WE'RE BRINGING REALTIME DEPTH VISION + AI TO THE RASPBERRY PI
Embedded machine learning for all
The AiPi enables for embedded machine learning what the original Pi did for software programming education. It allows anyone to get up and running with a complete solution simple and fast. And the key difference between AiPi and other solutions (e.g. using a NCS2 with the Pi) is that crossing the threshold to get to real-time enables all sort of applications which are not possible when you’re running at max CPU on the Pi, and still only achieving 3-4 FPS in your end application. With this carrier board you get real-time depth and real-time neural inference results all while leaving the Pi CPU at 0%. Which is a far cry from the existing solutions, where just to get a 3-4FPS solution the Pi is completely maxed out, and you have no room left to write your code on top of these ‘neural network tools’, no room to actually implement what you need to do in your industry.
This is what AiPI Sees.
Meet the Core Team
AiPi is a collaborative effort. EVERYBODY is welcome to contribute (yep, that includes you) regardless of experience, and here is the perfect place to start. Below are the folks who are hammering away at this with massive chunks of their time.
AiPi is a collaborative effort. Want to help? Want to give input on what the design should be, or other designs you’d want instead? Or simply want to see more options for embedded machine learning? Check out our community.