Environment, Python
Leave a comment

OpenDataCam 2.0 – An open source tool to quantify the world

The team behind the OpenDataCam have just released a version 2.0 of their open source tool to quantify the world. As already reported on CAN last year, OpenDataCam consists of a camera attached to a mini computer that is running an object detection algorithm that counts and tracks moving objects. The board is equipped with a GPU (graphical processing unit), which allows it to process many parallel image threads at once. Great tool for image analysis and video processing.

On the software side OpenDataCam is running YOLO — an object detection library. YOLO is trained to detect objects in images. The attached camera feeds YOLO with a video, YOLO then outputs all objects in each frame. It is not tied to a specific housing, instead you can design your own or use an already existing casing. Likewise, OpenDataCam is not connected to the cloud, you’re in full control of when to gather it. Via the interface you can specify which areas of the picture objects should be counted. Also the camera tracks how things move through the frames. Via an easy export function you can access the tally and traces and use it in any thinkable way.

The version 2.0 change-log includes:

  • Now runs on all Jetson’s boards (also the Nano for $100)
  • New/polished interface
  • Export data directly via API (that opens up the door for more artistic things)
  • New website!

See app demo below and for more information and how to make one please visit the links below.

Project Website | GitHub

Project by: Benedikt Groß (Direction, Concept), Markus Kreutzer (Design, Concept), Thibault Durand (Development, Concept), Raphael Reimann (Video, Concept), Florian Porada (Development), and Neele Rittmeister (Illustration).

Leave a Reply

Your email address will not be published. Required fields are marked *