For motion robots that use dynamic perception, state-of-the-art systems still struggle to simultaneously tackle various challenges, including high-speed motion blur, strong interactive occlusion, and ...

The rate of damage to tobacco leaves during harvesting serves as a critical performance indicator for tobacco leaf harvesters. Real-time monitoring of the damage rate for freshly harvested leaves can ...

Heat exchangers are important equipment in the industrial sector, and the technology for cleaning the fouling on their densely packed tube ports is rapidly evolving towards automation, efficiency, and ...

Abstract: The limited accuracy of small object detection significantly constrains the applicability of popular object detection methods within complex industrial contexts. Current research aims to ...

As the backbone of modern infrastructure, concrete structures serve as critical load-bearing elements in bridges, dams, and high-rise buildings worldwide. However, these essential components are ...

ABSTRACT: This study presents the development of a real-time chili sorting system that integrates deep learning techniques with ESP32-CAM hardware to automate the grading of chili peppers based on ...

This article is Part 2 of my object detection series, continuing from the InceptionV3-YOLO hybrid implementation in Part 1. After completing the first phase of this project, where I designed and ...

This project is built on the “People Detection (General)” dataset, publicly shared by Mohamed Traore on Roboflow Universe, and is licensed under Creative Commons Attribution 4.0 (CC BY 4.0). What that ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...