A computer may identify an individual according to one or more
biometrics based on various physiological aspects of the individual, such as
metrics of various features of the face,
gait,
fingerprint, or voice of the individual. However,
biometrics are often computationally intensive to compute, inaccurate, and unable to scale to identify an individual among a large set of known individuals. Therefore, the biometric identification of an individual may be supplemented by identifying one or more devices associated with the individual (e.g., a
mobile phone, a vehicle driven by the individual, or an implanted
medical device). When an individual is registered for identification, various
device identifiers of devices associated with the individual may be stored along with the
biometrics of the individual. Individuals may then be identified using both biometrics and detected
device identifiers, thereby improving the efficiency, speed, accuracy, and
scalability of the identification.