The Google Cloud in 2019, identified six sectors contributing to its growth. These are public, healthcare, financial services, retail, media, businesses, and manufacturing. The cost of quality control and inspection continues to be high in the manufacturing sector. With increasing demand, it is difficult for humans to inspect the defects in computer chips and other products manually. To tackle this problem Google Cloud has announced visual inspection AI.

In 2019, Google Cloud identified six sectors as vital components of its growth: public, healthcare, financial services, retail, media, and manufacturing. Within manufacturing, the cost of quality control and inspection continues to be among the highest. The American Society for Quality estimates that the price of quality may be as high as 15 to 20 percent of annual sales revenues for many organisations. Additionally, the rapid increase in production volumes makes it difficult for humans to manually inspect defects in computer chips and other products. To combat this, Google Cloud has recently announced an approach, backed by artificial intelligence (AI), for visual inspection.

… to general-purpose machine learning (ML) models, such as superior computer vision technology, shorter time-to-value and high scalability. Through …

Google Cloud announced Tuesday the launched Visual Inspection AI, a new purpose-built tool to help manufacturers, consumer packaged goods companies and other businesses reduce product defects and quality control cut costs. Visual Inspection AI builds on Google Cloud's general purpose AI product, AutoML, which has been used for years in quality control operations. According to the American Society for Quality, product defects cost manufacturers billions of dollars annually. "Google Cloud's approach to visual inspection is the roadmap most manufacturing companies are looking for," Kevin Prouty, group vice president at IDC, said in the Google press release. "Manufacturers want flexibility, scale, inherent edge-to-cloud capabilities, access to both real-time and historical data, and ease of use and maintainability. Google is one of those companies that has the potential to bring together IT, OT and an ecosystem of partners that manufacturers need to deploy AI on the shop floor at scale."

Google launched Visual Inspection AI, a new service to identify production defects in manufacturing units. The service uses the state-of-the-art computer vision models developed by the AI research teams at Google. Vertex AI AutoML Vision, an integral part of the managed AI platform, delivers similar capabilities. Customers can upload images and classify them based on labels before initiating a training job. AutoML Vision generates a fully-trained model hosted in the cloud or deployed at the edge for performing inference. Visual Inspection AI takes AutoML Vision to the next level through its domain knowledge of the manufacturing industry.

Google Cloud has launched a new artificial intelligence (AI)-driven tool to help businesses streamline their manufacturing and inspection process. Named Visual Inspection AI, the new solution will allow businesses in the manufacturing sector to maximize operational savings by quickly training and deploying AI models to detect production defects. "We've been listening to the specific needs of the industry, and have brought the best of Google AI technologies to help address those needs," said Mandeep Waraich, Head of Product for Industrial AI at Google Cloud. "The outcome is an AI solution that, built upon years of computer vision expertize, is purpose-built to solve quality control problems for nearly any type of discrete manufacturing process." With the launch of its new tool, Google has reaffirmed that it is betting big on AI to help take its cloud computing business to the next level.

Google today announced the launch of Visual Inspection AI, a new Google Cloud Platform (GCP) solution designed to help manufacturers, consumer packaged goods companies, and other businesses reduce defects during the manufacturing and inspection process. Google says it's the first dedicated GCP service for manufacturers, representing a doubling down on the vertical. It's estimated that defects cost manufacturers billions of dollars every year -- in fact, quality-related costs can consume 15% to 20% of sales revenue. Twenty-three percent of all unplanned downtime in manufacturing is the result of human error compared with rates as low as 9 percent in other sectors, according to a Vanson Bourne study. The $327.6 million Mars Climate Orbiter spacecraft was destroyed because of a failure to properly convert between units of measurement, and one pharma company reported a misunderstanding that resulted in an alert ticket being overridden, which cost four days on the production line at £200,000 ($253,946) per day.