With the theme being improving the quality of life, we look to people who require aid such as the deaf.
We built a project involving machine learning and computer vision that recognizes facial detection and built another project to move the fingers of a robotic hand to make communication easier with the deaf.
Challenges included time constraints that prevented developing a tensor flow model and a hand recognition model.
We were able to get facial recognition working on a Raspberry Pi 3 board using the AlwaysAI model. We were also able to fully assemble a 3D-printed moving hand and connected it to the Pi as well.
Modifying and building upon AlwaysAI models is a challenging endeavor.
We hope to continue developing our tensor flow models and training algorithms to develop a well made hand recognition model.
Built With
- 3dprinting
- alwaysai
- python
- raspberry-pi
- servos

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