What if It’s Both a Person and an Object?
You might think of this scenario as the chicken and the egg question. Well, in this situation, we can clearly say that if it’s a choice between notifying of a pedestrian or an object first, the pedestrian wins. There are many times where both will be present, especially when the worker is in front of, on the side of or behind boxes.
This is where pedestrian partial detection comes in. This is critical as this is where the proximity camera detects part of the human body from behind an object. It certainly is very feasible that a worker is on all fours, reaching in to stack product and part of their legs are sticking out. We identify it.
Or if the worker is getting up off the floor from behind the boxes and it starts with the arm, moving to the top of the head. We identify it again.
Partial human detection can be captured with the forklift detection sensors. That’s why it is vital that the pedestrian presence sensors communicate what it sees so the machine learning technology can report the presence of a human being first, and the object second.