Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

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 ...

In this Project, important algorithms such as Canny Edge Detection, Harris Corner Detection, Segmentation, and Dehazing are utilized. These algorithms perform operations like detecting edges and ...

Abstract: The deep multi-view stereo (MVS) approaches generally construct a cost volume pyramid in a coarse- to- fine manner to regularize and regress the depth or disparity, which is often built upon ...

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.