"Traditionally, the functionality and condition of fire protection equipment is checked at regular intervals by qualified personnel. However, this process is time-consuming and error-prone. AI-based systems offer an innovative solution here. With the help of image processing and machine learning, these systems can independently analyse large amounts of data and detect the smallest deviations from the standard specifications. For example, cracks in fire protection coatings, corrosion on pipework or defective components on smoke detectors can be identified automatically.

In this interview, you will learn how AI-based systems can be integrated into existing processes. You will be given specific examples of the use of AI and learn how you can use this technology to sustainably imp ...