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Nombre del autor:Marketing Specular Vision

How AI is used for classification of defects in OIT Systems?

Defect detection and classification with AI In industrial sectors, the presence of defective products is directly linked to several negative aspects, such as increased production costs, brand devaluation, compensation costs, among others. Therefore, one of the main priorities of any industry is to minimize the shipment of defective products. Many companies rely on ISR’s OIT

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Success case: OIT at the Automotive Interior Sector

In today’s competitive automotive market, the interior of a vehicle is a critical factor in shaping consumer preferences. Decorative components, such as glossy trim pieces and luxurious finishes, play a key role in enhancing the perception of quality within the car. Traditionally inspected manually, these parts now require a more advanced, automated solution to meet

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Production-Quality, financially driven: An industry view

Industry Production The industrial landscape is fiercely competitive, a well-known fact in any sector. This competition drives companies to meticulously control time and cost, especially in the realm of mass production. Industrial production refers to the process by which raw materials are transformed through a series of controlled manufacturing processes into products that are produced

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Key figures at the Steel Production Aesthetic Inspection

In the realm of steel production, ensuring the quality of every inch of material is a critical task. The demands for precision in detecting surface defects, such as rust, oxide, or edge imperfections, are stringent. The OIT Steel Inspector automates this complex process, providing an advanced solution for surface inspection. This article delves into the

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