- Konbuyu başlatan
- #1
- 28 Tem 2021
- 23
- 0
- 1
- 29
Quality and yield are critical performance indicators for every business, whether it's manufacturing cars, semiconductor chips, telephones, or food and beverages. The greater operational and financial costs that result from reworked components and scrap generated when quality control is lacking in the production process. This has the effect of decreasing yield while increasing the amount of work in progress. According to the American Society for Quality, quality may cost as much as 15% of a company's annual sales revenue, or billions of dollars for larger companies, according to their research.
Introducing the new Visual Inspection AI solution from Google Cloud, built exclusively for the industry to handle this problem at production scale utilizing our best AI and computer vision capabilities.
Throughout the production process, the product is inspected visually for faults. This method may be time consuming and error-prone. Recent years have seen the introduction of visual inspection robots using rule-based algorithms. For this reason, it is not uncommon for manual inspections to be uneven. Because it must be programmed, traditional inspection equipment is rigid and unresponsive to product changes. Machine vision-based Container Loading Supervision can presently only discover a small number of problems.
Manufacturing has always been at the forefront of innovation since the days of mass production, whether via lean manufacturing, six sigma, or enterprise resource planning. Lean Manufacturing It's possible that artificial intelligence (AI) might speed up innovation in the future.
Before COVID-19, many manufacturers were in "pilot purgatory" with their AI and ML-based efforts since they didn't see enough return on their investments. In a survey conducted by Google Cloud, over 1,000 manufacturing executives from seven countries said they increasingly depend on digital enablers including data and analytics, cloud, and AI.
To automate visual inspection tasks, manufacturers may make use of the Google Cloud Visual Inspection AI service, which uses a collection of AI/computer vision technologies to automatically detect product faults. Engineers who aren't experts in artificial intelligence may use our Visual Inspection AI tool.
According to benchmarks from multiple Google Cloud customers, users of Visual Inspection AI boosted accuracy by up to 10x in production testing when compared with general-purpose machine learning algorithms. Ultra-high resolution images (up to 100M pixels) and computer vision technology, which Forrester rated as the best overall, are supported to discover even the tiniest errors.
Introducing the new Visual Inspection AI solution from Google Cloud, built exclusively for the industry to handle this problem at production scale utilizing our best AI and computer vision capabilities.
Throughout the production process, the product is inspected visually for faults. This method may be time consuming and error-prone. Recent years have seen the introduction of visual inspection robots using rule-based algorithms. For this reason, it is not uncommon for manual inspections to be uneven. Because it must be programmed, traditional inspection equipment is rigid and unresponsive to product changes. Machine vision-based Container Loading Supervision can presently only discover a small number of problems.
Manufacturing has always been at the forefront of innovation since the days of mass production, whether via lean manufacturing, six sigma, or enterprise resource planning. Lean Manufacturing It's possible that artificial intelligence (AI) might speed up innovation in the future.
Before COVID-19, many manufacturers were in "pilot purgatory" with their AI and ML-based efforts since they didn't see enough return on their investments. In a survey conducted by Google Cloud, over 1,000 manufacturing executives from seven countries said they increasingly depend on digital enablers including data and analytics, cloud, and AI.
To automate visual inspection tasks, manufacturers may make use of the Google Cloud Visual Inspection AI service, which uses a collection of AI/computer vision technologies to automatically detect product faults. Engineers who aren't experts in artificial intelligence may use our Visual Inspection AI tool.
According to benchmarks from multiple Google Cloud customers, users of Visual Inspection AI boosted accuracy by up to 10x in production testing when compared with general-purpose machine learning algorithms. Ultra-high resolution images (up to 100M pixels) and computer vision technology, which Forrester rated as the best overall, are supported to discover even the tiniest errors.