Google Cloud Launches Visual Inspection AI
Visual Inspection AI operates across various industries and uses cases, potentially saving manufacturers millions of dollars at each facility.
FREMONT, CA: Google Cloud launches Visual Inspection AI, a new purpose-built solution designed to assist manufacturers, consumer packaged goods companies, and other businesses worldwide in reducing defects and achieving significant operational savings during the manufacturing and inspection processes.
Visual Inspection AI can build accurate models with up to 300 times fewer human-labeled images than general-purpose ML platforms based on pilots run by Google Cloud customers. This enables the solution to be quickly and easily deployed in any manufacturing environment. Additionally, customers of Visual Inspection AI increased accuracy in production trials by up to tenfold compared to general-purpose machine learning approaches. Additionally, unlike competing solutions that rely solely on anomaly detection, Visual Inspection AI's deep learning architecture enables customers to train models that detect, classify, and precisely locate multiple defect types within a single image.
“AI has proven to be particularly beneficial in helping to automate the visual quality control process for manufacturers—a particular pain point felt by the industry. We’ve been delighted by the strong interest in Visual Inspection AI, and we look forward to supporting more organizations as they continue to find innovative new ways to deploy AI at scale,” says Dominik Wee, Managing Director Manufacturing and Industrial at Google Cloud.
“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. The outcome is an AI solution that, built upon years of computer vision expertise, is purpose-built to solve quality control problems for nearly any type of discrete manufacturing process,” says Mandeep Waraich, Head of Product for Industrial AI at Google Cloud.
Features of Google Cloud Visual Inspection AI:
- No particular expertise is needed
- Engineers can quickly start building more accurate models
- Full edge-to-cloud capability
- Issues are resolved faster
“Google Cloud’s approach to visual inspection is the roadmap most manufacturing companies are looking for. Manufacturers want flexibility, scale, inherent edge-to-cloud capabilities, access to both real-time and historical data, and ease of use and maintainability”, says Kevin Prouty, Group Vice President at IDC. “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.”
Visual Inspection AI Can Be Used in a Wide Variety of Situations:
- Automotive manufacturers
- Electronics manufacturing services (EMS)
Semiconductor production
