Machine Vision & Deep Learning
Real-time recognition of all of hand. body and face with various sensors including RGB camera and depth sensor is crucial for machine to read sign language. With patented augmented training data set based on various neural network technologies, we believe the full recognition of sign language possible in near future.
Augemented & Mixed Reality
For the removal of the deaf's barriers to working and communication environment, we believes that augmented reality technology will contribute a lot. you can imagine a avatar sign language translator beside your speaking colleagues to translate the colleagues' verbal