Items Tagged with 'deep learning (DL)'

As a coffee enthusiast, I often rely on the energizing effects of caffeine to fuel my productivity, pushing through fatigue to get more done. Yet, I’ve learned that sacrificing sleep ultimately hinders my efficiency, and taking time to rest significantly boosts my performance.

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective implementation relies on precise lighting to ensure high-quality images, with different applications requiring specific setups, such as backlights for measurements and line scan lights for fast-moving materials.

Selecting the right lighting for machine vision is challenging, as achieving optimal contrast and consistent illumination is crucial for effective image processing. This article discusses the complexities of lighting design, including front versus backlighting and bright versus dark field illumination, and explores how LED technology and the lighting cube concept can streamline your vision system.

In March 2023, after a GPT model passed a biology exam, Bill Gates noted on his blog that AI could save lives and address climate change. If AI can tackle such significant challenges, it can also help with issues faced by manufacturers, metrologists, and quality control professionals. This article will examine the challenges metrologists encounter and highlight potential AI-driven solutions in the metrology value chain.

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.

Deep learning, a subset of machine learning, aims to mimic the learning process of the human brain. Learn how it improves through repetition and requires larger data sets and longer processing times to achieve reliable accuracy and sophistication.

Before discussing the trends, let’s lay some groundwork by discussing the market drivers for machine vision that ultimately power the trends.

Progress in machine vision processing is charted in major developments that prove significant staying power.