US 12,130,890 B2
Construction site defect and hazard detection using artificial intelligence
Denis Wohlfeld, Ludwigsburg (DE); and Evelyn Schmitz, Korntal-Münchingen (DE)
Assigned to FARO Technologies, Inc., Lake Mary, FL (US)
Filed by FARO Technologies, Inc., Lake Mary, FL (US)
Filed on Jun. 16, 2023, as Appl. No. 18/336,872.
Application 18/336,872 is a continuation of application No. 17/152,494, filed on Jan. 19, 2021, granted, now 11,714,878.
Claims priority of provisional application 62/966,595, filed on Jan. 28, 2020.
Prior Publication US 2024/0126839 A1, Apr. 18, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 18/214 (2023.01); G06N 3/08 (2023.01); G01B 11/00 (2006.01); G01B 11/24 (2006.01); G01C 3/00 (2006.01)
CPC G06F 18/2155 (2023.01) [G06N 3/08 (2013.01); G01B 11/002 (2013.01); G01B 11/24 (2013.01); G01C 3/00 (2013.01)] 19 Claims
OG exemplary drawing
 
11. A system comprising:
at least one processor for executing computer readable instructions, the computer readable instructions controlling the at least one processor to perform operations comprising:
receiving video stream data of at least a portion of the environment, the video stream data captured by a vision based sensor;
applying image recognition to video stream data of the environment to identify and label a defect or hazard in the video stream data, wherein the image recognition is based at least in part on a neural network;
correlating a location of the defect or hazard in the video stream data with a corresponding location in a two-dimensional (2D) map of the environment; and
recording the location of the defect or hazard in the 2D map.