ComfyLight – Backerjack

Helium smart light uses machine learning to light up the home

Smart lights are undoubtedly cool. What’s not is the time spent digging through a light’s companion app for just the right setting, or having an assistant like Siri or Amazon’s Echo misunderstand a user’s command to turn one on or off. The Helium machine learning smart light is trying to get rid of the fuss for a smoother smart light experience.

Helium is three things in one: A machine learning connected light bulb, a night shift feature light, and a Wi-Fi extender. Its machine learning capabilities take into account time, location, weather, proximity and behavior to make it context aware. This results in lights turning on by themselves when entering a room, for example, and shifting to a bright white light during work hours for increased productivity or a warm white light right before bed for to better adhere to the body’s internal rhythms.

Deter dodgy types from the home with the ComfyLight system

While traditional home security systems are no doubt comprehensive, they only really serve to alert homeowners and authorities after a home is compromised. What good is a security system if it doesn’t actually prevent intrusion and burglary in the first place?

The team behind the ComfyLight connected light bulb design it to address this failing. Embedded with Wi-Fi connectivity and motion sensors allows the ComfyLight to automatically turn on and off when entering or exiting a room. Over time, it learns a homeowner’s patterns to replicate when they’re out for the night, for example, to deter would-be burglars.