Abstract: Disclosed herein is a method and system for determining class, attributes, and identity of an occupant in an occupancy space. An infra-red image of the occupant in the occupancy space is captured. The infra-red image information of the captured image is digitized to obtain a thermal signature of the occupant. The thermal signature of the occupant is compared with thermal signatures, characteristics, and attributes common to a class of occupants stored in a thermal signature database to determine the class, the attributes, and the identity of the occupant. The determination of the class and the attributes may, for example, comprise distinguishing between an animate occupant and an inanimate occupant, analyzing gait of the animate occupant for distinguishing between human motion and non-human motion, and enumerating occupants in the occupancy space using an edge detection algorithm.

Abstract: A method and system for predictively controlling environmental conditions of multiple occupancy zones in an occupancy space are provided. Occupancy and environmental conditions of each of the occupancy zones are detected and identified. The detected occupancy is stored in an occupancy database. Patterns of occupancy of each of the occupancy zones are determined using the occupancy database. Future occupancy of the occupancy zones is predicted based on the occupancy patterns of the occupancy zones. The environmental conditions of the occupancy zones are controlled based on the detected occupancy and/or the predicted future occupancy. The environmental conditions of the occupancy zones in the occupancy space are thereby predictively controlled by simultaneously incorporating an occupant's desired settings, existing and historical temperature data within the occupancy space, and weather data.

Abstract: A method and system for predictively controlling environmental conditions of multiple occupancy zones in an occupancy space are provided. Occupancy and environmental conditions of each of the occupancy zones are detected and identified. The detected occupancy is stored in an occupancy database. Patterns of occupancy of each of the occupancy zones are determined using the occupancy database. Future occupancy of the occupancy zones is predicted based on the occupancy patterns of the occupancy zones. The environmental conditions of the occupancy zones are controlled based on the detected occupancy and/or the predicted future occupancy. The environmental conditions of the occupancy zones in the occupancy space are thereby predictively controlled by simultaneously incorporating an occupant's desired settings, existing and historical temperature data within the occupancy space, and weather data.

Abstract: Disclosed herein is a method and system for determining class, attributes, and identity of an occupant in an occupancy space. An infra-red image of the occupant in the occupancy space is captured. The infra-red image information of the captured image is digitized to obtain a thermal signature of the occupant. The thermal signature of the occupant is compared with thermal signatures, characteristics, and attributes common to a class of occupants stored in a thermal signature database to determine the class, the attributes, and the identity of the occupant. The determination of the class and the attributes may, for example, comprise distinguishing between an animate occupant and an inanimate occupant, analyzing gait of the animate occupant for distinguishing between human motion and non-human motion, and enumerating occupants in the occupancy space using an edge detection algorithm.