1. A method of determining the likelihood that a person is intoxicated, the method comprising: gathering ambient data about the person from one or more sensors operably coupled to a primary measuring device (PMD), wherein the one or more sensors comprise a camera, the PMD is equipped with facial recognition software, and the ambient data includes facial features of the person; gathering external device data from one or more external devices operably coupled to the PMD, wherein at least one of the external devices is a head-mounted camera; analyzing and/or identifying the ambient data and the external device data; querying at least one data base to identify baseline data regarding the person; comparing the ambient data and the external device data to the baseline data and analyzing the facial features to determine a likelihood that the person is intoxicated.