Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

A slithery reptile that had been missing for six months was recently captured inside an Oklahoma City mobile home park. The 8-foot albino golden child reticulated python, which had gone missing ...

Abstract: Edge detection finds a greater significance in image processing and computer vision, as many machine learning models require images as input data. Edge detection can be used to extract ...

We introduce YOGA, a deep learning based yet lightweight object detection model that can operate on low-end edge devices while still achieving competitive accuracy. The YOGA architecture consists of a ...

Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...

Abstract: With the increasing use of digital monitor technique, requirements for image interpolation have become more critical. Especially, the development of LCD screen sizes has grown up.