Methods and systems for identity verification using voice authentication

A computer-implemented method, the method comprising:

• accessing from memory, via a computing device, video images of a subject captured using a camera;
• preprocessing one or more of the video images by adjusting luminescence, contrast, and/or sharpness;
• locating a face in the video images using one or more face detection algorithms comprising Haar cascades, Histogram of Oriented Gradients, Viola-Jones framework, and/or a deep learning model;
• locating at least one eye in the face in one or more of the video images using facial landmarks and/or a feature extraction model comprising a neural network;
• locating a pupil in the at least one eye;
• determining movements of the at least one eye across a plurality of the video images using optical flow and/or deep learning-based landmark tracking, to localize positions of the pupil over time;
• detecting eye jerking of the at least one eye over two or more sequential video images based at least in part on the determined movements, wherein deviations in trajectory, velocity, and/or acceleration of the at least one eye that exceed corresponding threshold criteria are detected and used to detect eye jerking of the at least one eye;
• determining a distance of the detected eye jerking and a duration of the detected eye jerking;
• generating a first intoxication indicator based at least in part on the determined distance and duration of the detected eye jerking;
• determining a diameter, radius, and/or area of the pupil in one or more of the video images;
• generating a second intoxication indicator based at least in part on the determined diameter, radius, and/or area of the pupil;
• detecting eye blinking of the at least one eye using positions of eye landmarks and/or changes in pixel intensities over time;
• determining an eye blink rate based at least in part on the detected eye blinking;
• generating a third intoxication indicator based at least in part on the determined eye blink rate;
• determining, using the first, second, and third intoxication indicators, whether the subject has a mental capacity to consent to a first action;
• and
• causing one or more messages to be generated and transmitted to one or more respective electronic destinations regarding whether the subject has the capacity to consent to the first action.