. Through the network, the subscriber can also request more information regarding product suggestions including detailed product and purchase related information. By receiving the image, this application gives detailed recommendations about interior design to the user and presents small ideas, while our application, by reviewing the previous work and the contractor's resume and other specialized items, is the best contractor who can design a suitable design for the user environment. Finds and the user can safely leave zero to one hundred design tasks to them and receive the best possible interior design.
Method for quickly implementing an interior design scheme
US20160070826A1
The present invention discloses a method for quickly implementing an interior design scheme, including: step 1) design of a prototype room, dividing and setting a room into functional areas according to a type of a room, designing each of the functional areas in three sizes, that is, a large size, a medium size and a small size, and with a design style by a designer; step 2) designing a prototype room by each designer, forming the functional areas and recording them in an easily-implemented system, according to an easily-implemented protocol and rule, and in an easily-implemented computer description language, functions and formulas; step 3) transforming the designed prototype room into computer description language and formulas, and transferring it to a cloud platform, and synchronizing it to software of any hypostatic store in any place across the world; and step 4) in a hypostatic store, adjusting sizes of the functional areas, arranging positions of the functional areas and selecting a prototype room according to the type of the room, and transforming functions and formulas of a previously designed prototype room scheme into a three-dimensional stereo and presenting the three-dimensional stereo immediately by a computer. This application does not work intelligently while the mentioned design works intelligently and using artificial intelligence.
SYSTEM AND METHOD FOR GENERATING AN INTERIOR DESIGN
United States Patent Application 20160048497
A processor implemented method for generating one or more interior designs for a space using an interior design generation system is provided. The method includes following steps: (i) a user specification is obtained from a user; (ii) the user specification is represented in a markup language to obtain a markup user specification; (iii) the markup user specification is parsed to obtain a markup space characteristic and a markup user characteristic; (iv) the (a) markup space characteristic and (b) markup user characteristic are compared with an interior design that is stored in a database to obtain a list of relevant combination of the relevant interior design components; (vii) the list of relevant combination of the relevant interior design components is arranged based on a set of rules to obtain the interior design representation in the markup language; and (viii) an interior design representation is rendered by a browser on a device. This system itself is based on data and examples. It does the interior design and therefore the design it offers is not reliable and is very weak but in our design, very strong interior design teams are used, which have experienced and tasteful people.
Interior Design System Using Real-Time Rendering Technology
United States Patent Application 20180032214
3D reality rendering technology is embodied in computational apparatus and automated process for interior space design, with which combinations of interior space design elements can be extracted, saved, and be applied to other spaces. A system and data structure for saving and loading coded elements are created to allow design elements to be applied into new projects where these elements form new space characteristics. Thus, time-consuming limitations of conventional 3D design software are overcome, for example, by enabling repetition of same working process in allocating design elements into the interior space. In this way, design elements are not rebuilt or allocated manually for every project, and preferably only material or shape of elements may be changed. Furthermore, by using internet and 3D rendering technologies to share combinations of interior design elements to other user's design project, the design process is shortened to save time. In particular, one or more element is analyzed and coded automatically into a database, where element characteristics are categorized into parameter groups; such elements may be applied into certain space as a set of “DNA”, and can be changed freely by users, and design proposals can thereby be created more quickly. Preferably, a computational apparatus includes a coding system of design elements, a searching method using code values, and certain types of elements being interchangeable with 3D rendering. Thus, the design process may be shortening and optimized by applying combinations of design elements, and design results are adjustable, and shareable among users, thereby accumulating huge numbers of “DNA” s in the database. Optionally, processor automates design-by-list approach, wherein in website or application, one or more user may generate design by creating a list of interior items, and processor or server automatically generates panorama view of such design in the space; preferably, user may repeat the process, and change items in the list, such that processor/server creates panorama and sends to user device according to latest change.
In this smart solution, which is presented in the form of an integrated intelligent software platform, the goal is to automatically and intelligently execute the process of renovating or changing the decoration of the home or company space from the beginning to the end by the best contractor. With this intelligent software solution, the user can select the desired elements for the new decoration through augmented reality technology or by entering an image that in other graphic environments, through image processing technology, the new elements are recognized. Descriptive image properties are automatically defined as project field values automatically define a project. The project defined in the software is available to contractors with profiles in the dedicated social network of our software platform. The user ordering the project can consider eligible contractors for the customized project in two ways. Contractor score analysis is also formed by artificial intelligence and deep learning techniques and neural networks. The choice of contractor is ultimately the responsibility of the user.
If you are planning to renovate your home, an architect can be of great help to you. Whenever you are demolishing a wall or changing a part of your home, hiring an architect can be a good idea as well as the right job management. While the design and renovation process is fraught with external problems, with a few simple steps you can get rid of the worry of hiring the right architect. If the renovation does not require replacement of the walls and materials, it is better to hire a contractor. Contractors will be able to further control the renovation of the house. Changing materials in jobs such as cabinets, flooring, paint and lighting is easy for the contractor, but if you want to change the design of your home, you need to hire an architect. By searching on Google and finding an architectural and building reconstruction site and reviewing its completed projects, comparing the scope of its completed projects with your project is a useful way to get to know and find the desired contractor, but it takes time. In order to be able to find a skilled contractor in the shortest possible time, an intelligent platform has been designed that communicates between contractors and customers. The purpose of designing this smart product is to help customers to establish a relationship based on quality knowledge of contractors in the shortest time and with the least error to participate and interact in a project. The existing knowledge of each contractor in the current patent knowledge base is obtained from various methods in order to be able to provide intelligent proposals to customers at the appropriate time, economically, temporally and qualitatively, using the Recommendation System. The most important goal of the plan is to do the interior design of the environment in the best and most optimal way. The best interior design to implement the interior design of the desired environment and create employment for interior designers.
Solution of problem
The present invention relates to a new method of combining Augmented Reality technology and intelligent social networking between contractors and customers, the relationship between which is based on the definition of a home remodeling project. Contractor information that has already been created in the conceptual knowledge database, Contractor score analysis is also formed by artificial intelligence and deep learning techniques and neural networks. The purpose of designing this smart product is to help customers to establish a relationship based on quality knowledge of contractors in the shortest time and with the least error to participate and interact in a project. The existing knowledge of each contractor in the current patent knowledge base is obtained from various methods in order to be able to provide intelligent proposals to customers at the appropriate time, economically, temporally and qualitatively, using the Recommendation System.
In this smart solution, which is presented in the form of an integrated intelligent software platform, the goal is to automatically and intelligently execute the process of renovating or changing the decoration of the home or company space from the beginning to the end by the best contractor. With this intelligent software solution, the user can select the desired elements for the new decoration through augmented reality technology or by entering an image that in other graphic environments, through image processing technology, the new elements are recognized. Descriptive image properties are automatically defined as project field values automatically define a project. The project defined in the software is available to contractors with profiles in the dedicated social network of our software platform. The user ordering the project can consider eligible contractors for the customized project in two ways:
  1. The contractor directly offers cost and time
  2. The artificial intelligence of the software social network, according to knowing the concept of the contractor in its knowledge base, offers the best contractor, the best time and the best price.
Contractor score analysis is also formed by artificial intelligence and deep learning techniques and neural networks. The choice of contractor is ultimately the responsibility of the user. The process of ordering and executing the project in the software continues, and finally, when the project is completed, the user enters his point or descriptive opinion on the good work of the contractor in the social network to monitor visitors and update the contractor's smart score.
First, the project needs to be described correctly so that any decorative designer can read the description and understand the project and the existing elements. If the user (homeowner) has the ability to write this description, he can adjust it himself, and if he needs help, he can use the features of Environment Analyzer and AR based Environment Analyzer Virtual Environment Editor to write a better description of the program. This system uses Environment Analyzer to analyze the environment by receiving the image taken by the user from the environment and identifies and describes the components in the image such as tables, chairs, flooring, etc. It then uses the AR-based Environmental Analyzer Virtual Environment Editor based on augmented reality to add elements to the environment and edit the description and adjust the description of the final project. (Augmented reality is a vivid, direct, or indirect (and usually user-interactive) physical view that adds elements to people's real-world. These elements are created based on computer products that receive and process user information through input sensors such as audio, video, graphics, or GPS data.)
After completing the project description, according to certain calculations and data, the cost of the project is estimated and the user is approximately informed of the project budget. Then we reach the stage of selecting a contractor and this program finds the best contractors with special algorithms and according to the project itself and sends the projects to them. And any contractor who accepts the project will be notified to the user with a notification and the user can negotiate with the contractor and sign a contract with the contractor who agrees and the contractor can start the project. At the beginning of the project, the contractor receives the agreed amount from the user and blocks it in the system, and after the project, if the output of the work is approved correctly by the relevant expert and the user, the amount will be credited to the contractor's account. Finally, the application improves its artificial intelligence by using the feedback of this project and gradually becomes more efficient by using machine learning.
Advantage effects of invention
Contractors score analysis also by artificial intelligence and deep learning techniques and neural networks
Integration of Augmented Reality technology and smart social networking between contractors and customers
Helping customers to establish a relationship based on quality knowledge of contractors in the shortest time and with the least error to participate and interact in a project
Reconstruction project or change of home interior decoration based on artificial intelligence
The existing knowledge of each contractor in the current patent knowledge base is obtained from various methods in order to be able to offer smart, economically, temporally and qualitatively appropriate offers to customers at the right time, using recommending systems.
: diagram of system overview
: diagram of environment analyzer
: diagram of AR based virtual environment editor
: diagram of project description
: diagram of price estimation
: diagram of contractor selection
: diagram of contractor/ user negotiations
: diagram of verification and with draw
: diagram of feedback/ online learning
: diagram of system overview
: diagram of environment analyzer
: diagram of AR based virtual environment editor
: diagram of project description
: diagram of price estimation
: diagram of contractor selection
: diagram of contractor/ user negotiations
: diagram of verification and with draw
: diagram of feedback/ online learning
Examples
Using this platform, it is possible to change the interior decoration among the contractors in the shortest possible time, and according to the artificial intelligence of this platform, the contractors are ranked.
This platform can be used in all centers in the field of architecture and decoration. Also, all contractors can have their own social network in this platform and interact with customers.

Claims (9)

PCT/IB2021/0573042021-08-082021-08-08Intelligent integrated software platform for contractors to renovate or change interior decorationCeasedWO2022053888A1 (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US12175562B2 (en)2022-11-112024-12-24MFTB Holdco, Inc.Automated inter-image analysis of multiple building images for building information determination
US12190581B2 (en)2021-02-252025-01-07MFTB Holdco, Inc.Automated usability assessment of buildings using visual data of captured in-room images
US12347033B1 (en)2022-11-112025-07-01MFTB Holdco, Inc.Automated inter-image analysis of multiple building images for building floor plan generation
US12444139B2 (en)2022-09-222025-10-14MFTB Holdco, Inc.Automated generation and presentation of visual data enhancements on camera view images captured in a building

Citations (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
KR20200089225A (en)*2020-01-132020-07-24김성용System for interior design mediation using augmented reality
KR20210036184A (en)*2019-09-252021-04-02이미진Item recommendation module based on user taste information and method for identifying user taste information

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
KR20210036184A (en)*2019-09-252021-04-02이미진Item recommendation module based on user taste information and method for identifying user taste information
KR20200089225A (en)*2020-01-132020-07-24김성용System for interior design mediation using augmented reality

Cited By (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US12190581B2 (en)2021-02-252025-01-07MFTB Holdco, Inc.Automated usability assessment of buildings using visual data of captured in-room images
US12444139B2 (en)2022-09-222025-10-14MFTB Holdco, Inc.Automated generation and presentation of visual data enhancements on camera view images captured in a building
US12175562B2 (en)2022-11-112024-12-24MFTB Holdco, Inc.Automated inter-image analysis of multiple building images for building information determination
US12347033B1 (en)2022-11-112025-07-01MFTB Holdco, Inc.Automated inter-image analysis of multiple building images for building floor plan generation

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