Uploaded September 2020 | Updated September 2026, 2 days ago
On this week’s episode, we are joined by Aurelien Lequertier and Jan Jongboom from Edge Impulse to show off their new project that demonstrates how to run Edge Impulse in a container on a Raspberry Pi, managed via balenaCloud. The Edge Impulse platform allows you to easily train and deploy AI models, small enough to fit within Arduino and other MCU-powered devices as well. Follow this video to see how to build a model that classifies among beer or coffee, and start innovating with Edge Impulse and balena.
Links
* Blog: edgeimpulse.com/blog/run-image-classification-in-a-containerized-environment-with-balenacloud
* Github: github.com/edgeimpulse/balena-cam-tinyml
00:00 Welcome and introductions
02:48 What's on your desk?
17:36 Velociraptors, bears and sharks!
22:15 Demo introduction
25:40 Deploy with balena
33:04 Release Party new feature
35:12 Edge Impulse demo overview
53:42 balenaCloud demo configuration
56:48 Coffee vs Beer classification
1:05:52 Wrap-up
On this week’s episode, we are joined by Aurelien Lequertier and Jan Jongboom from Edge Impulse to show off their new project that demonstrates how to run Edge Impulse in a container on a Raspberry Pi, managed via balenaCloud. The Edge Impulse platform allows you to easily train and deploy AI models, small enough to fit within Arduino and other MCU-powered devices as well. Follow this video to see how to build a model that classifies among beer or coffee, and start innovating with Edge Impulse and balena.
Links
* Blog: edgeimpulse.com/blog/run-image-classification-in-a-containerized-environment-with-balenacloud
* Github: github.com/edgeimpulse/balena-cam-tinyml
00:00 Welcome and introductions
02:48 What's on your desk?
17:36 Velociraptors, bears and sharks!
22:15 Demo introduction
25:40 Deploy with balena
33:04 Release Party new feature
35:12 Edge Impulse demo overview
53:42 balenaCloud demo configuration
56:48 Coffee vs Beer classification
1:05:52 Wrap-up










