Fully automated non-contact remote biometric and health sensing systems, architectures, and methods

A method for contact-less biometric measurement comprising:

• receiving, by at least one processor, a stream of image frames produced by one or more biometric sensor devices including at least one internet capable device;
• extracting, by the least one processor, frame data from the stream of image frames comprising a plurality of images;
• determining, by the at least one processor, at least one worker server from a plurality of worker servers based on a future load prediction by a predictive load balancer;
• communicating, by the at least one processor, the frame data from the at least one internet capable device to the at least one worker server;
• extracting, by the at least one processor, a set of patient face images associated with a user captured by the frame data;
• determining, by the at least one processor, a patient identity of the user associated with the set of patient face images of the frame data using a facial recognition machine learning model;
• storing, by the at least one processor, the set of patient face images in a shared memory system with shared access by a plurality of independent biometric data processing pipelines;
• determining, by the at least one processor, one or more biometric measurements based on the set of patient face images in the shared memory system, each of the one or more biometric measurements being determined with an independent biometric data processing pipeline of the plurality of independent biometric data processing pipelines with the shared access to the shared memory system for inter-process communication;
• wherein each of the one or more biometric measurements comprises a distinct health-related metric of the user;
• exporting, by the at least one processor, the one or more biometric measurements to a user database;
• and
• displaying, by the at least one processor, a selected set of the one or more biometric measurements on a screen of a user computing device in response to a user selection.

A system for contact-less biometric measurement comprising:

• one or more internet connected devices configured to:
• produce a stream of image frames produced by one or more biometric sensor devices including at least one internet capable device, and
• extract frame data from the stream of image frames comprising a plurality of images;
• a plurality of worker servers, each worker server comprising a respective at least one processor and a respective shared memory system;
• a user database in communication with the plurality of worker servers and the one or more internet connected devices;
• a predictive load balancer in communication with the plurality of worker servers and configured to determine at least one worker server from the plurality of worker servers based on a future load prediction;
• an interface delivery server in communication with the plurality of worker servers, the predictive load balancer and the one or more internet connect devices, and configured to communicate the frame data from the at least one internet capable device to each of the predictive load balancer and the at least one worker server;
• wherein the at least one processor of the at least one worker server is configured to:
• extract a set of patient face images associated with a user captured by the frame data;
• determine a patient identity of the user associated with the set of patient face images of the frame data using a facial recognition machine learning model;
• store the set of patient face images in the shared memory system with shared access by a plurality of independent biometric data processing pipelines;
• determine one or more biometric measurements based on the set of patient face images in the shared memory system, each of the one or more biometric measurements being determined with an independent biometric data processing pipeline of the plurality of independent biometric data processing pipelines with the shared access to the shared memory system for inter-process communication;
• and
• wherein each of the one or more biometric measurements comprises a distinct health-related metric of the user;
• export the one or more biometric measurements to the user database.