La visión artificial que implica recopilar información de objetos en el espectro visible u otros espectros y analizar la información obtenida mediante pasos de procesamiento de imágenes puede evaluar la calidad de manera consistente durante un largo período, así como evaluar los parámetros de calidad internos y externos. Gracias a los avances en sensores (cámaras) de alta calidad para diferentes espectros, la potencia informática de las computadoras y la facilidad para desarrollar software para una aplicación específica, ha sido posible aplicar la visión artificial a muchos campos cubiertos en este libro.
Breve descrição
A visão computacional que envolve a coleta de informações de objetos no espectro visível ou outros espectros e a análise das informações obtidas por meio de etapas de processamento de imagens pode avaliar a qualidade de forma consistente por um longo período, bem como avaliar parâmetros de qualidade internos e externos. Graças aos avanços em sensores (câmeras) de alta qualidade para diferentes espectros, ao poder computacional dos computadores e à facilidade de desenvolvimento de software para uma aplicação específica, foi possível aplicar a visão computacional a muitos campos abordados neste livro.
Full description
Humans have always used their senses to assess the quality of products at the personal level or in the industry. For example, when buying fruit, people examine the fruit for the parameters they consider are important for assessing its quality such as colour, uniformity of colour, surface roughness, size, shape, surface defect. However, they are not able to assess internal damages or constituents of the fruit because their vision is limited to visible spectrum which is part of a vast electromagnetic spectra. Also, in industrial situations, assessment of objects can be affected by tiredness and fatigue of inspectors as well as different inspectors may assess the required quality parameters differently. Machine vision that involves collecting information from objects in visible or other spectra and analyzing the obtained information using image processing steps can assess the quality consistently over a long period as well as assess the internal and external quality parameters. With advances in high quality sensors (cameras) for different spectra, computing power of computers, and ease of developing software for a specific application, it has been possible to apply machine vision to many fields covered in this book.
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