Abstract: A system and method for performing automated respirator mask fit testing are described. An example embodiment is configured to obtain, with one or more processors, at least one three-dimensional facial image of an individual; convert the facial image to numerical data for analysis, the numerical data representative of facial features, facial dimensions, and/or facial locations on the face of the individual; determine, based on the numerical data, a head form category for the individual; determine, based on the head form category and the numerical data, a face volume for the individual; and generate a mask fit pass (or fail) indication responsive to the face volume satisfying (or not satisfying) face volume fit criteria for the head form category. The principles described herein may also be applied for other personal protective equipment such as industrial head protection, eye and face protection, hand protection, and clothing.

Abstract: A system and method for automated respirator fit testing by comparing three-dimensional (3D) images are disclosed. An example embodiment is configured to: obtain at least one three-dimensional facial image of an individual at an initial visit (Visit X); capture at least one current 3D facial image of the individual at a subsequent visit (Visit X+n); convert the Visit X image and the Visit X+n image to numerical data for computation and analysis; identify reference points in the Visit X data and the Visit X+n data; determine if the Visit X data and the Visit X+n data is sufficiently aligned; determine if any differences between the VISIT X data and the VISIT X+n data are greater than a pre-defined set of Allowable Deltas (ADs); and record a pass status if the differences between the VISIT X data and the VISIT X+n data are not greater than the pre-defined ADs.