Abstract: Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

Researchers introduced a novel method for fabricating functional flat-to-shape objects using a computer-controlled sewing machine. The team's method uses the sewing machine to stitch pockets between ...

Roblox announced Monday that it’s launching the first iteration of its 3D model, dubbed “Cube,” to allow creators to create 3D objects using generative AI. The company also launched an open source ...

This repository contains a Python script for performing object detection on images using the YOLOv5 model. The detected objects are saved to a PostgreSQL database, and the results can be visualized ...

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

Abstract: Object detection in complex traffic scenarios is crucial for Intelligent Transportation Systems (ITS). At present, most real-time traffic object detection methods primarily rely on ...

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, ...