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 ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

mcp_mysql_server_pro is not just about MySQL CRUD operations, but also includes database anomaly analysis capabilities and makes it easy for developers to extend with custom tools. get_db_health_index ...

Abstract: Dynamic object detection has been studied for several decades and continues to attract interest in various research fields. This paper reviews recent literature on dynamic object detection ...

Autonomous driving is the future trend. Accurate 3D object detection is a prerequisite for achieving autonomous driving. Currently, 3D object detection relies on three main sensors: monocular cameras, ...

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, ...

MySQL and PostgreSQL are two of the most used open source SQL databases, and both fulfill the role of a general-purpose database well. How do you choose which one to use for a project? Let's look at ...

Abstract: Real-time object detection in images is one of the most important areas in computer vision and finds applications in several fields, such as security systems, protection, independent ...