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September 9, 2020. 1 Min Read Info Sci's Cheng Zhang and his CIS-based SciFi Lab are in the news (again) for more amazing tech they've developed. VibroSense takes smart homes to new levels, using lasers, vibrations, and a deep It can identify up to 17 different household activities. We've all been there at some point: you forget to go to the dryer when it completes a cycle, letting your clothes sit and collect wrinkles.
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Best of all, you wouldn't need to replace your existing appliances. The team created a device called VibroSense that can identify and categorize home appliances by the specific vibrations they produce in your home as those vibrations travel from room to room. 'VibroSense' Tracks House Appliances Through Vibration, AI 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. We've all been there at some point: you forget to go to the dryer when it completes a cycle, letting your clothes sit and collect wrinkles.
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In single-story houses, the laser was pointed at an interior wall at the center of the home. It was pointed at the ceiling in two-story homes. The device, VibroSense, uses lasers to capture vibrations in walls, ceilings and floors and a deep learning network creates different signatures for each device. "Recognizing home activities can help computers better understand human behaviors and needs, with the hope of developing a better human-machine interface," said Cheng Zhang, assistant professor of information science at Cornell.
Image credit: Emily Chung via Unsplash. 2020-09-24
Vibrosense: Undergraduate Student Researcher at Cornell University Brooklyn, NY. Abhi Ramakrishnan. Abhi Ramakrishnan Visiting Research Scientist at University of Illinois at Chicago
VibroSense could also distinguish five different stages of appliance usage with an average accuracy more than 97%.
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Medicinteknikbolaget Vibrosense, som är listat på Spotlight, redovisar en nettoomsättning på 0,1 miljoner kronor (0,4) för det fjärde kvartalet, april-juni 2020, i det brutna räkenskapsåret. Cornell คิดค้น VibroSense ให้เครื่องใช้ในบ้านฉลาดไปอีกระดับด้วยการวัดแรงสั่นระบบ AI เคยประสบกับการที่ลืมผ้าทิ้งไว้ในเครื่องอบผ้าเมื่อทำงานเสร็จแล้ว
In addition, VibroSense may even be able to help homeowners detect electrical faults before they become critical.
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While VibroSense won’t magically give your dumb appliances smart features, it will give users more insight into what their appliances are doing. This can help in many ways such as energy monitoring, where it might notice if you have a light that is not turned off, food that has not been taken out of the microwave, clothes not removed from the washing machine, or if you have a leaky faucet.
Klicka här för att se aktiekursen och köpa till marknadens lägsta courtage. VibroSense could also distinguish five different stages of appliance usage with an average accuracy more than 97%. In single-story houses, the laser was pointed at an interior wall at the center of the home. 2021-03-22 Cornell's VibroSense makes appliances 'smart' by tracking their vibrations It can identify up to 17 different household activities. Igor Bonifacic , @igorbonifacic Developed by a team at Cornell University, VibroSense can track 17 types of appliances with lasers that capture subtle vibrations in walls, ceilings and floors, and a deep learning network that models the vibrometer’s data to create different signatures for each appliance.