Contactless Sensing of Indoor Thermal Comfort and Air Quality Using Computer Vision Technology

Abstract

Indoor thermal comfort and air quality have a significant impact on people’s lives and health. Among the various elements of the indoor environment, indoor temperature is regarded as the primary reference factor for human thermal comfort, accounting for a large portion of building energy consumption. Furthermore, the rapid advancement of computer vision technology (CV) provides dependable technical support for contactless detection of human core temperature. As a result, it is becoming increasingly important to develop an indoor temperature control system that can improve thermal comfort while reducing building energy consumption. This chapter describes the application background of computer vision technology in detail and provides an in-depth overview of existing personal thermal comfort prediction models as well as dynamically regulated heating, ventilation, and air conditioning (HVAC) systems. Finally, the paper summarizes the realization of contactless human thermal sensation and comfort detection using computer vision technology, as well as future miniaturization of detection equipment and privacy protection.