The Starter Kit GenX320 is a power-efficient, event-based camera designed for the Raspberry Pi 5 that detects events with a latency of less than 150 μs, or the equivalent of about 10,000 FPS. The ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

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 # ...

The Raspberry Pi 5 is several times faster than previous models of the compact and cheap computer. For less than a couple hundred bucks, you can have a computer that can do many tasks that previously ...

Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to ...

Abstract: 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 ...

Integrating advanced object detection into your projects has become more accessible with the Raspberry Pi AI HAT and YOLO models. This guide outlines a detailed process for setting up the hardware, ...

In this tutorial/review, I’ll use a Raspberry Pi 5 with the AI HAT+ and a Raspberry Pi Camera Module 3, while I’ll connect the AI camera to a Raspberry Pi 4. I also plan to use one of the boards with ...