US 11,771,340 B2
Detection of medically related events at a point of sale
Darran Michael Handshaw, Sound Beach, NY (US); Yuri Astvatsaturov, Lake Forest, IL (US); and Edward Barkan, Miller Place, NY (US)
Assigned to Zebra Technologies Corporation, Lincolnshire, IL (US)
Filed by ZEBRA TECHNOLOGIES CORPORATION, Lincolnshire, IL (US)
Filed on Sep. 29, 2020, as Appl. No. 17/36,324.
Prior Publication US 2022/0095951 A1, Mar. 31, 2022
Int. Cl. A61B 5/08 (2006.01); A61L 2/10 (2006.01); G06T 7/00 (2017.01); G07G 1/01 (2006.01); A61L 2/22 (2006.01); A61B 5/00 (2006.01)
CPC A61B 5/0823 (2013.01) [A61B 5/0077 (2013.01); A61B 5/4803 (2013.01); A61B 5/7285 (2013.01); A61L 2/10 (2013.01); A61L 2/22 (2013.01); G06T 7/0012 (2013.01); G07G 1/01 (2013.01); A61L 2202/25 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A method, comprising:
capturing, by an image sensor associated with a checkout workstation, one or more images;
analyzing, by one or more processors, the images captured by the image sensor associated with the checkout workstation, to detect an indication that one or more droplets associated with a sneeze or cough are present upon one or more equipment associated with the checkout workstation; and
triggering, by the one or more processors, a disinfection of the checkout workstation responsive to detecting the indication that the one or more droplets associated with the sneeze or cough are present upon the one or more equipment associated with the checkout workstation.