Virtual Try On – A Tap & Try Virtual Shopping Experience

Virtual Try On – A tap and try virtual shopping experience



Key features
The Virtual Try On project turned into a robust AI-powered virtual try on with these key features.


Solution
We started our journey with a laser focus on what we had to deliver. Starting from training the face detector and facial landmark detector, we wanted to achieve a seamless virtual experience in which a person could try on any product without any delay in augmentation.
We use advanced computer vision and deep learning algorithms to segment parts of the human body. These segmented parts were projected in a virtual space, processed and then cast back to the actual space of the webcam.
The geniuses at RevolveAI worked round the clock to train the State Of The Art ML model on large amounts of data and achieved a fully functional AI system that was fast, reliable and robust.
Solution
We started our journey with a laser focus on what we had to deliver. Starting from training the face detector and facial landmark detector, we wanted to achieve a seamless virtual experience in which a person could try on any product without any delay in augmentation.
We use advanced computer vision and deep learning algorithms to segment parts of the human body. These segmented parts were projected in a virtual space, processed and then cast back to the actual space of the webcam.
The geniuses at RevolveAI worked round the clock to train the State Of The Art ML model on large amounts of data and achieved a fully functional AI system that was fast, reliable and robust.



Challenges
In our quest to project completion, we had to work around the following challenges:
Data gathering, labeling & augmentation
There was initially insufficient data available to train our solution model. The data also needed to be diverse. So, we processed millions of images, using various open-source databases and trained our AI model on that.
We used data augmentation techniques to address the need for diversity by taking in account different backgrounds, lighting conditions, invariant poses, etc.
Technologies used






Get in Touch With Us
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support@revolveai.com