Why I love mixing AI & AR ?
It’s in year 2016, when i was introduced to AR by a friend from college. Back in those days AR Seems to be a costly piece of tech, I always wonder how AR is gonna gain value in market. We used vuforia those days for image detection and placing objects and used to think the tech behind that. Then i moved on with IOS Development making apps for all Apple products.
After 2 years i thought of looking back on tech that i admired the most. In these years i trained myself in mobile app development, computer vision and data analysis worked on several products those are now deployed in market. Now when i moved back to AR i got a feel like its still the costly tech what i thought in 2018. Companies like SnapChat, Facebook are trying their best in market to give AR to everyone still some use cases needed costly pieces of tech.
Also on other hand AI had a massive reach and there are lots of wonderful Data scientists making things cooler than i thought is achievable in a short span. Greater tech companies started mixing AI with AR trying the other way around to produce a seamless transition of products.
Unity now is using AI in game development for making the experience more realistic and competitive for the gamer. We (AR Developers) are trying similar ideas into AR making things those are not achievable via low cost mobile phones. Replacing trained models in place of lIDAR and high end cameras to achieve same effective in AR.
Though there are complication but we know the advancement in AI is taking a peak, this could be a great start. Writing this blog because i found something useful in my recent learnings. We can use trained models instead of using iphone 12pro OR Arkit4 to achieve greater things. Even there are lots of other use cases. In my upcoming article I’ll be sharing some implementations and my Github project in my next blog. It’s still in Beta & will be available to public eyes soon .
