Welcome to "Innovators  of Tomorrow."
  I'm your host Bob  Duffy here to bring you
  the sights, the sounds,  and inspirational work
  from developers in our  innovator community
  from around the globe.
  Today we are talking with  Intel Software innovator Paul
  Langdon about the  work he's been doing
  in smart switches, home  devices, Amazon Deep
  Lens, and the Hartford  maker community.
  So let's get started.
  [THEME MUSIC]
  Hi, Paul.
  Welcome to the show.
  I know you as of our  most prolific innovators.
  You're always tinkering  around with technology
  and you're spending a lot of  time supporting the local maker
  and innovator  community in Hartford.
  So just tell me what are  you working on these days?
  Thanks for having me on.
  I've mostly been  spending my time
  working on a couple projects  and running some meet ups here
  in Hartford.
  That's great.
  I mean, because I do  see you on Facebook.
  And I see that  you are out there,
  you're building lots  of things, and you are
  supporting the maker community.
  But on the things that you're  building and prototyping,
  tell us a little  bit about those.
  Sure.
  At my day job at iDevices  we make smart switches
  and smart home devices.
  I've been working on a project  integrating voice services
  into our product line.
  We've been real busy  prototyping different voice
  hardware and SDKs.
  And we're hoping to release  it in a project this year.
  As a hobby project I've  been working on Deep Lens.
  It's a deep learning  hardware that
  was put together  by Intel and Amazon
  and released or announced  at AWS Reinvent this fall.
  I've been building  two projects with that
  that relate to Deep Lens.
  The first, I'm training models  to identify wildlife and birds
  so we can catalog the creatures  that come to visit the nature
  center where my wife works.
  The model is currently  trained on feather patterns
  and how animals look, but  I'm hoping to include sounds
  and birdsong as a way to  further identify the animals.
  Deep Lens is a neat project.
  It uses AWS SageMaker  and Jupyter notebooks,
  put it runs on Intel hardware  to quickly identify video
  at the edge.
  The second project I've been  working on with Deep Lens
  is building a custom  Deep Lens configuration
  using an off the shelf Nook,  SageMaker, and a USB camera
  in hopes to bring more  deep learning functionality
  to developers.
  That's just amazing, Paul,  using something like Deep Lens,
  using something that's a smart  camera to identify wildlife.
  That just sounds so cool.
  And then also kind  of building your own,
  rolling your own, as they say,  with regard to a smart camera.
  That's so cool.
  But I also know that you  do spend a lot of time
  supporting your local community  and young innovators there.
  So tell us about what you're  doing there at Hartford.
  I teach and mentor  probably about once a week.
  I've been running Intel  Alliance workshops monthly
  at a technical college here.
  The workshops I've been running  include AWS voice services
  and Google Cloud platform.
  They all run these services  at the edge on Nook gateways.
  The workshops are great.
  They fit nicely into the AI  machine learning curriculum
  that they're teaching  at the schools.
  And we also have a really active  maker community in Hartford.
  I've been hosting the  monthly Hackster.io workshop
  for about three years now,  which focuses on hardware
  and electronic projects.
  That is so cool to see that  you're spending your own time
  dedicating to others.
  It's inspiring.
  Is there something that  you've heard or seen
  within your local community that  has been inspirational for you?
  Yeah.
  My meet ups are pretty diverse.
  They attract a lot of different  folks from high school students
  to retired engineers  here in the area.
  A really cool story,  one of my favorites,
  is we had a couple of students  who were building a robotic arm
  project to help disabled  people in the workplace.
  We have another active  retired aerospace engineer
  that's part of our meet up.
  He stepped up to  mentor their project
  and help them  deliver it on time.
  It was a great success.
  They actually  competed nationally
  and placed in the top five  for a national competition.
  That's absolutely  amazing to hear.
  What a great story of people  helping each other, especially
  for something so good as that.
  So we are lucky to have you,  Paul, and so is the Hartford
  community.
  I really thank you for  spending time with us today.
  You can connect with Paul and  follow along with his projects
  at the link provided.
  Also, we've included  a link so you
  can learn more about the Intel  software Innovator Program.
  That wraps up this  installment of the show.
  Be sure to like this video and  subscribe to the Intel Software
  YouTube channel to keep  learning about the innovators
  of tomorrow.
  On behalf of an amazing video  crew, thanks for tuning in.
  We'll catch you later.
  [INTEL JINGLE]
  
        
      
 
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