Equipped with a robust set of sensors, including ultrasonic, touch, gyroscope, and a camera, PiDog can perform a variety of tasks like object detection, obstacle avoidance, and even solving math ...

Better known for its artificial intelligence software solutions, Hugging Face has now introduced the Reachy Mini open-source ...

When macOS stopped supporting my Canon scanner, I turned to a Raspberry Pi and open source, self-hosted tools to bring it ...

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 ...

The Coral Dev Board, introduced in 2019, is designed to run TensorFlow Lite models efficiently as a stand-alone solution. In a Raspberry Pi-esque form factor (Figure 2), it features an Edge TPU ...

Raspberry Pi's new AI kit offers has tons of promise. While projects are just starting to integrate its tech, here are some of the key features they'll use.

Find the 15 best Raspberry Pi 4 projects and experiment on your single-board computer. We have added RPi 4 projects for both beginners and advanced users.

SunFounder PiCar-X 2.0 is an AI-powered self-driving robot car using the Raspberry Pi 3/4 as the main processing board. It is equipped with a camera module that can be moved by a 2-axis servo motor, ...

Train your own TensorFlow Lite object detection models and run them on the Raspberry Pi, Android phones, and other edge devices! Update (9/2/22): I wrote a Google Colab notebook that can be used to ...

Introduction In this Project, I teach you how to set up the TensorFlow Lite and Voice Feedback on the Raspberry Pi and use it to run object detection models with voice feedback. In this work, I will ...