In the field of robotics, there is a growing trend towards the automation of mechanisms and tasks, reflecting a dynamic shift towards increased efficiency and productivity, with artificial intelligence playing a crucial role. This thesis project explores various use cases and projects conducted on Boston Dynamics' four-legged robot Spot, focusing on the integration of computer vision algorithms, enabling Spot to achieve remarkable level of self-awareness of the environment and improving its capacity to collaborate with humans. This thesis presents different neural networks aimed at enhancing Spot capabilities in industrial context, where it is thought to be used. Firstly, a face recognition algorithm is used to detect faces, which are then anonymized to protect workers' privacy.