Machine Learning In Interior Design: Uncovering New Possibilities

Machine Learning In Interior Design: Uncovering New Possibilities

Artificial intelligence has become a global trend in the past few years, appearing long before the 21st century. Here, we are going to discuss the current and future impact of Artificial Intelligence and Machine learning on interior design.

Artificial intelligence deals with the synthetic intelligent behavior of computers and enhances the capability of the machine to imitate intelligent human behavior.

AI, Machine Learning and Deep Learning

Artificial intelligence initially appeared in the 1950s and it acts on the concept of an artificially created copy of human thinking by displaying human intellect. In the 2020s, a robot could plan and design the house just like a professional human designer. Early 1980’s machine learning started to boom.

Machine learning is the subset of AI, which deals with algorithm creation in a way that it can be modified by itself without human interference. And which in turn tries to produce desired results by using the structured data.

Machine learning becomes possible mainly due to big data which in turn has exposure to huge amounts of information from varied sectors.

In machine learning, a human is just needed to structure and label the data. Early 2010's advanced deep learning made AI boom among innovators. Deep learning on the other hand is a subset of machine learning which is capable of processing unstructured and unlabeled data.

What can Machine learning bring to the interior design field?

These technologies are often named “Narrow AI” have taken us to a completely new level. Computers became precise, an increase in the Graphics Processing Unit (GPU) performance helped people create software that is not only programmed to predict certain actions but also learn from its mistakes.

Computers are quickly developing the abilities to somewhat see, hear and learn. The future would get more modernized as technology grows further.

This ability cannot make machines act as a 100% replacement for human designers but can certainly help automate and simplify some key pieces in the process of interior design project delivery. Let's figure out how this AI technology will affect the multi-billion-dollar interior design industry in the future.

Speed up the work process

Technology will speed up the work process which includes automating measurements, virtual staging and creating multiple variations of the project through selection of pre-set colors and styles which can also be customized simply.

Additionally, the choice of furniture and the furnishing options becomes more flexible and convenient.

Some apps are made to recognize blueprints and convert them into a digital model, which later becomes a customized project.  

Use of LiDAR Technology

Technologies like LiDAR helps gain depth information and has better performance over technologies like stereo vision.

Having information on depth helps generate a digital twin of the objects and spaces by simply scanning them with devices having depth measurement ability.

This has a significant impact on interior design for helping people get a 3D virtual tour.

The other side of AI

The negative side of AI is that like any other industry which adapts automation. It accelerates the process but often reduces human effort.

Moreover, over the next five years, AI will affect most of the industry to reduce manpower who don't have the skillsets around these technologies and if a company is hesitant to change the old ways, new-age competition with redesigned business models will defeat them.

Digital assistant

In certain areas, a digital assistant packed with machine learning, or a deep learning stack can turn a rookie into an expert at affordable pricing.

Furthermore, it can recommend the best solution for a practical situation after processing through thousands or even millions of previous cases.

A practical example of ML usage

Let's review a few real-time cases of ML. Suppose you have a device that has a LiDAR sensor in it. If you scan your room, it can potentially generate a digital twin within a few seconds.

The replicated model can then be designed by adding furniture and other artefacts from a library of 3-D digital assets.

Advanced technologies are enabling human designers with the great efficiency thus making a big impact on industries like Interior design.

This manual work can be simplified by a computer program loaded with some powerful sensors. It will recommend a variety of finished designs with some furnishing and designed in different color schemes with space for customization.

Add to it the capability of learning and self-improvement for making the system better ahead.

The most beneficial thing about working with human designers is their ability to make unique decisions once they acquire more knowledge of their clients. ML achieves this result with better software created using deep learning.

Pre-fed info on design settings and customized configurations around style & accents can potentially help create the ideal design variant. Machine learning technologies build on the generated data around creating custom designs for more users.

ML In Interior Design

The lowered barrier to entry forces the industries to choose the best ML-powered solutions for their business.

Companies like Tooliqa are creating breakthrough ML-powered products to make interior design solutions easier and more streamlined.

Moreover, interior design has more potential for growth with these technological integrations.

Machine learning is not used as a replacement for human thinking or problem-solving. Instead, it is used as an accelerator for handling certain things at which computers are good.

Consider the planner 5D app which uses Machine learning algorithms to analyze approximately more than 40 million projects from real users.

This app processes the design aspects like the average square foot taken by a single person and the standard width of the doors or windows.

In addition, based on these calculations, it recommends well-organized designs for the designers. Presently only professional designers are aware of design rules and techniques for modelling.

Such a product can potentially empower everyone to be aware of interior design that combines ML with virtual reality to build a better-customized design model.

Here, ML can act as a tool to create attractive designs based on the client requirements according to the project parameters.  

ML is the future of home design

Technology is evolving day by day. Things that were considered impossible 10 years ago have become a reality today.

ML in interior and home designs is going to be easy and pleasant with just a few clicks. The upcoming home design apps will enhance its usage unlock new experiences for the end-users and maybe even expand the base to make it more inclusive.

Tooliqa specializes in AI, Computer Vision and Deep Technology to help businesses simplify and automate their processes with our strong team of experts across various domains.

Want to know more on how AI can result in business process improvement? Let our experts guide you.

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Quick queries for this insight

How will Machine Learning enhance Interior Design?
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Machine learning can be used to generate 3D models of rooms, furniture, and accessories. This makes it easier to visualize how a space will look before any work is actually done. In addition, machine learning can be used to create virtual reality simulations of rooms. This allows designers to experiment with different looks without having to physically build anything. Ultimately, machine learning will allow designers to create experiences that are more immersive and realistic than ever before.

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