Articles Tagged with ''Artificial Intelligence (AI)''

ROME—Automation firm Comau and aerospace supplier Leonardo S.p.A. are working together to develop self-adaptive robotic technology that can autonomously inspect helicopter blades up to 7 meters long.

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

Automation systems encompass various technologies beyond just robots, such as machine vision. Integrating machine vision with robots enhances automation capabilities. Advancements like 3D imaging, AI software, and industrial computing are driving new applications and efficiencies across industries.

Quality organizations are at the forefront of adopting AI in electronics manufacturing, addressing well-defined challenges that impact business efficiency. While traditional quality control methods like functional tests and visual inspection are common, AI's integration is revolutionizing these processes with advancements in machine vision and enhanced analytical capabilities.

Kitov.ai announces significant improvements to its flagship software platform with the introduction of version 2.7.

Automate 2024 is seeing record registrations, indicating a surge in automation growth in North America. Anticipated sales recovery in the latter half of 2024 spans industries like healthcare, construction, agriculture, and pharmaceuticals, driven by the recognition of automation's benefits in handling challenging tasks.

Aionic Digital announced the appointment of Eric Huiza as Global Chief Technology Officer (CTO).

Manufacturing requires testing every product. Force measurement ensures reliability. AI helps analyze data for streamlined quality control to prevent future failures.

Nikon IMBU has released AI Reconstruction, a 3D computed tomography (CT) reconstruction software solution powered by artificial intelligence that lifts the traditional trade-off between scan speed and image quality.

Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.