The document discusses using Tessel modules with Node.js for Internet of Things projects. It provides examples of connecting hardware like cameras and sensors to Node.js to process real-time events. It also describes using Tessel and its ambient light sensor module to detect light triggers and upload photos taken with the camera module to Azure blob storage. Photos could then be analyzed using Project Oxford's Face API to identify faces. Finally, it discusses how to connect devices to Azure using the Azure IoT SDKs for various platforms and languages.

1. Meetup Node.JS Paris
Tessel, Project Oxford, Azure IoT
Thomas Conté
Technical Evangelist, Microsoft
@tomconte

2. The Tessel is tiny

3. Its modules too

5. Modules
▪ Accelerometer
▪ Ambient Light + Sound
▪ Audio
▪ Bluetooth Low Energy
▪ Camera
▪ Climate
▪ GPS
▪ GPRS
▪ Infrared
▪ MicroSD Card
▪ nRF24 Module
▪ Relay
▪ RFID
▪ Servo

6. Node.JS for IoT
▪ Lots of projects around controlling
hardware in Node.JS
– Real-time event processing
– Simpler thanC/C++
– Native connectivity
– Lots of modules to reuse
▪ Some examples
– https://github.com/rwaldron/johnny-five
– http://node-ardx.org/
– http://nodebots.io/
– http://www.espruino.com/

8. http://blog.technical.io/post/98257815497/how-tessel-works-the-basics

9. Listen for Ambient module events
var tessel = require('tessel');
var ambientlib = require('ambient-attx4');
var ambient = ambientlib.use(tessel.port['A']);
ambient.on('ready', function () {
ambient.setLightTrigger(0.5);
ambient.on('light-trigger', function(data) {
console.log("Our light trigger was hit:", data);
});
});

10. function upload_picture(name, image)
{
var options = {
hostname: blob_host,
port: 443,
path: '/' + blob_container + '/' + name + blob_sas,
method: 'PUT',
headers: {
'Content-Length' : image.length,
'x-ms-blob-type' : 'BlockBlob',
'Content-Type' : 'image/jpeg'
}
};
var req = https.request(options, function(res) {
res.on('data', function(d) {
process.stdout.write(d);
});
});

11. Face Detection with Project Oxford
• Tessel + Camera module
• Take a picture on button press
• Upload the picture to Azure Blob
Storage
• Query Project Oxford FaceAPI,
using Blob URL
• Get a response back with face
attributes like gender and age
• Identify faces!

12. Connect your devices to Azure

13. github.com/Azure/azure-iot-sdks
▪ Device-facing
– For devices and field gateway
▪ Platforms
– RTOS (FreeRTOS)
– Linux (Ubuntu, Debian, Fedora,
Raspbian,Angstrom)
– Windows 7/8/10
– ARM mbed
– Android
– iOS
– …
▪ Languages
– C, Java, C#, JavaScript
▪ Service-facing
– For back-ends and cloud gateway
▪ Languages
– .NET C#, Java, Node

14. Thank you