For public area like office and shops, LumaZones takes the activity counts from the motion sensor, plus inputs from other sensors to have a short term prediction for how to tune up the light and HVAC in different mode for each zone. Therefore it may save all the small pockets of energy whenever it has the chance of low or no occupancy. It can also blend all the advanced features, daylight harvesting, circadian, and humidity control into the autonomous algorithm seamlessly, as a total ambient management system.
Instead of conventional AI-based predictive scheduling, our patented algorithms do short term predictions by human activity level of the space to ensure the fluid occupancy patterns in the public ares are well covered. The system also does error recovery by comparing the system status and sensor data to dramatically lower the error rate.
See how lumaZones reacts to different occupancy patterns..