Saturday, June 25, 2016

MOZILLA CONNECTED DEVICE - MOZ IoT MEETUP SERIES @ COIMBATORE

MOZ IoT MEETUP SERIES - 2016

VISION & MISSION

In 2016 we want to deliver an uncompromising, User first, web centric experience via Connected Devices.
The Internet of Things (IoT) leads the way to the next phase of the Internet. Here at Mozilla, we want to ensure everyone can fully benefit from this next phase. For that to happen, the nascent IoT must become secure for users and truly inter-operable and open.
We believe that by releasing products with undeniable value to identified end users, we will gain credibility and momentum to influence IoT protocols and open systems globally. We are working to identify relevant products through exploratory projects; these projects are geared toward solving real end user problems and/or providing genuine value.

MOZILLA TAMILNADU - CONTRIBUTION TO CONNECTED DEVICE 

Mozilla Tamilnadu planned to explore the project ideas of Mozilla Connected Device around tamilnadu to show how important it is and to enlarge our Mozilla community growth. For that we scheduled the six IoT meetup series in coimbatore. This meetup series is open to all and anyone can participate, explore their ideas to prove their knowledge in connected device. 
  1. MENTOR: Mr.D.Vigneshwer Dinakaran - Mozilla Representative 
  2. CONTRIBUTORS: Paarttipaabhalaji, Prasanth, Sudharsan,Gowtham Venkat, Ramki, Participants from SNS College and KGiSL College.

MOZILLA CONNECTED DEVICE PROJECTS:

  • Project Sensor Web aims to find the easiest path from sensors to open data so contributors can collaboratively use sensors to get great detail of understanding their living environment.
  • Project Haiku (former Project Smart Home) offers a middle ground between “in a box” and DIY solutions to enable modular, affordable hardware.
  • Project Magnet is your own, personal user agent for the content that is around you. 

 PROJECT WE GOING TO CONTRIBUTE:

  • Team 1 : Human Pose detection.
  • Team 2: Binary classifier to predict fighting position or not.
  • Team 3 : Defense move for the predicted step.
  • Team 4 : Object detection.
  • Team 5: Predict whether human or not.
  • Team 6 : Track humans.
  • Team 7 : Face detection.
  • Team 8: Sentimental analysis.
  • Team 9 : Face recognition.
  • Team 10 : Temp sensor monitoring.
  • Team 11 : Pushing real time data to webapp.
  • Team 12: Air pollution monitoring.
  • Team 13: Web app.
  • Team 14 : Hal9000 (Just like Google home).
  • Team 15 : Detecting voices and separation.
  • Team 16 : Sentimental analysis of the voice.

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