Training these AI programmes took a lot of time and effort. BlazePalm was forced to initially be trained on recognising palms rather than hands as hands are much harder to detect. This is because of the huge range of movements the fingers can produce. Only after was the BlazePalm team able to add finger detection to the AI. In addition, the hand landmark model had to be trained using over 30,000 real images of hands that were manually labelled. In order to train the AI to distinguish between hands and their background, the algorithm was also developed using highly detailed synthetic hand models pictured over a range of backgrounds and labelled with coordinates.
The artificial intelligence algorithms are so powerful, that Google has claimed they can identify up to 21 different 3D points on a hand from just one image on a mobile phone.
To find out more, visit google’s blog post.
Thumbnail source: signlanguagemaster.com
