The AkuMonit project at the August-Wilhelm Scheer Institute (AWSi) is developing an intelligent, acoustics-based monitoring system for livestock facilities. By using artificial intelligence, it enables continuous monitoring of animal sounds to improve animal welfare and increase operational safety. The system detects abnormalities in animal behavior or health at an early stage, allowing farmers to take proactive measures. AkuMonit thus contributes to more sustainable and efficient animal husbandry.
With AkuMonit, the August Wilhelm Scheer Institute is developing an innovative, acoustic-based monitoring system to improve animal welfare in fish farming. The system uses artificial intelligence to analyze underwater noise in real time and provide early indications of stress, disease, or abnormal fish behavior.
In aquaculture, changes in animal behavior are difficult to detect. AkuMonit supports operators in continuously and contactlessly monitoring animal welfare – efficiently, automatically, and data-driven.
"With AkuMonit, we're bringing digital innovation directly into the water – for improved animal welfare, better monitoring, and more sustainable fish farming," explains Laura Bies, Lab Lead of the Smart Quality Lab at the August Wilhelm Scheer Institute. "The project demonstrates how acoustic monitoring systems and AI can be used specifically in animal husbandry facilities." The system uses sensitive microphones that continuously record underwater sounds. An AI-supported model analyzes these acoustic signals, detects deviations, and provides automated advice for optimizing feeding, husbandry, and health.
AkuMonit is another milestone in the institute's GreenTech initiative and shows how digital technologies can specifically contribute to the ecological transformation of aquaculture.
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