Personal protective equipment fitting device and method

A tangible, non-transitory, machine-readable medium storing instructions that when executed effectuate operations including:

• obtaining at least one three-dimensional (3D) facial image of an individual;
• converting 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;
• determining, based on the numerical data, a head form category for the individual;
• determining, based on the head form category and the numerical data, a face volume for the individual;
• and
• generating a mask fit pass indication responsive to the face volume satisfying face volume fit criteria for the head form category;
• or
• generating a mask fit fail indication responsive to the face volume not satisfying the face volume fit criteria for the head form category.

A system comprising one or more processors and memory storing instructions that when executed by the processors cause the processors to effectuate operations comprising:

• obtaining at least one three-dimensional (3D) facial image of an individual;
• converting 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;
• determining, based on the numerical data, a head form category for the individual;
• determining, based on the head form category and the numerical data, a face volume for the individual;
• and
• generating a mask fit pass indication responsive to the face volume satisfying face volume fit criteria for the head form category;
• or
• generating a mask fit fail indication responsive to the face volume not satisfying the face volume fit criteria for the head form category.

A method for performing automated personal protective equipment fit testing, the method comprising:

• obtaining, with one or more processors, at least one three-dimensional (3D) image of at least a portion of an individual;
• converting, with the one or more processors, the image to numerical data for analysis, the numerical data representative of bodily features, bodily dimensions, and/or bodily locations on the body of the individual;
• determining, with the one or more processors, based on the numerical data, a body part category for the portion of the individual;
• determining, with the one or more processors, based on the body part category and the numerical data, a body part volume for the individual;
• and
• generating, with the one or more processors, a personal protective equipment pass indication responsive to the body part volume satisfying body part volume fit criteria for the body part category;
• or
• generating, with the one or more processors, a personal protective equipment fail indication responsive to the body part volume not satisfying the body part volume fit criteria for the body part category.