This work introduces a versatile framework designed to facilitate the teaching of complex subjects. It uses artificial intelligence (AI) applied in computer ...
YOLOv4 begins by resizing the input image to a 640 × 640 pixel resolution, a task accomplished by the OpenCV library. The image is then introduced into the ...
Implementing and deploying advanced technologies are principal in improving manufacturing processes, signifying a transformative stride in the ...
Oct 22, 2024 · By guiding students through a hands-on project, they will learn how to effectively utilize a dataset, train an object detection model, and ...
Jun 12, 2024 · Arturo Molina's Post · Learning manufacturing computer vision systems using tiny YOLOv4 · Explore topics · See more related content · Welcome back.
Apr 26, 2022 · We propose a construction machinery and material target detection algorithm incorporating an attention mechanism (AM) to improve YOLOv4-Tiny.
This paper proposes a contactless monitoring framework with machine vision to realize real-time production/assembly process monitoring and repetition counting.
In this paper, a lightweight object detection model is proposed for the detection of four types of wood defects based on the YOLOv4-Tiny architecture.
May 4, 2024 · In this study, the YOLO v4 algorithm is used to establish the relationship between object and unsafe motion for real-time unsafe behaviour ...
Oct 22, 2024 · ... The YOLOv4 model is a deep learning framework that is widely used for real-time object detection in images and videos. Its advantages ...