Recently I have taken part in an hackathon focused on AI and Computer Vision organized by Atrovate. It has been a wonderful and enriching experience.
Something struck me though.
Of the many amazing projects presented at the end of the hackathon, only a very few of them had a proper UI and the presentation was mostly based on slides.
In some cases, this was due to the nature of the project itself.
Yet, for many projects a UI allowing interacting with the computer vision model would have provided a much richer experience.
The reason was clear: the focus of the hackathon had been put on the AI core, not the UI. This makes sense: the innovation of the project lies in its AI after all.
Another reason: not all the machine learning engineers have UI development experience.
I came out of this hackathon with an idea: to build a pre-baked UI that would allow machine learning engineers quickly prototype computer vision software, by focusing on its core, the AI model.
Today I’m releasing a first version of this project: AI Projector.
AI Projector is web-based and simple to use. You can just download the files in this repository, customize the settings in aiprojector.js and you’re ready to go.
AI Projector opens a video stream from your webcam or any video recording device you have, samples its video frames and send them to your classification model.
Frames that were labeled (i.e. the model returned at least one label with a probability >= threshold), are shown with their labels, and you can easily save them (depending on your browser, right-click + save image).
Once your model is ready, you can build your own UI or use AI Projector as a starting point for a web-based UI (AI Projector is released under the much permissive MIT license).
I’m playing with it and it feels like a good way to speed up experimenting with computer vision. 🙂
Hopefully AI Projector will come handy in many computer vision scenarios.