adding intelligence to building automation
OCCUPANCY BEYOND MOTION
BUILDING AUTOMATION INTEGRATION
image processing occupancy sensors
computer vision applied to building automation occupancy sensors
THE CHALLENGE: Traditional occupancy sensors rely on motion and sound to determine whether or not an area is occupied. This immediately restricts the system to error-prone/false positives. The current state-of-the art PIR and ultrasonic-type sensors also have a limited range of distance. Because of the uncertainty and limitations of these traditional sensors, control delays for lighting and HVAC are set at long intervals, keeping building systems on longer and undermining the potential savings and energy use efficiency. In addition, separate sensors are required to monitor natural lighting levels that could also help to minimize the energy footprint of indoor lighting systems.
Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory have invented, refined and patented an image based occupancy sensor that relies on computer vision techniques to provide a wealth of new occupancy intelligence.
The ability to go beyond sound or motion, enabling a building automation system to estimate number of people, variations in natural day lighting levels, and other occupant behavior is now combined into one powerful sensor.
Images Courtesty of the U.S. Dept of Energy's National Renewlable Energy Laboratory