Facebook’s parent-company Meta created The DINO system (Distillation of Knowledge with no labels). What’s unique about this AI technology is that it is capable of learning to find out objects of interests in videos of people or animals quite well without any labeled data. This is happening because of computer science program called Computer Vision.
What is Computer Vision?
Computer Vision is an aspect of AI that enables computers and machines to derive meaningful information digitally, including from videos, images and other visual inputs. It helps them take action basis that information. While the AI enables machines to think, Computer Vision helps computers and machines to see, observe and understand. With the help of Computer Vision, marketing campaigns can be targeted in a very precise and specific manner. Highlighting some examples of using Computer Vision below-
Emotional Valuation
Emotions have been shown to have a deep effect on consumer’s purchasing psyche. Marketers in the future will be able to capture the purchasing needs of a person basis their emotions. The emotional analysis will be done through Affective Computing. Affective Computing brings computer science, psychology and cognitive science under one umbrella. It then gives results on algos related to these three fields.
Using Computer Vision for Social Media Marketing
More than half of the internet users are on social media now and the amount of data generated by these users is vast and exhaustive. Social Media apps like Facebook and Twitter, which have humongous teams to moderate the data, sometimes find it difficult to trace all the available content. Computer Vision plays a vital role in such scenarios. It can be deployed to not only monitor what all the users are posting, but also to gather data for user analysis. It can provide real time data to marketers that are constantly trying to predict user behavior. Facebook’s DINO is used for the same purpose.
Social Listening with the help of Computer Vision
With the help of Computer Vision, marketers will be able to sift through bundles of material within seconds. This will help them in forecasting the trends and also allow them to listen to the noise their brand is creating with both good and bad reviews being tracked. Not only their own brand, but marketers will be able to track their competitors’ performance through object recognition capability of computer vision.
The future of this world has been envisioned with different versions of AI taking over each and every aspect of our daily working lives. And even as our lives go on, AI is slowly making its place in our world without us noticing much. Programs such as The DINO system can engage and grasp knowledge in a matter of seconds thereby decreasing both time and cost for big brands.
But it’s easier said than done. Computer Vision Technology is still light years away from actually being implemented across the platforms. Big brands are wary of adapting to it as it may cause data management issues. While DINO may have highlighted something revolutionary, machines still see numbers more clearly than images or objects and video computation is still quite challenging because marketers would still need the whole story after they have identified a product in a particular video. But there is hope and the world around us is changing fast.
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