The Maha Kumbh Mela 2025 witnessed an unprecedented footfall of 650 Million visitors in Prayagraj, making it the largest religious gathering on the planet. Managing such a vast influx of people while ...

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 ...

Strip steel is a significant steel product, that is widely used as a raw material in construction, automobile manufacturing, electric power equipment, shipbuilding and other fields 1. During the ...

A bridge disease identification approach based on an enhanced YOLO v3 algorithm is suggested to increase the accuracy of apparent disease detection of concrete bridges under complex backgrounds. First ...

1 Automotive Research Association of India (ARAI) Academy, Pune, India. 2 Automotive Research Association of India (ARAI), Pune, India. The introduction of machine learning (ML) in the research domain ...

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 ...

This component is a direct port of the HASS-Deepstack-object component by Robin Cole. This component provides AI-based Object Detection capabilities using CodeProject.AI Server. CodeProject.AI Server ...

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 ...

The main objective is the problem is to be able to extract the license plate number from the given image using deep learning based and classical algorithms. character-recog : used for training ...