Abstract: In previous work, a methodology was proposed to obtain a sea surface object detection model based on the FasterR-CNN architecture using Sperry Marine commercial navigation radar images.

Abstract: Traffic surveillance is a key factor in ITS whereby accurate and real-time object detection assures improvement of road safety and traffic management. This paper advances a ...

I have created a new repository of improvements of YOLO3D wrapped in pytorch lightning and more various object detector backbones, currently on development. Please check ruhyadi/yolo3d-lightning.

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...

Orbbec presented industrial-grade 3D cameras for challenging automation scenarios, as well as AI integration for enhanced ...

Deploy powerful computer vision instantly. Meet CamThink NeoEyes NE503: a 20 TOPS 4K Edge AI camera featuring open-source ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...