Train your own TensorFlow Lite object detection models and run them on the Raspberry Pi, Android phones, and other edge devices! Get started with training on Google Colab by clicking the icon below, ...

The interface of the application is using a USB serial port through a USB to TTL adaptor. The demo also supports Mac and Linux environments including the Raspberry Pi. The Arducam Mini 2MP Plus camera ...

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 ...

Keep in mind that the Raspberry Pi only supports Caffe models, for TensorFlow you’d need to run it on an Ubuntu machine. For the setup that allows you to easily run someone else’s NCS format object ...

This study introduces a new method for improving object detection using audio-visual fusion, which is implemented on a Raspberry Pi and integrates with FogBus. In order to identify and characterize ...

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.

🍓 A custom model was created using TensorFlow 2 Lite on a novel dataset. Dataset consisted of 2,400 images and had an accuracy of 85%. The final tests were done on a Raspberry Pi 4. - Purefekt/Cust ...