Advancements in machine learning, edge-computing and data-fusion allow devices to discover their environment, adapt to change, and self-govern all lighting control processes.
Sensors detect the room boundary, determine the lighting arrangement, and provision the mesh network using Near Infrared (NIR) light.
Automated discovery eliminates the need to manually setup the network and create room/area IDs. No user involvement is required to form a network and group all co-located devices together.
Sensors use data generated in the building to automatically configure motion and daylight groups.
Natural daylight levels and motion patterns are continually analyzed to configure daylight and motion groups, respectively. The group configuration takes effect within minutes of energizing the luminaires and is continuously optimized to adapt to changes in the built environment while always complying with building code regulations.
Devices communicate directly to one another without the use of external control or communication hardware.
The system uses edge-computing to run a decentralized control application. It allows devices to be added, removed, replaced or relocated with no programming, setup or field wiring.
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