Advancements in artificial intelligence-imaging analysis (IA) systems technology for comprehensive quality evaluation of pet food productshensive quality evaluation of pet food products

Advancements in artificial intelligence-imaging analysis (IA) systems technology for comprehensive quality evaluation of pet food productshensive quality evaluation of pet food products

Автор: Kumar Sharma R.

Журнал: Вестник Алматинского технологического университета @vestnik-atu

Рубрика: Технология пищевой и перерабатывающей промышленности

Статья в выпуске: 2 (144), 2024 года.

Бесплатный доступ

The increasing demand for high-quality pet food products and the need for strict safety standards have led to the exploration and development of technologies that can accurately and quickly assess the quality of these products. One such technology is Imaging Analysis (IA) systems, which offers automation, non-destructiveness, and costeffectiveness to meet these evolving requirements. Imaging Analysis (IA) systems electronically replicate human visual perception, enabling precise and efficient evaluation of images. Extensive research has highlighted its potential and demonstrated successful applications in examining and grading pet food products. This review paper introduces the fundamental components of computer vision systems, while also discussing their advantages and disadvantages. Additionally, it explores image processing techniques and provides a comprehensive analysis of recent advancements and potential applications in evaluating the quality of pet food products.

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Pet food, imaging analysis (ia) systems, quality assessment technologies, automation, image processing

Короткий адрес: https://sciup.org/140305873

IDR: 140305873   |   DOI: 10.48184/2304-568X-2024-2-103-111

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