The pig farming sector is of great importance in Aragón. However, it remains technologically outdated, mainly due to the small size of most livestock farms and their lack of resources. This highlights the need to enhance its competitiveness by improving animal health standards and farm productivity
The TWINDPIG project aims to create a digital twin of the animal in the industrial sector, enabling the optimization of all key factors affecting animal welfare, product quality, and farm productivity.
To achieve this, techniques will be developed to allow individual traceability of pigs in the meat industry. This will be done using identification technologies to measure individual tissue composition, weight, anomalies, condemnations, and health conditions. The collected data will then be analyzed using artificial intelligence, enabling the development of an improvement plan.
The project also aims to research and improve pig health by detecting lung lesions in red organs at the slaughterhouse through the development of a computer vision system.
TWINDPIG will develop a tool that enables the optimal cutting and classification of carcasses to meet market demand both in the short and long term. This will help create a robust optimization model capable of automatically generating daily production plans and identifying cutting patterns that enhance industry profitability.
With the goal of optimizing the cutting process in the plant, the project aims to improve and innovate the labeling assurance system in packaging through the use of computer vision and artificial intelligence.
TWINDPIG is led by the Aragonese Food Cluster (Asociación Aragón Innovalimen) with the participation of NAGRIFOOD as the second cluster. It also includes the participation of the company The Pink Pig, dedicated to pig cutting within the Grupo Jorge production chain, the technology company IA Sapiens, with deep knowledge of exponential technologies (AI, Big Data, IoT), and the technology company Inndeo, manufacturer of computer vision equipment specialized in computer vision. The Clusters will disseminate the technology and the results obtained to their associates with similar problems.
This project has received support from the Ministry of Industry, Trade, and Tourism, within the framework of the Recovery, Transformation, and Resilience Plan, in the 2023 call for grants for Innovative Business Clusters, with the aim of improving the competitiveness of small and medium-sized enterprises.
