Abstract: In one embodiment, a method, by one or more computing systems, includes determining, based on frames captured by a camera, a plurality of participants are located in an environment, locating, within a first frame, a first body region of a first participant of the plurality of participants, detecting, at a first time, appearance information of the first body region of the first participant, calculating, using one or more machine-learning models, a confidence score corresponding to a match between the appearance information of the first participant at the first time and one or more profiles of pre-registered participants, updating, using the one or more machine-learning models, the confidence score based on one or more additional appearance information detected within additional frames, determining whether the updated confidence score is above a predetermined threshold, and in response to determining the updated confidence score is above the predetermined threshold, authenticating the first participant.

Abstract: A carbonized coaxial composite fiber includes an inner layer including carbonized polyacrylonitrile, a middle layer surrounding the inner layer and including carbonized graphene nanomaterials, and an exterior layer surrounding the middle layer including carbonized polyacrylonitrile. The carbonized graphene nanomaterials are aligned along a length of the coaxial composite fiber.