Smart energy control with artificial intelligence can be used in the food industry, among others, to increase the energy efficiency of production here.
Production processes, some of which are highly energy-intensive, can be made more sustainable thanks to machine learning technologies by monitoring and optimizing energy consumption in real time to cut energy costs and reduce CO2 emissions.
The AI technology can collect and analyze data from various sources such as energy consumption meters, production processes and environmental conditions, as well as identify patterns and trends in the data. Based on this data, decisions can then be made to optimize energy consumption.
For example, machinery and equipment can be set to run only when needed. Energy consumers that are operating inefficiently or consuming too much energy can also be identified for replacement or optimization, if necessary.
To obtain a higher energy efficiency.
Cost savings through the optimized use of energy.
Achieving sustainability goals.
With the AI solution ArtificialVet®, animal welfare indicators and slaughter findings are specified and standardized via exemplary camera images.
Our AI application BoxInspector® provides automated quality assurance through image recognition with optimal recognition performance.
The AI solution HookTracing® offers the visual identification of individual animals via camera images of the Eurohooks (DIN 250).
In our AI potential workshop, we identify concrete use cases for AI in your company.
LivestockGuardian: Our AI-powered sensor data analysis for automated and continuous high animal activity detection.
With the AI solution MeatVision, (disassembled) products in returnable transport packaging and EURO boxes are automatically recognized.
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