This document summarizes an approach for adapting a collaborative robot (cobot) workstation to human operators with different skills using a deep learning camera. The approach uses a camera and deep learning to recognize human operators and access their profile, which contains data like preferred speed. This profile is then used to adapt the robot's speed and behavior to the specific operator. The approach was implemented using an ABB YuMi cobot, Amazon DeepLens camera, AWS cloud services for facial recognition and data storage, and tested for accuracy and speed of recognition and adaptation. The results showed over 100% accuracy in operator recognition with average adaptation times of 12 seconds.