Google Launches 'Visual Inspection AI' For Product Manufacturers
Niko Pajkovic — September 7, 2021 — Tech
References: cloud.google & techrepublic
Google Cloud has launched 'Visual Inspection AI,' its latest B2B Internet-of-Things (IoT) development. The dynamic new tool is designed to help manufacturers, consumer packaged goods companies, and other commercial businesses cut costs, reduce product defects, and improve quality control.
The new tool builds on AutoML, Google Cloud's signature AI product that companies worldwide use to assist with quality control operations. Utilizing Google Cloud's innovative computer vision technology, 'Visual Inspection AI' is intended to help companies cut inspection costs by locating product defects early in the production process. In doing so, the tool can work to increase yields, reduce rework, and cut product returns and repair costs.
Setting it apart from other AI inspection tools, Google Cloud's requires no expertise in computer vision or AI subject matter. It also increases in accuracy over time as it is exposed to more products and only requires 10 human-labeled images to build accurate models.
"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," said Kevin Prouty, the group vice president at IDC.
Image Credit: Shutterstock
The new tool builds on AutoML, Google Cloud's signature AI product that companies worldwide use to assist with quality control operations. Utilizing Google Cloud's innovative computer vision technology, 'Visual Inspection AI' is intended to help companies cut inspection costs by locating product defects early in the production process. In doing so, the tool can work to increase yields, reduce rework, and cut product returns and repair costs.
Setting it apart from other AI inspection tools, Google Cloud's requires no expertise in computer vision or AI subject matter. It also increases in accuracy over time as it is exposed to more products and only requires 10 human-labeled images to build accurate models.
"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," said Kevin Prouty, the group vice president at IDC.
Image Credit: Shutterstock
Trend Themes
1. Visual Inspection AI - The use of Google's Visual Inspection AI tool can revolutionize quality control processes in manufacturing and other commercial businesses.
2. Computer Vision Technology - The application of computer vision technology in defect detection can significantly reduce costs and improve yields in the manufacturing industry.
3. Artificial Intelligence (AI) for Quality Control - The integration of AI in quality control operations of different industries can improve efficiency and reduce errors in product inspection.
Industry Implications
1. Manufacturing - Manufacturing companies can benefit from using Visual Inspection AI to reduce costs and improve quality control processes.
2. Consumer Packaged Goods - Google's Visual Inspection AI can help companies in the consumer packaged goods industry detect and address product defects earlier in the manufacturing process.
3. Technology - The development of innovative defect-detecting IoT systems like Visual Inspection AI can offer opportunities for technology companies to provide valuable software solutions to different industries.
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