The term multimodal fusion originates from the fields of artificial intelligence, big data, smart data and automation. It describes the ability of computers and systems to bring together information from different sources and in different forms in order to gain new insights.
Multimodal fusion means, for example, that a system can simultaneously analyse and combine not only texts, but also images, sounds, sensor values or videos. The aim is to obtain a more complete picture by linking these different data sources than with just one type of data.
An illustrative example is quality control in a modern factory: cameras check the colour and shape of a product, while sensors measure vibrations or temperatures. Multimodal fusion ensures that all this information is bundled together. This enables the system to recognise more precisely whether a product has defects because it identifies any problems more quickly and reliably.
Multimodal fusion therefore creates more intelligent and reliable systems. For companies and decision-makers, this means better analyses, more automation and more efficient processes, whether in industry, marketing or service.
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