An apparatus to facilitate recognition, reidentification, and security in machine learning at autonomous machines, the apparatus comprising: detection/observation logic to make a camera detect one or more objects within a house, the one or more objects including a person, wherein detecting includes capturing one or more images of one or more portions of a body of the person; extraction and comparison logic to extract body features for profiling the person based on the one or more portions of the body, wherein the extraction and comparison logic is further to compare the extracted body features with feature vectors stored at a database; reidentification and model logic to build a classification model based on the extracted body features over a period of time to facilitate recognition and reidentification of the person independent of facial recognition of the person, wherein upon the capturing of a certain amount of data being the images of the one or more portions of the body of the person over the period of time, the classification model built by reidentification and model logic reaches a point with sufficient profiling of the person, wherein when said point is reached the person is recognized and reidentified based on the built classification module without needing and entirely independent of facial recognition of the person; and recognition and registration logic to perform an initial registration of the person based on the facial recognition and to continue to register or to enroll a face of the person each time the face is detected or recognized to the database, wherein the extraction and comparison logic is further to match the extracted body features to the person being recognized by facial recognition after the initial registration. detection/observation logic to make a camera detect one or more objects within a house, the one or more objects including a person, wherein detecting includes capturing one or more images of one or more portions of a body of the person; extraction and comparison logic to extract body features for profiling the person based on the one or more portions of the body, wherein the extraction and comparison logic is further to compare the extracted body features with feature vectors stored at a database; reidentification and model logic to build a classification model based on the extracted body features over a period of time to facilitate recognition and reidentification of the person independent of facial recognition of the person, wherein upon the capturing of a certain amount of data being the images of the one or more portions of the body of the person over the period of time, the classification model built by reidentification and model logic reaches a point with sufficient profiling of the person, wherein when said point is reached the person is recognized and reidentified based on the built classification module without needing and entirely independent of facial recognition of the person; and recognition and registration logic to perform an initial registration of the person based on the facial recognition and to continue to register or to enroll a face of the person each time the face is detected or recognized to the database, wherein the extraction and comparison logic is further to match the extracted body features to the person being recognized by facial recognition after the initial registration. <EOS>