As a key industrial equipment, the welding quality of pressure vessels is directly related to the operation safety, and X-ray nondestructive testing is an important means to evaluate the weld quality.

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

ABSTRACT: Road transport is currently one of the most important sectors affecting sustainable development and the improvement of the population’s standard of living. In some sub-Saharan African ...

TensorRT inference (Python and C++) for Chinese single-line and double-line license plate detection and recognition. Optimized for Jetson Nano. 车牌检测 ...

Abstract: The steel industry is the bedrock of the national economy, and the inspection of surface defects in steel plate surface significantly impacts steel production efficiency and product quality.

Abstract: Moving Vehicle Detection with Real-Time Speed Estimation and Number Plate Detection using OpenCV and YOLO is a system that can be used to automatically detect vehicles in a video stream, ...

In the practical application scenarios of USVs, it is necessary to identify a vessel in order to accomplish tasks. Considering the sensors equipped on the USV, visible images provide the fastest and ...

The continuous development of deep learning improves target detection technology day by day. The current research focuses on improving the accuracy of target detection technology, resulting in the ...