Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI ...

A quantitative study comparing different TensorFlow Lite models for real-time image detection of US Dollar bills on edge devices (Raspberry Pi 4). This project evaluates three state-of-the-art object ...

ABSTRACT: Road surface defects such as potholes and cracks pose significant risks to traffic safety and vehicle integrity. Traditional inspection methods, including manual surveys and citizen reports, ...

The Raspberry Pi might sound like dessert, but it's actually a credit card–sized computer changing the world of DIY tech. First launched in 2012 by the Raspberry Pi Foundation, it was designed to make ...

Imagine walking through a crowded city street, your phone buzzing with notifications, unaware that hidden among the sea of signals is a device quietly tracking your every move. Or perhaps you’re at ...

The Kappa4310Rasp is a Raspberry Pi-compatible Modbus RTU HAT designed to evaluate the IS4310 Modbus RTU Slave stack chip. This allows engineers to simulate sensor and actuator interactions using a ...

The HackberryPiCM5 is a handheld computer with a 4 inch, 720 x 720 pixel touchscreen display, a repurposed BlackBerry keyboard, and and a Raspberry Pi Compute Module 5 inside, allowing you to use the ...

The system is optimized for Raspberry Pi and balances performance with accuracy by using adaptive processing rates based on detection state. zvision/ ├── config.yaml # Configuration file ├── main.py # ...

Yesterday we wrote about using quantum sensors for brain-computer interfaces (BCI) and other biomedical applications. But that’s the future, and if you want to experiment with brain-computer interface ...

Abstract: Object detection in real-time poses complex challenge within the realm of computer vision. This involves challenging task of calculating positions of objects and assigning a degree of ...