Columbia University Program on Internet of Things
Columbia University Program on Internet of Things
  • Home
  • Spring 2019 Projects
  • Spring 2018 Projects
  • Spring 2017 Projects
  • Summer 2016 Projects
  • Spring 2016 Projects
  • Summer 2015 Projects
  • Summer 2015 - Lecture Series
  • IoT Map NYC
  • Home
  • Spring 2019 Projects
  • Spring 2018 Projects
  • Spring 2017 Projects
  • Summer 2016 Projects
  • Spring 2016 Projects
  • Summer 2015 Projects
  • Summer 2015 - Lecture Series
  • IoT Map NYC

EECS E6765 IoT - Systems and Physical Data Analytics

Spring 2017 Projects

  • Finger Conductor -A device controlled by hands which can create music based on the motion of hands. By using two hands the device can create drum music based on the position and velocity of hands. By capturing the motion of five fingers, the device can create simple piano music.
  • Blind-Friendly Kitchen - A device to be used as eyes of a blind person working in the  kitchen. It contains a camera, microphone, earphone, buzzer, as well as temperature and distance sensors. It leverages image and speech recognition to improve the quality of life for blind people and lets them enjoy cooking.
  • Anti-Lost Device: SAVIOR - A pair of devices, used to locate lost items and raise an alarm.
  • Peripheral Edema Measurement Helper
  • SIGNATURE AUTHENTICATION PEN
  • Write Anywhere Device - Using a wireless pen to capture writing.
  • iCarRadio - Recommend and play music in a car, based on the environmental conditions.
  • ENERGY USAGE MONITORING - A modular micro-grid system for undeveloped areas. Monitor energy consumption measured by smart meters over radio link. Poll multiple meters synchronously and compile data into a database. Monitor energy credit from centralized location and disconnect energy flow upon zero credit mark. Handle retries and corrupt data from radio link. Application for rural electrification.
  • iWORKOUT: Smart Fitness Solution. A mobile application to control sensors on sports equipment to measure the intensity of user's movements. A machine learning model assisting users to work out.
  • Air  Quality  Insight - Analyzing the air quality. Web app with node.js which uses Google charts for visualization.
  • Smart  Clock - Set alarm based on information from google or other calendar, traffic and weather.
  • Smart Parking
  • Dodge Fitness Map
The following companies have generously supported the course by donating development platforms, components and services:
  • ​Intel: Intel Edison development kits and Grove starter kits
  • Atmel Internet of Things Solutions
  • Amazon: AWS Educate accounts for faculty and students
  • FutureAir
  • All [in]spire
  • Broadcom: Broadcom WICED sensors
  • Silicon Labs: IoT development kits
  • IBM: IoT Bluemix accounts
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