The hardware required is a Raspberry Pi Zero 2 W, a camera (in this case, a USB webcam), and something to hold it above the book.

While TensorFlow Lite enables you to run complex models on a Raspberry Pi, there are inherent limitations due to the device’s hardware constraints.

A recent [TensorFlow] video shows an interview between [Jason Mayes] and [Paul Van Eck] about using TensorFlow.js with Node-RED to create machine learning applications for Raspberry Pi visually.

The Raspberry Pi Zero is one of the smallest and cheapest computers you can buy, but there were some compromises made. Here's what you need to know.

The new Raspberry Pi Zero 2 W is a tiny, inexpensive computer with built-in support for WiFi, Bluetooth and a 1 GHz BCM2710A ARM Cortex-A53 quad-core processor that delivers about 5X the ...

The Raspberry Pi 5 is 85 x 56mm, and the Raspberry Pi Zero 2 W is 65mm x 30mm. Its slimmer size makes it easier to "hide the hardware" if you want a clean and tidy smart home set up.