How artificial intelligence is transforming meat processing
Why AI is essential in meat processing
The meat processing industry faces numerous challenges, including the need for precise cutting, quality control, labor shortages, and the demand for sustainability. AI addresses these challenges by automating complex tasks, ensuring consistency, and improving overall operational efficiency. Here are some key reasons why AI is becoming indispensable:
Example applications of AI in our solutions
These trends indicate a broad move towards leveraging AI to not only improve operational efficiencies but also to enhance sustainability and product quality across the meat processing industry.
Standardizing AI across Marel
Anton Heiðar Þórólfsson, AI team manager at Marel, emphasizes the importance of standardizing AI applications across the company: “Initially, various innovation teams independently developed AI solutions. Now, the AI team aims to unify these efforts to ensure consistent and efficient AI integration across all Marel solutions. This standardization helps us deliver reliable, high-performing solutions tailored to your needs.”
Anton also highlights our use of advanced imaging technologies: “We utilize x-ray and hyperspectral imaging to see beyond what people can see, processing this data with AI to enhance precision and insight in our operations.”
AI in primary cattle and pork processing
Many processors have asked how they can leverage AI in their operations. Pulkit Vijay, an Innovation Manager at Marel, shares: “We use AI in vision systems for different applications like grading, conformation, fat class, sex detection, back fat thickness, and primal lengths and widths. For primary cattle processing, we use AI to cross-check measurements and define areas for these measurements using deep learning technologies like Convolutional Neural Networks (CNN). Our AI models are trained with thousands of images to make accurate decisions and predictions, providing you with reliable and efficient processing.”
Digitalization and AI projects at Marel
Sander Haverkate, Team Lead Vision Engineering, adds: “We are working on various digitalization projects to provide better insights into process data, predictive maintenance, and process bottlenecks using AI. For example, we are developing cloud connections and integrating with AXIN for M-Line, where we see significant potential for AI solutions.”
The first AI features in a Marel machine for sale were implemented in the FleXicut in 2018. Since then, these features have continued to develop and expand. Marel solutions improve product quality and operational efficiency, and ensure more sustainable and profitable processing for your business. We focus on delivering the best technology to meet your needs and exceed your expectations.
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