Abstract: Recently there has been a lot of demand for deep learning models that can operate on a constrained device. When it comes to the task of object detection, EfficientDet is a well-known model.

The Ukrainian-Estonian company Farsight Vision has presented a major update to its neural network model for automated image analysis. The company told this to Militarnyi. The key feature of the new ...

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 ...

Oriented object detection in remote sensing imagery has emerged as a critical field of study, addressing the challenge of recognising and localising objects that appear at arbitrary angles in aerial ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Hardware-accelerated object detection for Raspberry Pi 5 using the AI HAT+ with Hailo-8 NPU. This project provides an inference pipeline for YOLOv11 (and related models) on video streams (MP4 and RTSP ...

The 52Pi UPS Gen 6 is another UPS solution for the Raspberry Pi 5 that supports external battery packs for long-duration projects, and uses I²C plus PikaPython scripting to manage power settings and ...

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 ...

What if you could build your own high-performance, scalable data storage solution for a fraction of the cost of commercial options? Imagine a sleek, compact system with swappable drives, RAID 5 ...

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 # ...