Convolutional neural networks (CNNs) are a term used in the fields of artificial intelligence, big data, smart data and digital transformation. They are among the most important technologies when it comes to analysing and processing images and videos.
Think of Convolutional Neural Networks as a digital eye that learns to recognise patterns. CNNs consist of many small filters that go through image data layer by layer. They look for simple structures such as lines or edges and then assemble these bit by bit into increasingly complex features until the network can distinguish between a dog and a cat, for example.
A practical example: In a factory's quality control department, cameras can use CNNs to immediately recognise and reject faulty products without the need for a person to check each product individually. This saves time and money and increases productivity.
Overall, convolutional neural networks help companies to quickly and reliably analyse large amounts of data from images or videos and thus automate processes or develop new digital business models.
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