Web app that uses motion detection to take a snapshot when something moves, then uploads the image to Twitter.
Visit http://diffcam.com/ to see this in action.
Powered by diff-cam-engine (https://github.com/lonekorean/diff-cam-engine).
npm install, then
gulp watch), then
npm start. Everything is built to
/dist. If you're in dev, hit
http://localhost:3000 to run the web app.
In dev, you'll want to create a
.env file in the root with the following contents (edit as appropriate):
process.env.ENVIRONMENT = 'dev'; process.env.PORT = 3000; // do not set in prod (auto-assigned by Heroku) process.env.SESSION_SECRET = 'your secret string'; process.env.TWITTER_CONSUMER_KEY = 'your twitter consumer key'; process.env.TWITTER_CONSUMER_SECRET = 'your twitter consumer secret';
Diff Cam Feed relies on a registered Twitter app. You can create one via Twitter Application Management. The
TWITTER_CONSUMER_SECRET values above will be provided when you do so.
Images are not necessarily uploaded to the account used for registering the Twitter app. Rather, users will be prompted to sign in with their own twitter account, which is where the images will be uploaded.
This web app does require
https to run in production. It will run fine under
http on localhost, though.