His object recognition software runs on a Raspberry Pi equipped with a webcam, ... This project uses a number of other toolkits as well, ... 11 thoughts on “ Object Detection, With TensorFlow ” ...

In the video, you’ll see a proof of concept that demonstrates the power and versatility of TensorFlow Lite on a Raspberry Pi. The project involves using a camera module to capture images and ...

TL;DR Key Takeaways : The Raspberry Pi AI HAT, combined with YOLO models, enables real-time object detection, counting, and positional tracking for applications like security and automation.

Support for object detection has also been added, meaning Raspberry Pi owners can use camera data captured on their device to train their own custom object detection algorithms, instead of having ...

The Pi uses Tensorflow Lite to classify the sounds it picks up outside, and when one of those sounds fits the model of a cat’s meow, a message is dispatched to AWS Lambda.

Besides putting a Raspberry Pi to work on a mini Mars rover, it's now going to be a lot easier to use Google's TensorFlow artificial-intelligence framework with the low-powered computer ...

At the heart of the kit’s design is the $10 Raspberry Pi Zero W board. It’s a self-contained computer consisting of a single-core processor, 512MB of memory, Wireless N and Bluetooth 4.1 ...

Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi. Raspberry Pi-style Renegade Elite runs Android Oreo on six-core, 4K board ...

The Tinker Board R, meanwhile, is powered by a Rockchip RK3399 Pro ARM system-on-chip (SoC) with an NPU for AI processing. ASUS says this one is suitable for 4K machine learning chores ...