Detection of moving and static “obstacles and people” in the factory space, in order to avoid potential collisions between people and robots, is a major issue to tackle.
The planned solution for the detection of people is to use a combination of:
– Fixed monocular cameras: should be placed in high places, in order to cover the entire room without blind areas (in Figure 1 see an example of it).
– Software analyzing in near real-time, the footage of these cameras to detect people and object static in movement. In the case of movement, we want to make the prediction of the next movements.
 Zhu, Jun-Yan, et al. “Unpaired image-to-image translation using cycle-consistent adversarial networks.” Proceedings of the IEEE international conference on computer vision. 2017.