Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine ...

Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...

Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

As labor shortages persist and machine shops seek productivity plus flexibility, CNC machine tending is evolving into ...

Ceramic materials are renowned for their hardness and high-temperature resistance, making them indispensable in fields such as aerospace, electronics, and biomedical devices. However, these properties ...

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.

Machine vision for defect detection and recognition has evolved from classical image‐processing workflows—such as thresholding, edge detection and template matching—to sophisticated deep learning ...

The common engineering ceramic materials can be identified as Aluminium Oxide (Alumina), Silicon Carbide, Silicon Nitride, Sialon and Zirconia. These materials are classified as “Engineering” or ...