In 2022, the dominating segment for computer vision (CV) was quality assurance and inspection because of the rapid adoption of process automation in the manufacturing industry. One of the key benefits ...

Manufacturers of supplier parts or complete products are increasingly encountering strict requirements across various industries, including aerospace, transportation, tooling, foundry and casting.

Computer vision and machine learning (which I would unite using an umbrella term like "artificial intelligence") have impressive cross-industrial applications for quality control. Each sphere that ...

Computer vision has the ability to transform production and quality control and allow for greater efficiency and flexibility. While computer vision is implemented in the manufacturing and automation ...

Robots are capable of incredible feats well beyond human abilities: Guinness World Records recognizes the Fanuc Corporation’s M-2000iA/2300 Super Heavy Payload Robot as the world’s strongest, capable ...

Oxipital AI’s V-CortX uses 3D scans of real products to generate millions of AI training examples automatically, removing the need for thousands of manually annotated images that traditional vision ...

Business competition pressures manufacturers to produce faster, reduce expenses, and increase efficiencies. But all these requirements run into the quality control issue sooner or later — with the ...

AI-powered vision systems are revolutionizing manufacturing quality control with lower costs, faster deployment and greater flexibility compared to traditional legacy machine vision systems. But ...