We were inspired by the idea of performing surgeries online in remote areas where there may be a limited amount of doctors or difficult access.
What it does
Remote Handy Craftsman uses a robotic hand that can be controlled by a motion sensor. The remote environment the hand is to be used in can be seen through an online web camera. Facial recognition and facial movement detection is used to effectively position the camera relative to the target.
How we built it
Challenges we ran into
Our project was full of challenges but we overcame all of them through hard work, collaboration, and innovative thinking. Connecting all the components was difficult as well as finding a solution for problems such as the detectable range of motion for facial recognition, phone rotation using Lego Mindstorms, and using a DragonBoard.
Accomplishments that we're proud of
Successfully being able to get the face detection to work and deploying all the components of our project using Microsoft Azure.
What we learned
We learned how to integrate IoT into our project, how to use Microsoft Azure, and how to use facial recognition APIs.
What's next for Remote Handy Craftsman
Improvements in connectivity and user interface.