Application of computer vision/video image processing in collecting HVAC control signals

 People-oriented design and operation are widely used in smart buildings. In the control loop, computer vision technologies (building “eyes”) can achieve the purpose of real time monitoring and identifying occupant related information, such as personnel positioning, occupied/unoccupied spaces, hot/cold conditions. In recent years, computer vision/video image processing technologies have been developed rapidly, which paves the way for real time non-contact monitoring. Based on relevant research achievements in the past five to ten years, systematically reviews research results and their robustness (pros and cons) of computer vision/video image processing technologies in identifying occupant’s behavior, catching hot/cold poses, monitoring physiological parameters, etc. Analyses the characteristics, applications and future development directions of infrared detectors, ordinary camera detectors based on Euler’s video amplification technology and human bone key point models. Envisages their application prospects in demand-controlled ventilation, individual environment control, and sleep environment monitoring.