US 12,433,534 B2
Systems and methods for detecting impairment based upon facial image
Ric Miller, Boulder, CO (US)
Assigned to BI Incorporated, Boulder, CO (US)
Filed by BI Incorporated, Boulder, CO (US)
Filed on May 23, 2023, as Appl. No. 18/201,066.
Claims priority of provisional application 63/393,519, filed on Jul. 29, 2022.
Claims priority of provisional application 63/393,498, filed on Jul. 29, 2022.
Claims priority of provisional application 63/393,505, filed on Jul. 29, 2022.
Claims priority of provisional application 63/393,513, filed on Jul. 29, 2022.
Claims priority of provisional application 63/389,258, filed on Jul. 14, 2022.
Claims priority of provisional application 63/349,496, filed on Jun. 6, 2022.
Prior Publication US 2023/0394876 A1, Dec. 7, 2023
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/08 (2006.01); A61B 5/097 (2006.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/16 (2022.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G10L 25/51 (2013.01); G16H 40/67 (2018.01); A61B 10/00 (2006.01)
CPC A61B 5/4845 (2013.01) [A61B 5/0077 (2013.01); A61B 5/082 (2013.01); A61B 5/097 (2013.01); A61B 5/11 (2013.01); A61B 5/4803 (2013.01); A61B 5/4833 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/44 (2022.01); G06V 20/52 (2022.01); G06V 40/172 (2022.01); G10L 15/063 (2013.01); G10L 15/22 (2013.01); G10L 25/51 (2013.01); G16H 40/67 (2018.01); A61B 2010/0087 (2013.01); A61B 2562/0204 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for detecting drug or alcohol impairment based upon facial image, the system comprising:
a camera configured to capture a static facial image of an individual;
one or more processors;
a non-transient computer readable medium coupled to the one or more processors, and having stored therein instructions which when executed by the one or more processors, causes the one or more processors to:
receive the static facial image of the individual from the camera;
apply a facial image impairment model to the static facial image to yield a probability that the individual is drug or alcohol impaired;
indicate a likelihood of impairment based at least in part on a determination that the probability exceeds a first threshold;
indicate no impairment when the probability is less than a second threshold;
apply an anomaly detection model to the static facial image to yield an anomaly output corresponding to the individual; and
wherein the likelihood of impairment is indicated when both the anomaly output indicates that the static facial image is an anomaly for the individual and the probability exceeds the first threshold.