ARcostume isn’t unique in placing AR widgets over your body. But it moves the starting point of Augmented Reality from an app, to something physical you wear. It’s something you can talk about immediately and show people with just one instruction: “Scan the QR code”.
TensorFlow.js is an extremely powerful machine learning framework. But its demonstration apps can be a little intimidating for newcomers. I wanted to make a straightforward example of a model that demonstrates the basics of TensorFlow.js. In this article walks through a simple classification model which solves for XOR.
Google’s Cardboard viewer standard has no standard control scheme. This is what led me to write nod.js, a simple gesture based event system for Google Cardboard enabled web apps. It uses device accelerometers to detect a sharp motion in one of four directions: up, down, left and right. With nod.js you can implement actions such as next, previous, confirm and cancel without the need for an external controller.
A recent project I worked on involved a thermal camera. At first it wasn’t clear whether or not we would be able to wire it into a web app. I decided to create a few alternative prototypes to fall back on, one of which involved motion detection. Anything moving is likely to produce heat. The effect works by capturing two frames, 3 seconds apart, from the live video feed. Even someone holding still to pose for the camera moves a little. Cheating, for sure, but the effect works really well.