Raspberry Pi Pico Person Detection with TinyML TensorFlow Lite

The Pico can run it at 1 fps, and it’s already 10x times faster than the Arduino (1 frame per 18 seconds)!

We’ve also compiled the .uf2 file for you to do quick tests, simply download it, put it into your Pico, wire the cameras, and connect it to your computer of choice, it will run automatically.

If you want to experiment TinyML and help create the future, RPi Pico may just be the freshest platform to get started with!

Buy a Pico starter kit from one of our distributors here:

Porting this to MicroPython can take a while, we are still working on it.

Follow us for more Pico projects:

[gamingsoftware]

I have a question. After I put the program on raspberry pi pico, can I make a led that lights up when people see it, without the need for a computer? Without a computer!

[spaken]

It looks like it's about 1 fps. Is that the fastest framerate it can analyse?

[noraholiday]

Thank you ! I'm developing a project related to this and it really helped. But I have a question, is it possible to fasten this project ? What should I do to make this more faster and responsive ?

[jelm]

hello, i would like to know if the arducam HM01B0 can be connected wireless using wi-fi? and transmit the video through a phone app?

[divyanshloshali]

sir if i am using window 11 so how can i do that please tell this also
🙏🙏

[rohanmanchanda]

Why can this not be run using MicroPython? C/C++ is not as easy and developer-friendly at all, compared to MicroPython. Even the Tensorflow Models themselves are built using python so it would be convenient for many developers since they won't have to deal with a whole new language.

[patelbrij]

I understand all but i dont foundRPI-Pico-Cam online