{"id":1526,"date":"2024-03-07T10:44:00","date_gmt":"2024-03-07T09:44:00","guid":{"rendered":"https:\/\/web.aitalentum.com\/?p=1526"},"modified":"2025-11-26T08:14:00","modified_gmt":"2025-11-26T07:14:00","slug":"sof-ia-project-digital-fast-and-accurate-quality-control-in-the-food-industry","status":"publish","type":"post","link":"https:\/\/www.aitalentum.com\/en\/sof-ia-project-digital-fast-and-accurate-quality-control-in-the-food-industry\/","title":{"rendered":"SOF-IA PROJECT: DIGITAL, FAST AND ACCURATE QUALITY CONTROL IN THE FOOD INDUSTRY"},"content":{"rendered":"\n

SOF-IA<\/strong>\u00a0is a comprehensive digital solution designed to transform quality control in the food sector. By combining smart sensors, artificial intelligence algorithms, and a digital platform, it enables rapid, non-destructive, real-time analysis of by-products. This tool facilitates data-driven decision-making, improving efficiency, traceability, and sustainability in production processes, while providing key added value for the industry\u2019s competitiveness.<\/span><\/p>\n\n\n\n

A COMPLETE AND SCALABLE SOLUTION<\/strong><\/h2>\n\n\n\n

The system integrates portable NIR sensors, machine learning algorithms, and a centralized digital platform. The software developed by ISOTADER<\/strong> serves as the engine that powers this solution, managing data capture, processing, and visualization in a secure and efficient way.<\/p>\n\n\n\n

Its flexible design allows adaptation to different production processes within the fishing industry, paving the way for its adoption in other areas of the food industry \u2014 thus driving competitiveness and sustainability.<\/p>\n\n\n\n

KEY BENEFITS FOR THE INDUSTRY<\/strong><\/h3>\n\n\n\n
    \n
  • Rapid, non-destructive, real-time analysis.<\/li>\n\n\n\n
  • Greater traceability and transparency in processes.<\/li>\n\n\n\n
  • Optimization of by-product utilization, reducing waste.<\/li>\n\n\n\n
  • Lower environmental impact and progress toward a circular economy.<\/li>\n\n\n\n
  • Adaptability and scalability to meet different sector needs.<\/li>\n<\/ul>\n\n\n\n

    INNOVATION VALIDATED IN THE FISHING AND AQUACULTURE SECTORS<\/strong><\/h2>\n\n\n\n

    Although SOF-IA<\/strong> is designed as a versatile and adaptable solution for various subsectors of the food industry, its initial development and validation have focused on the fishing sector. The growing need to monitor the quality of by-products rich in high-value compounds, such as fish oils, has driven the creation of this tool\u2014capable of providing immediate, non-destructive results for key parameters such as lipid profile, acidity, peroxide index, and moisture content.<\/p>\n\n\n\n

    DIGITAL TRANSFORMATION WITH INSTITUTIONAL SUPPORT<\/strong><\/h2>\n\n\n\n

    SOF-IA<\/strong> represents a firm step toward the digitalization of quality control in the food industry, with a particular focus on the fishing sector. Supported by the Ministry of Science, Innovation and Universities<\/strong>, the project combines artificial intelligence, advanced technology, and public-private collaboration to boost competitiveness, sustainability, and efficiency in the industry.<\/p>\n\n\n\n

    Socios<\/td>Isotader (Coordinador), AZTI, Barna<\/td><\/tr>
    Duraci\u00f3n<\/td>2024-2027<\/td><\/tr>
    Financiaci\u00f3n<\/td>Proyecto CPP2023-010461 financiado por<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    SOF-IA\u00a0is a comprehensive digital solution designed to transform quality control in the food sector. By combining smart sensors, artificial intelligence algorithms, and a digital platform, it enables rapid, non-destructive, real-time analysis of by-products. This tool facilitates data-driven decision-making, improving efficiency, traceability, and sustainability in production processes, while providing key added value for the industry\u2019s competitiveness. […]<\/p>\n","protected":false},"author":1,"featured_media":1529,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1526","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria"],"yoast_head":"\nSOF-IA PROJECT: DIGITAL, FAST AND ACCURATE QUALITY CONTROL IN THE FOOD INDUSTRY - AITALENTUM<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.aitalentum.com\/en\/sof-ia-project-digital-fast-and-accurate-quality-control-in-the-food-industry\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SOF-IA PROJECT: DIGITAL, FAST AND ACCURATE QUALITY CONTROL IN THE FOOD INDUSTRY - AITALENTUM\" \/>\n<meta property=\"og:description\" content=\"SOF-IA\u00a0is a comprehensive digital solution designed to transform quality control in the food sector. 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