It all sounds so familiar – don’t we already have this?
But really, we haven’t seen a good implementation
for the residential market until RoomMe came along.
The Smart Home is as smart as the practicality it provides.
Opening an app and navigating touch screen interfaces to turn a light on or set the temperature, causes deep longing for the good old wall switches and simple thermostats.
True Occupancy Automation relies on room level person identification to create a button and speech free automation experience.
Once the programming was defined, operation was seamless and highly reliable, with people just walking into a room and things happening. I didn’t tell my wife about it, but when she walked into our room for the first time and the lights turned on, she said, “Wow, the lights just turned on. That’s cool."
Devices that do it on their own.
No app opening. No button pressing. No talking.
When an identified person enters the room, RoomMe triggers the relevant automation, based on the time of presence, taking into consideration other people who are already in the room.
Even in its initial release, RoomMe is an excellent product.
In the future, machine learning may help a smart home to better understand people’s intent and to fully take actions that anticipate people’s needs. Today, RoomMe takes us a step closer to that goal.