The global market value for computer vision is about $12 billion today. By 2028, that number is expected to increase to more than $20 billion. In other words, this industry is poised to almost double in value over just the next several years!
So what exactly is driving the explosive adoption of computer vision? There is a long list of computer vision applications that can enhance the success of almost every industry in the marketplace. On top of that, there are computer vision applications that can improve marketing, even if companies don’t have any use for computer vision on the production side.
So what are the applications of computer vision for marketing and what can they do for your business? Read on to learn all about how this exciting new technology can improve the success of your marketing strategy!
Allow Customers to Use Visual Traits to Sort Products
Many people ask, what is computer vision? Sometimes, the easiest way to understand computer vision projects is to see how they are applied.
When people are looking for a specific item on a company website, they generally use the search function. The filter can also help them to narrow their search based on various traits of the product.
Before computer vision, they could not use the image of a product to help find it or similar products. However, visual search can now allow anybody who has an image of their product to find it instantly on the website.
Not only is this an upgrade over past technology, but it is also a potential replacement. A single visual search function can save back-end software developers a lot of time making a filter function. This has great relevance to retail, CPG, and the e-commerce industry.
This can also help diminish the gap between experienced and inexperienced shoppers. Some professionals make their living from an encyclopedic knowledge of brands. With a visual search function, every customer can search with the efficiency of an expert.
This can also help when choosing aesthetic products. Computer vision companies can provide the ability to show products that may be functionally different but aesthetically similar. That means that you can recommend pairings of products that may look good together.
Let Customers Use Computer Vision Technology to Look Up Products
You can apply much of the same technology to real-world objects. Instead of having an image that people can use to search on a website, they can simply take a photo of an actual object.
Imagine a customer takes a picture of a pair of shoes. The customer may not know very much about the shoes, but the computer can keep track of all kinds of information. Running an image of the shoes through a visual search function can provide the customer with the brand, style, product number, and other information about the product.
Although this has been somewhat possible before, it is now more advanced. Technological breakthroughs like Faster RCNN and Inception have increased the power of computer vision.
Use Computer Data
Hashtags were a powerful advancement in technology. They helped people to narrow down what they wanted to look at. The problem with hashtags is that you had to know the exact words and spellings to use.
Computer vision searching allows people to attain the next level up on this technology. You can find communities talking about anything and all you need to do is give the computer an image of the thing. That means that you don’t need to know any of the common words in a community to connect to it.
We may very soon live in a world where whenever you are interested in an object you see, you can simply take a picture of it and find out what communities exist that are interested in items like it. You might take a picture of a tree and find people interested in nature. Or you could take a picture of art and find all the communities that you can connect to that like the same art.
Given the choice, most people prefer personalized ads over random ads. In the past, ads have only been able to be personalized according to text and metadata. That was good, but it gave an incomplete picture of people’s interests.
Now computer vision allows algorithms to understand more about people by looking at the images that they put up or look at on social media. This can help people to receive personalized ads that are much more likely to match their interests.
Track Behavioral Patterns
Computer vision also allows people to track subtle patterns in behavior. For example, computer vision can keep track of where people tend to go in physical stores. If most people tend to go to a certain spot, then a business can decide that that is the spot where they want to put their best products.
Computer vision can use applications like YOLO to monitor the products and prices of products on a given shelf. That information can then be fed into an algorithm that outputs instructions. Those instructions can then tell workers when to reshelf products or adjust prices for maximum efficiency.
Enjoy All of the Benefits of Computer Vision Applications for Marketing
We hope that you were able to take away something helpful from this brief article on a few of the computer vision applications for marketing. Every time there is a big change in the technological landscape, it is the businesses that adapt the fastest that enjoy the fastest growth.
It can feel daunting at first to try to figure out how to apply computer vision to your marketing strategy. However, it is more than worth taking the time and effort to do so. Learning to use cutting-edge technological applications for your marketing program is an investment that will pay off for months and years to come.
To learn more about how you can use computer vision, data, and more to enhance your marketing success, feel free to reach out and get in touch with us here at any time!