To boost efficiency in typical households – where people forget to take wet clothes out of washing machines, retrieve hot food from microwaves and turn off dripping faucets – Cornell researchers have developed a single device that can track 17 types of appliances using vibrations.
The device, called VibroSense, uses lasers to capture subtle vibrations in walls, ceilings and floors, as well as a deep learning network that models the vibrometer’s data to create different signatures for each appliance – bringing researchers closer to a more efficient and integrated smart home.
この情報へのアクセスはメンバーに限定されています。ログインしてください。メンバー登録は下記リンクをクリックしてください。