DESC:FIELD OF INVENTION

[001] The invention relates generally toan architectural and interior design for buildings, and more particularly, to a system and method for automatically generatinginterior virtual data forauser space with furnished attributes and displaying it to the user.
BACKGROUND OF INVENTION

[002] In architectural designing, the interior designing of the buildingsinvolves human interactions. As the interior design is inextricably linked to architecture,it can be studied and designed only with an architectural context.The interior designing generally involvesa process of designing the interiors of a building (which includesspaces like living room, kitchen room, storeroom, dining room etc.) with various furnishing elements. For an effective interior designing, major parameters that need to be considered are floor plan, space, texture, and mass of the object for the space.Further,there are various kinds of interior designs, which can be categorized asresidential design, commercial design, hospital design, healthcare design, office space design etc.
[003] Conventional interior designinggenerally involves the steps of creating a floor plan by drawing spaces such as kitchen room, dining etc. Each space further divided into architectural components likewindows, doors, etc. The space furtherdivided down to furnishing elements in all possible combination of arrangements. Such conventional designing mayinvolve more effort in planning the floor andincluding spaces for different use.
[004] In recent advancements of the technology, many online interior design applications allowusers to design the interior plans by themselves through selecting the coordinates of the floor plan, drawing the space on the floor plan, and placingfurnishing elements into thespace. Such applications may further allow users to customize the space or room by selecting the required furnishing elements for each space.Further, the user can also select various other parameters such as, color, size etc., for the elements and the space to have artistic appearance.
[005] Though many software applications available in the market allowusers to design various spaces with appropriate floor plan, select interior colors and furnishing elements and display the created design to the user on the computer in various perspective views of the interior, they are not reasonable asthose software applications may involve time-consuming process for the user in reselecting the exact furnishing elements to fit into the space. Some of the software applications may also provide 360-degree view of the floor plan from any desired vantage point, with or without including the furnishing elements based on the user selection. In all the aforementioned applications, the user defines the floor plan for each space dimensions andhence,the user has to be aware of the space required for such elements to fit into the space.
[006] In light of the aforementioned points, there is a need for a system and methodthat seamlessly integrates all the features and facilitates a user to access avirtual interior designing system that generates an automatic interiorvisual for a particular given spatial data of floor.The generated data having one or more visual interior designs corresponding to at least one user space andhaving a plurality of attributes for said user space, thereby utilizing the space in an effectively manner.
OBJECT OF INVENTION

[007] The principal object of this invention is to provide a system and method of virtual interior designing to generate an automatedvisual interior design for a spatial data of floor planas received from a user.
[008] The object of the invention is to receive one or more user spaces such as living room, dining room etc, and search for furnishing attributes from database for each space depending on the usage of each space and then is to insert and arrange the identified attributes that matches the corresponding user space.
[009] Theobject of the invention is to generatemultiple visual interior designs automatically from single spatial data received from the user.
[0010] The object of the invention is to utilize the user space effectively.
[0011] Another object of the invention is to optimize the time for generating visual interior design.
[0012] Yetanother object of the invention is to rank the generated visual interior data for each user space.
[0013] Additional object of the invention is to estimate the cost for implementing such generated visual interior data into real time interior design.
[0014] Another additional object of the invention is to automatically partition the floor space into one or more user spaces such as living room, dining room etc, and search for furnishing attributes from database for each space depending on the usage of each space and then is to insert and arrange the identified attributes that matches the corresponding user space.
STATEMENT OF INVENTION

[0015] Accordingly, the invention provides a system and method of virtual interior designing for an automatic generationof an interiorvisual designfor a given set of spatial data of floor such as dimensions of the floor etc, from a user. The method may receive one or more user spaces,searchesfor a suitable furnishing attributes from database for each space depending on the usage of each space, insertsthe identified attributes that matches the corresponding user space, arranges the inserted attributes in the corresponding user space, representsthe arranged user space as visual interior data or design. Further, transmits the generatedvisual interior data, and displays the transmitted data to the user.The inventionprovides optimized time required for generating suchinterior visual data, estimates the cost for implementing generated data in real time andutilize the user space in effective manner and further, thegenerated visualinterior data may include multiple visual interior design sets for the user to select his/her choice of interior design from the designedsets.
[0016] Theseandotheraspectsoftheembodimentshereinwillbe better appreciated and understood when considered in conjunction with the followingdescriptionandtheaccompanyingdrawings.
BRIEF DESCRIPTION OF FIGURES

[0017] This invention is illustrated in the accompanying drawings, throughout which, like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:
[0018] Fig. 1 depicts/illustrates an online virtual interior design network system, in accordance with an embodiment of the invention.
[0019] Fig. 1A depicts/illustrates details of a virtual interior design system of FIG.1, in accordance with an embodiment of the invention.
[0020] Fig. 2 depicts/illustrates details of a method of virtual interiordesigning, in accordance with an embodiment of the invention.
[0021] Fig. 3 depicts/illustrates User device interface, which consists of system showing an example for hierarchy arrangement of interior designs, in accordance with an embodiment of the invention.

DETAILED DESCRIPTION OF INVENTION

[0022] The embodiments herein, the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and /or detailed in the following description. Descriptions of well-known components and processing techniques are omitted to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skilled in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0023] The embodiments below provide a system and method for generating an automatic visual interior design data for a spatial data of floorbased on the spatial data received from the user. The generated data having one or more visual interior design(s) corresponding to at least one user space and the design(s) having a plurality of attributes for said user space, thereby utilizing the space in an effective manner.
[0024] Referring now to the drawings, and more particularly to Fig. 1, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[0025] Fig. 1 depicts an online virtual interior designing network system 100, in accordance with an embodiment of the invention. The network system 100 includes a virtual interior design system 110 and one or more computing devices 102 -1, 102-2, 102-3,…..N, collectively referred to as computing devices 102 hereinafter, connected via a network 104. There may be more than one computing device (s) 102thatcan access the system 110 at a time via the network 104. Eachcomputing device 102 includes a virtual interior design browser platform140 to receive a spatial data from a user accessing the computing device 102. The spatial data may be the floor spacefor a residential layoutor office space layout etc or may be the dimensions of a single space (kitchen, bedroom, dining hall etc). The floor plan may include various parameters such as, size and dimensions of the room like lengthand breadth of the room. Space details may further extend to size of the door, size of the window, etc.
[0026] In an example of one embodiment, the floor space of a residential layout may have rooms such as, living room, dining hall, bedrooms, storerooms, great room, kitchens, study rooms, home office, garages, attics, basements, laundry room etc. Similarly, the floor space of an office layout may have rooms such as, workroom, conference room, discussion room, restroom, break room, storerooms, restaurant room, parking layouts, emergency, and evacuation etc.Aforementioned floor space is intended to have one or more user space for different usage of the space and each space may accommodate corresponding furnishing attributes. The expression “room “ can be interchanged with other words such as “space” or “area”, the space may include an empty region intended to include various furnishing attributes.
[0027] In one embodiment, the computing device 102may receive userspace datafrom the user via the browser platform 140. The user may enter the user spacedata eitherin a numerical formrepresenting the size of the user space or in a visual format such as image, jpg, and pdf representing pictorial representation of the floor plan with dimensions.Further, the computing device 102 may send such received user space datato the virtual interior design system 110 via the network 104.One skilled in the art, may recognize that the network 104 can be various types of networks, such as intranet, Local area network (LAN), Wide area network (WAN), internet, etc.
[0028] Fig. 1A depicts the system 110is configured to process the received user space data from the computing device 102.The system 110 includes a processor 112, Input/output (I/O) device(s) (not shown in the Fig), and a memory 114coupled to the processor 112.The I/O device (s) may include communication network device(s) such as, WLAN, WIFI, routers, bridges, and hub, to facilitate and allow the system 110 to communicate with computing device (s) 102 via the network. The processor 112 is configured to fetch and execute the methods that arestored as instruction in the memory 114. The memory 114 may include modules such as receiving module 116, visual data transforming module 118, optimizing module 124, ranking module 126, cost estimator module 128, and visual data transmitter module 130. The receiving module 116 may receive the user space data sent by computing device (s) 102 via the I/O device.The received data may include either a numerical data comprisingthe measurementsof the space such as height, width, etc or the visual format that may include size of the space. In an example, the visual format includesuser space details that aredefined by the end user for theparticular user space in a residential or office layout. The user space may be a living room, dining room, conference room etc.
[0029] In another embodiment, the computing device 102 may receive a floor space with one or more user space data from the user via the browser platform 140. The received data may include either a numerical data comprising the measurements of the space such as height, width, etc or the visual format that may include size of the space. In an example, the visual format includes floor space with may or may not of user space detailsthat is defined by the end user for theparticular floor space in a residential or office layout.

[0030] In one embodiment of the invention, the transforming module 118 receives the user space data from the receiving module 116. The transforming module 118 includes an artificial intelligence module120thatcomprises an inference engine 120 –1, knowledge base 120 -2, and a database 106. The knowledge base 120 -2 is coupled to the database 106 to store the predefined knowledge such as factsand rules of residential and office layout having different floor plan dimensions for selected user space to accommodate corresponding attributes. Each attributes may have mass, where the mass is the size and weight of the attributes. The facts may include the interior building finishing and interior decorating element details. The fact is to check whether the received data is in visual format. Further, the fact includesthe searching of suitable attributes from the database 106 for given user space, counting thenumber of attributes such as home appliance, TV etc. thatcan be accommodated in theuser space and suggestingthe places for corresponding attributes to accommodate in the user space etc.Based on the facts, the rules may make decision depending on the received user space data.The inference engine 120 -1 is coupled to the knowledge based 120 -2, to obtain solution for decision making as visual objects.
[0031] In one embodiment, therule isto adapt the design to the user space. For example, if there is a window in the kitchen, the inference engine will format and arranges a sink below the window in the kitchen design, it will design the functional aspects of the kitchen based on design rule algorithm, like ensuring that the cutlery tray is close to the cooking counter etc.In an example, Rule 1: If received data is visual format, then format is converted into 2D and further represented in 3D dimension. In another example, Rule 2: if the receiveddata is numerical data such as dimensions, then the data is divided into number of user pace, and accommodating each floor with corresponding attributes as visual objects. From the above, the transforming module 118 may further include optimize module 124 configured to arrange the suggested visual objects of the attributes in the corresponding generated user space, thereby optimizing the time required for re-arranging the attributes in real time implementation. The optimization module 124 performs the rule based decision for automatic arrangement of suggested visual objects of the attributes in the user space. For example, the user space such as living room may accommodate attributes such as, 2 chair, 1 sofa, and 1 TV stand etc, the rule based decision may suggest another sofa in the user space by calculating the mass of the attributes and rearranges another sofa more effectively in the living room. In another example, the living room may accommodate only 1 chair, 1 sofa, and a TV stand etc, but the rule based decision may suggest removing one of the attributes such as a chair and rearranges the attributes more effectively. Thus,the optimization module 124reduces the end user efforts in rearranging the real time attributes in the corresponding user space and utilizes the space more effectively. The optimization module is further configured to permit the user to change specific attributes such as color, type of materials, number / quantity and such changes are sent to a server that is configured to generate real time installation predictions such as time and cost of installation for the user. For example, if the user changes the type of wood to be used for the furniture, the sever is configured to automatically calculate the change in cost and installation time.Further, the transform module 118 may also generate multiple visual data including different interior designing data with different combination of interior building finishing and interior decorating elements for the received user space data.
[0032] In one embodiment, the ranking module 126may rank the generated visual data dependingupon one of the following characteristics such as, the interior building finishing, interior decorating elements, and the life style of the end user, such characteristics are directly related to cost. For example, one visual data may have costlier building finishing and interior decorating elements representing the visual data to have affluent interior appearance of the user space, rating such costlier finishing with 10 star’s. In another example, if the visual data of user space accommodated with moderate finishing and decorating elements then the visual data may be rated with 5 stars.
[0033] In one embodiment, the cost estimator 128 estimates the total cost involved in implementing such generated visual data in real time. The cost estimator 128 obtains the cost of each attributes accommodated in the user space from the database 106. In said embodiment, the visual data transmitter 130transfers the generated visual data along with ranking details and cost estimation to the computing device 102 via the I/O’s via the network 104.
[0034] In one embodiment, the computing device (s) 102 may receive the transmitted visual data along with ranking and cost estimation details. These details are displayed in the computing device (s) 102 via the browser 140. The browser 140 may display the received visual data as 2D plan, 2D elevation, and interactive 3D format enabling the user to understand the visual data perspective view when implemented in real time. The browser 140 may include customize options so that the user may customize the generated visual data depending on his/her preferences. For example, if the user doesnot like generated visual data, the user may opt for customization option available in the browser 140, thereby allowing the user to design the visual data for his/her space based on his/her preferences such as the life style, budget,colors etc, The system 110may receive preferences of the user from the computing device (s) 102 and generates the visual data based on the preferences. Further, the system 110 transmits the generated user preference visual data along with ranking and cost estimation to the computing device (s) 102. In another example, the browser 140 may ask for few queries to the user regarding preferences of the user space. The user may reply to such query, and the reply is further sent to the system 110 where the system 110 may generate and represent the visual data along with the preferences and transmits the visual data with preferences to the computing device (s) 102.
[0035] Fig. 2 depicts a method200of virtual interior designing, in accordance with an embodiment of the present subject matter. The method may be described in the general context of computer executable instructions. The method can be implemented in any software, hardware, firmware, or combination thereof. The method200comprises sequence of steps to be performed in the system 110.
[0036] At block 202,receiving, by receiving module 118, at least one spatial data of at least one floor plan from an user;
[0037] At block 202,transforming, by the transforming module 120, said spatial data into one or more visual design data corresponding to at least one user space and said one or more visual design data having a plurality of attributes of saidrepresenting at least one user space. The transforming may further comprise sequence of steps: i) searching a furnishing attribute from a database for each space depending on the usage of each space, ii) inserting said identified attributes that match the corresponding user space, iii) arranging the inserted attributes associated with the user space, iv) generating of visual data of said arranged attributes with corresponding user space, and v) optimizing, through the optimize module 124, time period said arranged attributes. In another embodiment, the method may comprise partitioning said spatial of floor plan into one or more user spaces including the above steps as mentioned in at block 206 followed the steps of methods as mentioned below.
[0038] At block 206, transmitting, by visual data transmitter 130, said generated visual design data to the corresponding user.
[0039] Fig. 3 depicts User device interface 300, in accordance with the embodiment of the present subject matter. This system of user interface300 involves the processing of user input. The user input block 310 receives the data from the user, the data will be processed through Artificial intelligence block 312. This artificial intelligence block 312comprising of an inference engine module, which estimates the cost of the design in real time and helps in producing affluent interior appearance. This Inference engine module also has the provision of taking user preferences, to arrange the design in a hierarchy according to user preferences. These preferences may be in terms of cost, color, placements of things, number doors or windows, percentage of sunlight, materials to be used in designing etc. So, on the basis of user preferences the design hierarchy will be set and multiple interior design modules will be generated, making it easier for the user to select according to their personal taste.
[0040] In an exemplary embodiment with respect to Fig.3, the user interface 300is showcasing three different interior designs for one given set of spatial data. The hierarchy is set with cost as a filter, where the three designs are arranged in order of most expensive to least expensive manner. That is, first kitchen design 314costs the maximum compared to second kitchen design 316. Third kitchen design 318is the least expensive design as estimated by the Artificial intelligence 312 module. By this hierarchy list, user will be able to decide the most optimum design.
[0041] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein. ,CLAIMS:We claim:
1. A method of virtual interior designing, the method comprising:
receiving at least one spatial data of atleast one floor plan from a user ;
transforming said spatial data into one or more visual design data corresponding to said at least one user space;
optimizing said visual design data according to the preferences of said user; and
transmitting said generated visual data to corresponding user

2. The method of claim 1, wherein said spatial data is received in the form of images captured using a smart phone.
3. The method of claim 1, wherein said transforming further comprising:
partitioning said spatial data into one or more user spaces;
searching atleast one furnishing attribute from a database for each said user space depending on the usage of each space;
inserting said identified furnishing attributes that match the corresponding user space;
arranging the inserted attributes associated with the user space; and
generating said arranged attributes as visual data.

4. The method of claim 1, wherein said optimizing further comprising
ranking said generated visual design data for each user space;
estimating a predetermined cost for said generated visual design data; and
displaying said generated visual design data and estimated cost to corresponding user.

5. The method of claim 1, wherein said spatial data includes at least one floor plan including size of at least one room , size of at least one door, and size of at least one window.

6. The method of claim 1, wherein said plurality of attributes may include a user’s lifestyle, budget, home or office accessories, home appliances, and visual colors.

7. The method of claim 1, wherein said user space may be a kitchen, a bed room, a dining hall, a store room, a living room, a play room, a fitness room, a porch or an office space.

8. The method of claim 1, wherein said generated visual design data may be of 2D or 3D visual object of said attributes in said user space.

9. An virtual interior designing system, the system comprising:
a processor; and
a memory for storing instructions and coupled to the processor,
an artificial intelligence module configured within said processor to-
receive at least one spatial data of floor plan from a user ;
transform said spatial data into one or more visual design data corresponding to at least one user space, wherein said one or more visual design data having a plurality of attributes of said at least one user space;
transmit said generated visual data to corresponding user;
an interactive user device configured to enable the user to optimize said visual data to change specific attributes; and
a server configured to provide real time installation prediction to said user based on said optimization.

10. The system of claim 9, wherein said processor is further adapted to,
rank said generated visual design data for each user space;
estimate a predetermined cost for said generated visual design data; and
display said generated visual design data and estimated cost to corresponding user.

11. The system of claim 9, wherein said artificial intelligence module further comprising:
an expert module coupled to a knowledge base directory configured to store virtual object of said attributes and said user space based on facts associated with rules; and
an inference module coupled with the knowledge base directory configured to -
automatically obtaining said virtual object of said attributes; and
automatically placing obtained virtual object of said attributes on said user space.