Furniture Simulator Using Augmented Reality
Keywords:augmented reality, AR camera, furniture, online purchasing, objects
Now-a-days information and communication generation help the improvement of human interplay with bodily, computer and virtual environments including science, commercial, banking, education, and many others. Augmented fact is a field of pc studies which offers a combination of reality with computer related records. If customers need to shop for furnishings objects without traveling to the stores it becomes possible, but it is now not possible to test how the item looks in a home environment. In this paper, a gadget which facilitates the consumer to shop for the fixtures items by means of sitting inside the home without visiting the stores is provided. The foremost cause of the “Furniture Simulator Using Augmented Reality” is to develop an Android software for attempting one-of-a-kind furnishings in virtual manner the usage of a cell which helps AR cameras. The software will put off the human efforts through physically visiting the fixtures store which is a very time-consuming pastime. Besides this, it might be simpler to use this technique in Online purchasing as an option for users to try out the furnishing's objects in their room. This will permit the person to visualize the room, how it will appear after putting fixtures in it. Users can strive out multiple combos actually, without physical motion of furniture gadgets. Our motivation here is to grow the time performance and enhance the accessibility of furniture via growing an Augmented Reality application. This device will help the consumer to view the furniture item absolutely in real surroundings earlier than shopping for the object. The purchaser can recognize how his home is structured after putting the object in a suitable region. This machine would let the consumer try a couple of mixtures of items truly without physical movement of fixtures objects. These will help the buyer to decide how to set up fixtures in home shape.
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Copyright (c) 2022 M. Deva Kalyan Reddy, G. Suthir, D. Navin, P. Shenbagam
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