Tagless detection identifies people near a forklift without requiring them to wear anything, usually through cameras running computer vision models that classify a shape in the image as a person.
Tagless systems mount one or more cameras on the truck, often facing the direction of travel and the rear, and run a model that separates people from racking, pallets and other trucks. The main advantage is coverage: visitors, drivers from other companies and anyone who forgot a tag are still seen. Because the system knows the object is a person, it can also ignore objects that would trigger a simple proximity sensor.
The limits are those of a camera. It sees only what is in line of sight, so a person behind a rack end or a load is invisible until they step out. Glare, darkness, steam, dust and dirty lenses reduce performance, and partly hidden or crouching people are harder to classify. Tagless detection also records images, which raises privacy and data retention questions. Test it on your own floor, with your lighting and clothing, before relying on it. The camera pedestrian detection page covers what to check in a pilot.