Sometime in late 2015/early 2016, I was involved in a SnackWatcher project at the Jonah Group. This was a fun exercise involving a sweet office tradition.

Hardware used

  • Raspberry Pi 2. One for development, and another for deployment
  • Spare monitors, for shielding the camera from glare

Software used

A whole bunch of Python libraries/frameworks:

  • OpenCV and SimpleCV for image recognition.
  • Orange machine learning tools.
  • Flask and Jinja were used for displaying data to the web.
  • A Hubot gave our team automatic updates via Slack.


When our colleagues wanted to share snacks, they would place it on a snack table, so fellow devs can enjoy some treats. The project's premise was to install a camera over the snack table, and automatically alert our colleagues whenever a snack was deployed.

Upon joining the SnackWatcher team, I worked on the user-facing parts of the system. First, I set up a Slack bot to let our colleagues know when there are new snacks. This bot periodically checked the table status (using the handy SnackWatcher API). I also implemented a webpage using Flask, a Python static site generator.

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If you want some more details, feel free to check out the GitHub repo and blog for the project.