Skyrocket your real estate portal with computer vision and image recognition
23 June 2020 | 5min read
One of the most popular features within Artificial Intelligence is computer vision. The reason for this success is the great diversity of the markets: medical, transport, industry, and more.
In this article, I will explain more about the growing market for computer vision in real estate.
We live in a world of rapid technological changes. Having computer vision applications is no longer an option. The computer vision market is expected to reach over 33 billion US dollars by 2025, according to Omdia.
The real estate industry is no exception to this. The technology is being used for algorithms that identify and categorize different real estate related images.
How beneficial AI-based computer vision technology or image recognition for real estate?
You will read about the next topics:
- Image recognition vs computer vision
- 3 benefits of computer vision for online real estate
- Computer vision in real estate use cases
Image recognition vs computer vision
First things first. Image recognition and computer vision are terms that are often used synonymously but they mean something different.
A short and easy explanation:
Computer vision is like the part of the human brain that processes the information received by the eyes – not the eyes themselves.
Image recognition gives a computer the ability to interpret the input received through computer vision and categorize what it ‘sees.’
3 benefits of computer vision for online real estate
Here are 3 benefits of computer vision for the online real estate industry:
Increase the organic real in Google through long-tail targetting.
Instead of typing “New York, three-bedroom apartment”, prospects are saying something like “Three-bedroom apartment New York child-friendly with Central Park view”. They expect to get a specific page with only the listings that contain all keywords.
With AI-based computer vision technology, that becomes a reality by utilizing real estate room detection. Having thousands of custom listings pages, optimized for specific keywords can dramatically increase the visibility on Google.
Improve search engine results
The search engine results on the real estate portal itself can be improved with image metadata. You can avoid writing all those tags and image descriptions. The more accurate and in-depth metadata, the better and more complete the search engine results will be.
You can give your visitors the possibility to do a search based on more keywords such as “balcony”, “fireplace”, “garden”, “renovated bathroom” and more.
Searching on more keywords is something Zoopla was already doing back in 2010.
Duplicate listings or duplicate images can decrease the user experience and quality of your real estate portal. Having a team set up to do all of this manually can be quite a hassle if there are thousands of listings. Image recognition enables you to find duplicate listings and duplicate images in a certain listing by the power of Artificial Intelligence.
Computer vision real estate use cases
Real estate room detection
Understanding the type of a given photo can be incredibly valuable, particularly in this age of automation. The big volume and turnover of pictures on real estate portals make it impossible to do this manually.
Knowing if a picture is tagged as front yard, kitchen or bathroom can be the difference between amazing user experience and complete confusion. Computer vision enables you to automatically classify rooms such as bedroom, bathroom, backyard, front yard, living room, and kitchen.
Having this information, you could for example automatically make sure the first picture of a property is always the front yard. The possibilities are endless.
Real estate image object detection
Beyond the type of a given picture, there is even more value in the details of a picture. Computer vision for real estate makes it possible to identify features in a picture such as daylight, fireplace, hardwood floors, and more. This information could be translated into specific keywords to improve the searchable metadata.
Real estate room condition analysis
Rooms such as kitchens or bathrooms can be in a new state but can also be in a ‘to be renovated’ state. Detecting the condition of certain rooms is perfect to source ideal properties for renovation or narrow down lists of comparables.
Another possibility is to show advertisements for kitchen renovations on properties that have a kitchen that needs to be renovated.
With thousands of listings, standing out from competitors has become harder for real estate businesses. Excellent user experience has become more important than ever before. Computer vision for real estate portals can provide an amazing and seamless buying experience.
We, at Co-libry, create solutions based on AI and data. Request a free demo today and see for yourself how computer vision can improve your business.
Chatbots are becoming very important parts of our lives. Right from Facebook Messenger, to Skype to phones – we talk and interact with them more than ever before. In this article, we will go through the 5 main reasons why every real estate portal should have a chatbot.
Jasmine is a communications student and Atef is a marketing student. They have been working with us for 4 weeks now, so we decided to ask them some questions about how they are experiencing their internship so far.
Due to technological improvements, the real estate industry is changing. We were wondering what impact the Covid-19 crisis had on these changes. We spoke with several experts in the real estate sector over the world to get some insights into this topic.