In this tutorial you have learned that it is possible to quickly build a real-time image processing pipeline, using prebuilt library items. You have seen how to can connect to multiple types of video feed, perform object detection, and display the locations of the detected objects on a map, using the prebuilt UI.
Library items used
Here is a list of the Quix open source library items used in this tutorial, with links to their code in GitHub:
- TfL traffic cam video feed
- TfL traffic cam frame grabber
- Webcam interface
- Computer vision object detection
- Web UI
Here are some suggested next steps to continue on your Quix learning journey:
Try the sentiment analysis tutorial.
If you decide to build your own connectors and apps, you can contribute something to the Quix Library. Visit the Quix GitHub. Fork our library repo and submit your code, updates, and ideas.
What will you build? Let us know! We’d love to feature your project or use case in our newsletter.
If you need any assistance, we're here to help in The Stream, our free Slack community. Introduce yourself and then ask any questions in