Data analysis for computer vision project

Glüxkind leverages AI to build the world's smartest baby stroller that solves new parents' mobility challenges and accelerates pedestrian autonomy. We are combining AI, Computer vision and robotics to create a pedestrian robotics platform. In order to be able to apply artificial intelligence to computer vision data, large data sets are required to train the machine learning and path planning algorithms. The project is intended to help grow the data base of vision data. The students will also have the chance to get unique insights into this innovative technology and various areas of software development ranging from computer vision, artificial intelligence, machine learning, robotics control, path planning to classing web & app development.