I’m afraid I’m in a techno-dweeby mood at this moment in time. My head is filled with thoughts that are bouncing around my noggin like demented ping pong balls. Speaking of which, do you remember my 12×12 ping pong ball display?
If so, then—as you may recall—the last thing I did with this bodacious beauty was to implement a Read More → "This One’s for the Techno-Dweebs"
Almost anyone involved in developing new products today wants those products to have an artificial intelligence (AI) component [for the purposes of this column we will take AI to embrace machine learning (ML) and deep learning (DL)]. The problem is that AI is still very new in the scheme of things—everyone has heard about it, almost everybody uses it, but relatively few people know how to … Read More → "One More Step on the Path to AIIE (AI-In-Everything)"
AI-based anomaly detection takes center stage in this week’s Fish Fry podcast! My guest is Rachel Johnson from MathWorks and we explore how AI can work in tandem with engineers to reduce the incidence of defects and optimize maintenance schedules and the steps involved in designing and deploying an AI-based anomaly detection system; from conceptualization and data gathering to deployment and integration.
… Read More → "AI-based Anomaly Detection: From Conceptualization to Integration"
The term “machine vision” refers to the technologies and processes by which machines extract, analyze, and interpret visual information from the physical world using sensors and computational algorithms. It enables machines to “see,” make decisions, and perform actions based on their visual inputs.
While 2D machine vision is great—I won’t hear a bad word said about 2D—it must be acknowledged … Read More → "Augmenting an Existing 2D CMOS Sensor to Provide 3D Depth Perception"
