Category Archives: JavaScript

DeepLens Challenge Hackathon Project Submitted

Nautilus Face Tracker

My DeepLens Challenge Project is called ‘Nautilus Face Tracker’. The goal of my project is to integrate the DeepLens Camera with Alexa, using AWS Cloud as the back-bone and brains of the system, to allow Alexa to recognize faces as well as learn to recognize new faces she has never seen before. My project was more of an AWS Service Integration problem rather than a Machine Learning exercise, really; but I did learn alot about the DeepLens Platform and definitely have my interest piqued in learning more about Machine Learning and Artificial Intelligence. In fact, my girlfriend also has a new interest in the subject presumably just from listening to me work on this project. She even started taking a ChatBot course last week on Coursera as a result. These are fascinating times to work in the Information Technology field (and I shan’t be outdone)!

Here’s the architectural diagram I made to describe and explain, at a high level, how I put my project together. The source code is still in a private repository while the competition takes place. The Hackathon ends on Valentine’s Day (2/14/2018).

Nautilus Face Tracker Architecture

I put this whole thing together using some fairly simple Python and nodejs scripts and a few Lambda Services.  In retrospect, the AWS services and programming APIs are very easy and powerful to use.

Here’s the video I made demonstrating my project.  A video demonstration of working code was a requirement for this project.

So What’s Next?

I definitely want to learn more about Machine Learning. I found some good learning resources as starting points, and Coursera has some good Deep Learning classes as well:

https://towardsdatascience.com/how-to-learn-deep-learning-in-6-months-e45e40ef7d48

AWS Serveless Computing Example: Wild Rydes Part I

I’ve been working through a tutorial I started in a session I took at AWS re:Invent 2016.  I did not finish the tutorial in class so I started working on it again after getting home from the conference.  The tutorial is on GitHub if you care to follow along.

Admittedly, I’m not the sharpest knife in the drawer(but I am made of the hardest, most persistent steel…they call me, ‘Blue Steel’ – said in my best Ben Stiller voice).  It took me a while to figure out why I could not get the AWS Javascript SDK to allow unauthorized users, vis-a-vis AWS Cognito, to access my DynamoDB Email Table.  Here are some errors and things I learned troubleshooting this:

The latest Firefox browser seems to give better clues about why things are not working in the Developer Console than Google Chrome.  Using Google Chrome, I kept seeing an error like, “Missing Credentials In Config”, and was really confused what exactly that meant.  I was following the tutorial exactly, as far as I could tell, so I could not discern whether this error was from a code change I made or an AWS configuration problem?  Then I looked at my website in Firefox, using the Firefox Developer Console, and could see a little bit better what was going on.

Here’s my main error as seen in the Google Chrome Developer Console:

And here’s the same error as reported by Firefox Developer Console:

Ahh!  So a ‘ResourceNotFoundException’ is being thrown.  Now I could see that my Javascript code probably wasn’t the problem and that my Cognito/IAM Role Configuration might be the culprit.

After further investigation..a day (or so) later…I discovered a simple typo in my DynamoDB Table Name:

The table name should have been ‘Wildrydes_Emails’.  Seriously?!?!  Yes, I’m an idiot (but one made of ‘Blue Steel’…).  Once that was corrected, I was finally able to get my unauthenticated Cognito Role to access my DynamoDB Table.

There is still work to be done in this tutorial, and I’ll blog about any issues I overcome as I encounter them.  My work is being hosted in my AWS account on Cloudfront, so feel free to check it out and submit your email to my DynamoDB database.  Let’s get this startup rolling!

http://d39nkefhhvszkn.cloudfront.net/