Ensuring the safe and reliable operation of industrial robots requires effective monitoring systems capable of detecting abnormal situations within robotic workspaces. In the context of industry 4.0, computer vision techniques offer promising solutions for real-time supervision of industrial environments. This study proposes a vision-based monitoring framework designed to detect the position of an industrial robot relative to predefined operating and restricted zones. A custom dataset was create