The command of comfort in an intelligent building by speech classification and image classification for energy optimization

Comfort command is a solution to optimize energy in an intelligent building. Our goal is to achieve an optimum and robust system, for the command of comfort. Speech and image classification are considered to be two systems that have worked well for comfort command, but both systems have drawbacks. After several studies, we noted that the inconveniences of the speech classification are solved by adding in parallel a classification of the image and the same thing for the disadvantages of the classification of images that are resolved by adding in parallel a system of speech classification. It means that these two systems work at the same time to achieve a robust and optimum system for comfort command.