System for characterizing biometric station metrics with genericized biometric information

A backend system, comprising a processor structured as a special purpose computer by computer-readable instructions comprising firmware, application specific integrated circuits, and software, to interface a biometric station that includes sensors for detecting entry into and leaving from the biometric station, and to carry out operations comprising:

• creating a transaction, the transaction being between the biometric station and a user in a group of users, the group of users including a number of users, and including:
• establishing, for the user, a ground truth identity,
• generating by the one or more sensors a first timestamp, indicating a time the user enters the biometric station,
• capturing an image of the user, in the biometric station,
• making a first determination of whether the image is sufficient for use in identification of the user represented in the image and, when the image is determined to be sufficient,
• deriving biometric information from the image,
• converting the biometric information into a generic-form biometric information, which is agnostic of how the biometric information was obtained,
• generating hashed user data by applying a hash function to the generic-form biometric information,
• making a second determination, based on the hashed user data, whether the user is represented in a gallery of sample images representing the user and a plurality of other users,
• generating a second timestamp, indicating a time the user leaves the biometric station, and
• establishing a transaction time, based on the first timestamp and the second timestamp;
• repeating the creating the transaction to create a plurality of transactions, each repeating being for and capturing an image of another user in the group of users and, when the image of the another user is determined to be sufficient, making another second determination, to generate a plurality of second determinations;
• determining an average transaction time, based on the transaction time for each repeating and the number of users in the group of users;
• determining one or more of efficiency, effectiveness, and accuracy with respect to time based, in part, on the average transaction time;
• and
• calculating an acquisition quotient for the plurality of second determinations, based on one of efficiency, effectiveness, and accuracy relative to time.