Face Detection, Recognition and Tracking
Specific Person Recognition
Orientation and Localization
The smart home market has yet to take off and part of the reason is that the solutions offered so far have not lived up to expectations. A recent report from BI Intelligence concludes “the largest barrier is the technological fragmentation of the smart home ecosystem, in which consumers need multiple networking devices, apps and more to build and run their smart home.” That’s about to change now with the advent of deep learning and vision processing. A partial list of all the elements that make up a smart home include the following: entertainment centers, lights, locks, air conditioning and heating, intrusion alarm systems, smoke and fire detectors, baby and infant monitors, door bell and exterior and interior security cameras, among others. Most if not all of these devices can be connected to a local network and from there to the Internet.
Introducing ThinCI deep learning, vision processing intelligence anywhere in this system can convert the house into a concierge for the homeowner. ThinCI technology can be used to customize every room to the individual entering the room for a specific time of day: the level of lighting, temperature, ambiance (fireplace on or off), the programming on the TV or audio on the sound system… ThinCI technology can monitor and report activity within each room: detect hazardous behavior in toddlers, alert parents to newborns in distress, monitor errant pets, detect and report toxic odors, fire danger, presence of an intruder even before an intrusion. The technology can also manage access to the home, open the door for a delivery and secure it afterwards, distinguish the homeowner and family from a stranger and lock and unlock the door and/or alarm system appropriately. ThinCI technology can make the home a thinking entity catering to the needs and wants of the homeowner and family.