WASHINGTON—The U.S. Food & Drug Administration, Health Canada and the United Kingdom’s Medicines and Healthcare products Regulatory Agency have jointly identified 10 guiding principles that can help manufacturers build safe, effective and high-quality medical devices that enable artificial intelligence and machine learning.
Pleora's Visual Inspection System brings AI-based decision support to visual inspection and assembly processes. This interactive, on-demand demo will let you use the system to inspect an electronics board to spot product differences and generate automated reporting on manual inspection.
You've received a customer call on a Friday afternoon, "Our boards aren't working. Didn't your team test these? We have an urgent delivery and this quality is not assuring."
For products in the consumer, parts, food & beverage, and print & packaging markets, a significant portion of the manufacturing process still relies on manual tasks performed by human operators.
Many people are afraid of snakes and spiders. But, robots and other machines also create anxiety and trepidation in some humans. While Industry 4.0 technology, such as artificial intelligence, augmented reality, collaborative robots, data analytics and digital twins, now make it easier than ever for humans and machines to work in close proximity, fears persist.
Join our live webinar and learn how manufacturers are relying on new AI visual inspection tools to reduce costs, increase efficiencies, and ensure end-to-end quality.
Register for this on-demand webinar for a quick overview on how an electronics manufacturer is using visual inspection and AI to improve end-to-end quality.
