Case Studies of Visual Inspection for the Manufacturing Industry [Publication of Implementation Examples from Data Collection to Operation Methods]
A detailed case study collection of appearance inspection for the manufacturing industry explained by scene! A comprehensive release of successful implementation examples from data collection to operational methods!
The case study collection for the introduction of visual inspection in the manufacturing industry presents successful examples of visual inspection implementation, from data collection to operational methods, all at once. It includes examples of the use of "collaborative robots" for automotive products, industrial machinery, and foundry manufacturers, as well as detailed explanations of cases for chemical products, industrial chemicals, and additive manufacturers that achieved "50% reduction in inspection costs and one-sixth of the work time," categorized by scene. [Contents (partial)] ■ [Use Case] Automotive Products and Industrial Machinery Foundry Manufacturers: Collaborative Robots × AI ■ [Use Case] Industrial and Industrial Chemicals and Additives Manufacturers: Near-Infrared Cameras × AI ■ What can be inspected with AI? *For more details, please refer to the PDF document or feel free to contact us.
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【Other Published Content】 ■Features of Appearance Inspection Solutions ■Process After Inquiry ■FAQ *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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HACARUS is on a mission to build the next generation of tools for those shaping the future with its proprietary AI core - built to provide big insights from small data. Since 2014 it has helped companies solve problems in manufacturing, construction and infrastructure, among other industries. HACARUS is especially good at turning human expertise into digital instruments, to streamline operations and save on labor. By providing a full suite of services, from support of data acquisition to integration with existing systems, the company is committed to create a future where humans and AI coexist.