Banuba's technology enables hand tracking and gesture recognition for human-computer interaction. Real-time tracking of hand movements will be crucial in AR headsets, allowing the user to control and interact with digital elements in their virtual environment.

Our 3D hand tracking works by training a neural network on a synthetic dataset specifically configured to segment images into at least two classes, which may include human hands and background. Once a hand is located using our algorithm, a second machine learning network tracks key hand points, including fingers, fingertips, palm and wrist, to estimate position and posture in real time. AR elements such as a virtual doll, using masks and filters, can then be merged with Banuba's 3D hand tracking.

Websites: https://www.banuba.com/
Medium: https://medium.com/@banuba
Facebook: https://www.facebook.com/banubadevelo…
Twitter: https://twitter.com/banubafacear

Please take the opportunity to connect and share this video with your friends and family if you find it useful.