Automated rip current detection with region based convolutional neural networks
This paper presents a machine learning approach for the automatic identification of rip
currents with breaking waves. Rip currents are dangerous fast moving currents of water that …
currents with breaking waves. Rip currents are dangerous fast moving currents of water that …
Real-Time Multiple Object Detection Using Raspberry Pi and Tiny-ML Approach
Introduction Object detection has been an essential task in computer vision for decades, and
modern developments in computer vision and deep learning have greatly increased the …
modern developments in computer vision and deep learning have greatly increased the …
Advancement in object tracking models and techniques
Object tracking is a vital component of various applications. It plays a significant role in
various applications such as machine vision, object/face recognition, and classification. This …
various applications such as machine vision, object/face recognition, and classification. This …
Real time multiple-object detection based on enhanced ssd
Object detection and recognition are widely employed in a variety of computer vision
applications, and numerous techniques have been suggested in the literature. Object …
applications, and numerous techniques have been suggested in the literature. Object …
A Framework for Open World Object Detection
Abstract Open World Object Detection (OWOD) is a computer vision task that focuses on real-
world scenarios where object detection algorithms need to not only detect known and …
world scenarios where object detection algorithms need to not only detect known and …
[PDF][PDF] ScenARy: Scene Awareness in HMD-assisted Multi-Machine Scenarios
A Steiner - 2023 - scholar.archive.org
Global competition within the manufacturing sector nowadays is forcing more and more
companies to implement modern, innovative technologies into their factories. Technologies …
companies to implement modern, innovative technologies into their factories. Technologies …