Computer Vision and Deep Learning in Design – Applications and Overview

Computer Vision and Deep Learning in Design – Applications and Overview

Won’t it be exciting to have a computer to do all your calculations? Oh, it’s the work of old school calculators.

Once again, can you imagine computers possessing human-like vision and automating human tasks of identification?

It would save so much time!

So, are we progressing towards a future where computers replicate human vision systems too with a high level of accuracy? Let’s know that and some applications of Computer Vision in the Design industry.

Technology is innovating every day with a good intention to make human lives better. So, if you feel that technology is filling our pockets with unbelievable power, you are probably right. This power is fueled by the advancements in Computer Vision techniques.

Computer Vision has made it possible to automate tasks that were earlier done by human vision systems only. So, if you feel that computer vision can help humanity reach greater heights, let’s get to know what computer vision is.

What is Computer Vision?

Computer Vision deals with developing the artificial intelligence of computers and enables them to derive meaningful information from digital images, videos, and other visual inputs to take some actions or make decisions.

This field deals with automating computers to acquire high-level intelligence and attempt seeing the world as we humans see it, hence the name computer vision.

It can give a quantitative or symbolic output, like a decision, based upon pre-fed data from real-time videos by processing, analyzing, and recognizing the digital images.

We humans take the visual input through our eyes and recognize objects. Similarly, with computer vision, real-time data in the form of digital images and videos can be interpreted or translated to abstract an appropriate action.

This started in the late 1960s when full scene understanding was required to solve some real-world problems. This scientific field is aimed at empowering robots to extract information from real-world images or videos.

Computer vision aims to devise algorithms and theories that take real-time images or videos as input from different cameras or multidimensional data from 3D scanners to extract details and take actions based on them.

Why is Computer Vision important?

With the growing need to manage digital data, a computer with capabilities of sight or vision is crucial.

With more than 3 billion images being shared worldwide every day, the need to analyze them is becoming even greater.

Hence, the importance of computer vision is also increasing every passing day.

Recent developments and innovations in the field of computer vision have made it possible for computers to analyze visual inputs better and accurately, sometimes faster than humans. With increasing application in every industry, it’s going to be more important in future years to come.

What is Deep Learning?

Can you believe that a technology exists that enables computers to gather knowledge?

Yeah, you guessed it right.

Deep Learning is a technology that enables computer to gain knowledge and learn from their mistakes as we humans do. It comes under the field of machine learning which uses a dataset to come up with a decision.

Deep Learning’s significance lies in the capability it provides to the computers to learn from their own mistakes. With Deep Learning, the job of data scientists has become easier than before.

This is because the predictive analysis can be automated using Deep Learning which makes interpreting and analyzing data faster and easier.

Applications of Computer Vision and Deep Learning in Interior Design

Computer vision and deep learning have applications in many industries like medical sciences, surveillance, or retail. Today we are going to discuss their applications in the interior design industry. Designing a room involves establishing a common style and theme by keeping in mind the environmental and aesthetic aspects.

Moreover, color scheme and object positioning are the two most important factors in achieving a common theme.

Let’s discuss.

Computer vision can be used for the understanding a structural space on which a color scheme can be built.
  1. The selection of color scheme decides whether your room would feel warmer or cooler and influences its appearance.
  2. Due to color scheme selection being a tedious and time-consuming process, computer vision efficiently automates the whole process.
  3. The two main components of interior design lie in color assignment and object selection.
  4. It achieves this by deploying an effective object identification technique that uses advanced image segmentation and objects classification algorithms.
  5. This results in the development of color assignment schemes for different rooms.
Deep learning is used in design to understand preferred design patterns, artefacts, etc. and recommend it to a designer.
  1. Many deep learning algorithms help designers to place objects effectively based on their learning of positioning placement and understanding of design visuals.
  2. For example, a deep learning system can help a designer place a large landscape painting across from a window on an empty wall because it understands that natural lighting from the window can light up the painting effectively without the need for artificial spotlights.

Learn about Computer Vision and its applications to scale up.

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Design is an art and couldn’t be complete without a bit of the human element.

But with rapid technological advancements, we are progressing towards a future with endless possibilities, revolutionizing the representation of design and design thinking.

Companies such as Tooliqa, Exposit and Modsy are working towards bettering designs and experience combining computer vision with augmented reality.

Modern computer vision systems can efficiently analyze many historical patterns of interior design and come up with a completely new design for a particular home based on the owner’s preferences. Deep Learning, on the other hand, empowers computers to learn from their own mistakes.

Thus, we can integrate Deep Learning with computer vision systems to analyze and learn from previously rejected designs and try not to incorporate them in new design themes.

The possibilities computer vision and deep learning present are humongous and in future, we will witness AI making designing decisions for us to enhance and ease a designer's work.  

Read also: Computer Vision Applications in Design- A Tool in the Creative Arsenal

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

What are some of the applications of computer vision and deep learning in the interior design space?
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Interior Design has immense opportunities for implementing computer vision and deep learning. A structural area that serves as the foundation for a color scheme can be understood via computer vision. Design professionals employ deep learning to recognize favored design patterns, artefacts, etc. and promote them to other designers.

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