US 12,217,538 B2
Automomous validation of proper mask wearing
Ran Vardimon, Tel Aviv (IL); Yarden Yaniv, Tel Aviv (IL); Matan Noga, Tel Aviv (IL); Gadi Piran, Upper Saddle River, NJ (US); and Kirill Dyagilev, Jersey City, NJ (US)
Assigned to CORSIGHT.AI, Tel Aviv (IL)
Filed by CORSIGHT.AI, Tel Aviv (IL)
Filed on Jul. 19, 2021, as Appl. No. 17/380,004.
Claims priority of provisional application 62/705,869, filed on Jul. 19, 2020.
Prior Publication US 2022/0019766 A1, Jan. 20, 2022
Int. Cl. G06V 40/16 (2022.01); G06N 3/08 (2023.01); G06T 7/20 (2017.01); G06V 10/44 (2022.01)
CPC G06V 40/171 (2022.01) [G06N 3/08 (2013.01); G06T 7/20 (2013.01); G06V 10/44 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for autonomous validation of a safety rule compliant wearing of a mask, the method comprises:
searching, by a processing circuit and in sensed information, for maskable facial landmarks;
determining that a mask has a proper coverage when finding that all the maskable facial landmarks are masked;
wherein the determining is executed by extracting localized facial recognition features by (a) using a convolutional neural network (CNN) pre-trained for learning the facial recognition features to extract a 3D grid of activations that are obtained as output of one of the convolutional layers as an activations map, (b) obtaining such activations maps for multiple faces, in which occlusion augmentations are imposed on the faces on random locations, and (c) training a classifier for each grid point of the 3D grid that predicts whether the grid point of the 3D grid is occluded or not;
estimating, based on sensed information representing the mask, whether the mask, when the mask has the proper coverage, is adapted to prevent a progress of saliva droplets; deciding, that the person properly wears the mask in a safety rule compliant manner when the mask has the proper coverage and is adapted to prevent progress of the saliva droplets; and responding to the deciding by populating a database and transmitting an alert.