händelseigenkänning
Händelseigenkänning, often translated as event recognition or event detection, refers to the process of identifying and classifying specific occurrences or events within a stream of data. This data can originate from various sources, including sensors, logs, user interactions, or multimedia streams. The core objective is to distinguish meaningful patterns from background noise or irrelevant information.
The field of händelseigenkänning draws upon techniques from machine learning, pattern recognition, and signal processing. Common
Applications of händelseigenkänning are widespread. In surveillance systems, it can be used to detect suspicious activities