1. A method for automatically inferring one or more physiological conditions of an individual using a physiological monitoring system comprising: (a) operating a physiological monitoring system, including an inference engine, an image processor, and an image capture device to automatically assess physiological conditions of a subject individual from a captured image of the subject individual, where the physiological monitoring system is operated in a fixed capture area and the image capture device automatically acquires color images of a plurality of individuals, where the subject individual resides in a family unit of individuals that live together in a common residence; (b) automatically analyzing the captured images using the image processor to identify an individual as a subject individual being monitored by the system; (c) automatically analyzing the captured images using the image processor to derive both physiological data of the individual and associated image capture condition data during multiple image capture events, wherein the image capture condition data includes ambient lighting condition data; (d) automatically associating a set of personal data regarding the subject individual to the subject individual identified by the system, the personal data including wellness parameter data or semantic data or both, wherein the wellness parameters correspond to known physiological attributes for the individual; (e) automatically analyzing the physiological data or image capture condition data using the image processor to determine acceptability, where acceptability of the capture condition data is determined relative to various criteria, including those related to ambient light conditions; (f) calculating wellness parameter data for the subject individual, using the acceptable physiological data and the acceptable image capture condition data; (g) analyzing the wellness parameter data to identify changes in the wellness parameter data; and (h) automatically inferring physiological condition of the subject individual, using the inference engine, from the changes in the wellness parameter data, in view of the semantic data or the image capture condition data associated with the subject individual, and also providing comparative inferences of the physiological condition of the subject individual relative to wellness parameter data, physiological conditions, including family health history, or semantic data of other individuals in the family unit.