Sensors that combine specialized signal processing functions are called "smart sensors" or "smart sensors." This chapter discusses the concept of smart sensors. Sensor intelligence performs distributed signal processing at the lower layers of the sensing system hierarchy. The role of signal processing functions in smart sensors can be summarized as:
To enhance the inherent characteristics of the sensor device, signal enhancement is used to extract useful features of the object. The most common operations of reinforcement are feature compensation and suppression of unwanted variables on the measured effects. The goal of signal processing is to eliminate noise and make features clear. Signal processing technology mainly uses the dynamic response difference between signal and noise, which is divided into two different types, namely frequency domain processing and time domain processing. The most important role of sensor intelligence is to improve the signal selectivity of individual sensor devices in the physical world. This includes simple operations of outputs from multiple sensor devices extracted from primary features, such as primary image processing. The role of intelligence in the middle layer is to organize multiple outputs from the lower layer and produce intermediate outputs. The most important function is to extract the basic characteristics of the object. In the processing system of the middle layer, the output signals from multiple sensors are combined or integrated. The extracted features are then used by the upper intelligence to identify the situation. This processing takes place in the world of logic.
