Image Recognition is one of the technologies with more widespread use. Many different industries have been adopting it for different purposes. One of them is visual search, that connects images with digital content. The use cases of image recognition are endless.
Searching Products With an Image
On how many occasions did you have a hard time trying to find the right keywords to find a product online?
Over the past couple of years, visual search has become the holy grail of retail. Not only it lets customers find products without typing any word, which is already amazing, but it also saves you a lot of time trying to find the exact product you were looking for.
Of course, this has deeply affected fashion eCommerce sites, but it’s not the only industry starting to adopt it.
Some other examples are online marketplaces for wine and beverages like Vivino, Cellar Tracker or Delectable, who use image recognition and optical character recognition to let users browse for products with a picture.
Facilitating Storytelling for Educational Purposes
Remember that boring teacher at school that made learning seem so tedious? Or those museum visits that were all about long abstract explanations? Well, Image Recognition can put an end to that.
From books to museum artworks, anything can be connected to digital content with Image Recognition. For digital natives, it’s all about the visuals. Link paintings to videos, add Augmented Reality to your books. Everything starts with a simple scan!
One very good example of this is the Hirshhorn Museum, that launched the Hirshhorn Eye App, an image recognition-powered video guide that shows you around the museum, and educates you on the artworks.
Creating In-Store Experiences
Back in 2016, in-store experiences were a novelty. Very few retailers dared to venture themselves into something like that.
Nowadays, almost every retailer has tried to integrate some kind of technology into their shopping experience in physical stores. From self-service digital kiosks to beacons technology, interactive “magic mirrors”, or tech-powered pop-up stores, digital strategies have been implemented as a means to keep attracting consumers to brick-and-mortar stores.
Image Recognition has also made its way among these technologies, with applications such as scan and go, that lets users scan the products they want to buy at the store and directly pay with their phones.
Another well-established use case is interactive store signage, which enhances the shopping experience by educating shoppers or providing them exclusive promotions or discounts in a snap.
Powering AR Experiences
That is why AR experiences rely on Image Recognition to detect the trigger and track the position of objects. This can be applied to many different industries and use cases.
For instance, the Macallan AR experience lets consumers learn more about the fermentation process of a whiskey and what to combine it with. Or the latest AR product experience of Jack Daniel’s, that includes stories about the whiskey’s brand owner, how they distill it, and a tour around its Lynchburg headquarters in Tennessee.
Of course, there are many, many other use cases of image recognition. These are just some of them. But what is clear is that it is the perfect strategy for companies to create experiences to connect with the end-users, enhance their experience, and help them learn more about a specific subject or product.