Recommendation system and method for determining points of interest based on facial recognition and monitoring

A method executed by a recommendation system for recognizing and monitoring one or more users for an occurrence of a non-urgent health event of the one or more users and recommending one or more points of interest comprising:

• a) receiving an incoming video data by one or more processors related to the one or more users;
• b) preprocessing the incoming video data by the one or more processors into frame data, wherein the frame data includes one or more single, batches, sequences, or a combination thereof of frames;
• c) extracting facial data by the one or more processors from the frame data to identify the one or more users, wherein the facial data includes one or more extracted faces, one or more numeric array representations of one or more faces of the one or more users, one or more measurements and/or predictions of one or more poses of the one or more users, or a combination thereof;
• wherein extracting the facial data includes utilizing one or more face detection models;
• wherein the one or more face detection models convert the facial data into the one or more numeric array representations of the one or more faces of the one or more users;
• d) determining a presence and/or a probability of the non-urgent health event in the one or more users by the one or more processors by comparing the facial data with one or more stored facial data models accessible by the one or more processors, and determining user behavior based on past behavior;
• wherein the non-urgent health event is related to a health condition of the one or more users;
• e) generating one or more recommended points of interest to address the non-urgent health event based on recognizing the presence and/or the probability of the non-urgent health event;
• and
• f) transmitting the one or more recommended points of interest to a navigation system and automatically initiating directions on the navigation system to the one or more recommended points of interest.