US 11,704,784 B2
Systems and methods for artificial intelligence (AI) ergonomic positioning
Tyler S. Bobert, Afton, MN (US); Christian P. Grant, St. Paul, MN (US); Matthew M. Hafele, East Hampton, CT (US); Nadia H. Magnuson, St. Paul, MN (US); and Richard N. Marsh, Hartford, CT (US)
Assigned to The Travelers Indemnity Company, Hartford, CT (US)
Filed by The Travelers Indemnity Company, Hartford, CT (US)
Filed on Sep. 30, 2021, as Appl. No. 17/490,295.
Prior Publication US 2023/0099570 A1, Mar. 30, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06T 7/20 (2017.01); G06F 3/01 (2006.01); G06Q 10/0635 (2023.01); G06N 5/04 (2023.01); G06T 11/00 (2006.01); G06F 18/24 (2023.01); G06V 20/52 (2022.01)
CPC G06T 7/0002 (2013.01) [G06F 3/011 (2013.01); G06F 3/016 (2013.01); G06F 18/24 (2023.01); G06F 18/24765 (2023.01); G06N 5/04 (2013.01); G06Q 10/0635 (2013.01); G06T 7/20 (2013.01); G06T 7/73 (2017.01); G06T 11/00 (2013.01); G06V 20/52 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for Artificial Intelligence (AI) ergonomic assessment, comprising:
an electronic processing device; and
a non-transitory computer readable memory device in communication with the electronic processing device, the non-transitory computer readable memory device storing (i) ergonomic distance rules and (ii) AI ergonomic assessment instructions that, when executed by the electronic processing device, result in:
receiving, by the electronic processing device, at least one image descriptive of a work area;
identifying, by the electronic processing device and from the at least one image, a plurality of non-human objects within the work area;
classifying, by the electronic processing device, each of the identified non-human objects from the plurality of non-human objects;
computing, by the electronic processing device, an initial location for each of the identified non-human objects from the plurality of non-human objects;
measuring, by the electronic processing device and based on the initial locations of the identified non-human objects from the plurality of non-human objects, a distance between a first one of the non-human objects and a second one of the non-human objects;
identifying, by the electronic processing device and based on an analysis of the measured distance with respect to the stored ergonomic distance rules, that the first one of the non-human objects is not properly positioned;
identifying, by the electronic processing device and based on an execution of the stored ergonomic distance rules, a target location for the first one of the non-human objects;
outputting, by the electronic processing device, an indication of the target location for the first one of the non-human objects;
tracking, by the electronic processing device, a movement of the first one of the non-human objects from the initial location to a new location;
identifying, by the electronic processing device and based on a comparison of the target location and the new location for the first one of the non-human objects, that the new location for the first one of the non-human objects falls within the target location; and
outputting, by the electronic processing device, an indication that the first one of the non-human objects is properly positioned.