sensoritöötlus

Sensoritöötlus, also known as sensor processing, refers to the methods and techniques used to extract meaningful information from raw sensor data. Sensors are devices that detect and respond to some type of input from the physical environment, such as light, heat, motion, moisture, or pressure. The raw data collected by these sensors is often noisy, incomplete, or in a format that is not directly usable for decision-making or further analysis. Sensoritöötlus aims to transform this raw data into a more refined and interpretable representation.

This process typically involves several stages. Initial stages often include data cleaning, where errors, outliers, and missing values are identified and handled. Filtering techniques are then applied to remove noise and enhance the relevant signals. Following cleaning and filtering, feature extraction may be performed to identify and select the most important characteristics of the data. For example, in image processing, features like edges or corners might be extracted. Finally, sensor data can be fused from multiple sensors to provide a more comprehensive and robust understanding of the environment, a process known as sensor fusion. Sensoritöötlus is a fundamental component in many applications, including robotics, autonomous systems, medical devices, environmental monitoring, and the Internet of Things.