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Node.js powered, WebRTC Delivered video chat. Canary and Opera

Dependency: grunt

$ npm install grunt -g

Dependency: npm modules

$ npm install

Verify and Build code with:

$ grunt

Run Application with:

$ node app


These were taken with dmv. When you click on the camera display surface, the image is captured and sent to a Node.js server via Socket.IO where a png is created and saved in the ./saved/ directory.


  • ✔ take a picture with a web cam.
  • ✔ Put it on the browser screen (canvas I hope).
  • Do face-recognition if easy. (SEE:
  • Allow operator to position a square if the face-recognition goes batty.
  • ✔ Click to capture
  • ✔ Upload pic to server. (Auto with
  • ✔ Save captured image on server!

Built With: grunt, express, and love


Style guide: idiomatic.js, Lint and test your code using grunt.

Also, please don't edit files in the "dist" or /public/javascript/ subdirectories as they are generated via grunt. You'll find source code in the "lib" subdirectory!


Copyright (c) 2012 Rick Waldron Licensed under the MIT license.

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