2025-05-08
Core Components of Laser Displacement Sensors: Keys to Precise Measurement
In industrial automation and intelligent equipment, laser displacement sensors are favored for high-precision, non-contact measurement. Their performance relies on the coordinated work of several core components. Below are the main elements explained.
Laser emission unit
The laser emission unit is the sensor's light source, typically composed of a laser diode and a collimating optical system. Semiconductor lasers are commonly used for their compact size, low power consumption and cost effectiveness. The collimating optics produce a highly directional, parallel beam to accurately illuminate the target.
Optical receiving unit
The optical receiving unit collects reflected light and converts it to an electrical signal. It includes collecting optics and a photodetector such as an avalanche photodiode (APD). Well designed optics maximize collected light, while sensitive detectors convert weak signals into usable electrical outputs.
Signal processing unit
The signal processing unit digitizes and analyzes detector outputs. It typically contains an ADC and a DSP or MCU to filter, amplify and compute distance or displacement from the measured signals. Accurate algorithms and stable processing are essential for precision measurement.
Angle measurement unit (in some sensor types)
Some triangulation-based sensors include imaging elements or angle measurement components. By detecting the position of a laser spot on an imager (CCD or CMOS) and applying known geometry, the system computes distance or angular changes.
Mechanical structure and packaging
Mechanical components ensure stable alignment of optical parts and protect internals from dust, moisture and vibration. Robust packaging extends service life and preserves measurement stability.
Together, these components enable laser displacement sensors to deliver precise measurement in industrial, research and intelligent equipment applications. Ongoing advances in optics, detectors and signal processing will further improve sensor performance and broaden application scenarios.
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