Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...

OpenCV-Python supports all the leading platforms like Mac OS, Linux, and Windows. It can be installed in either of the following ways: 1. From pre-built binaries and source : Please refer to the ...

Abstract This paper investigates the influence of ultraviolet (UV) lighting configurations on the automatic detection of Regions of Interest (ROIs) and the visual identification of surface defects in ...

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as normal ...

Every year in India, the automobile sector is achieving new milestones, but with the increase of vehicles on the road there comes a serious problem of road accidents and road rage. Due to some common ...

The key contributions of this work are: 1) The steel plate defect dataset is masked using Run-Length encoding, and the defect detection model is segmented using multi-scale feature fusion. 2) Based on ...