Abstract:
Each year, we lose many lives due to forcing humans to function in hazardous places.
In this project, we will focus on providing an alternative to putting human lives at risk. In
essence, we propose an embedded system for hand gesture based control of a robot
system.
Our system utilizes deep learning and computer vision algorithms for real-time hand
gestures detection in order to achieve a more natural approach of controlling robotic
systems, which will help minimize the distance between the digital world and the
physical world.
In this project, we designed, implemented, and trained an intelligent small-scale
gestures controlled car. The system was able to achieve great dynamic gesture
detection as it was tested with different people’s hands.
