The detector views the illuminated target from a known angle relative to the projected beam. As the target’s distance changes, the reflected spot shifts to a different position in the detector’s image. The sensor uses this geometric relationship, rather than physical contact, to calculate range and support measurements such as height, thickness, or surface position.
Target reflectivity, surface texture, alignment, and measurement range directly affect performance. Reflectivity and texture influence how the reflected beam appears to the detector, while alignment affects the expected optical geometry. Operating within the intended range and maintaining suitable alignment helps the sensor produce more reliable dimensional and surface-profile measurements.
The detector angle establishes the geometric relationship needed to interpret the reflected spot’s position. Without a known angle, a shift in the image would not provide a defined basis for calculating range. This arrangement allows the sensor to distinguish changes in target position and convert them into dimensional information for engineering inspection and control.
A measurement begins by directing a laser or LED beam toward the target. The reflected light is then collected by a detector positioned at a known angle. The system determines where the target image appears on the detector and uses that position within the optical geometry to calculate the target’s range or surface location.
The sensor can provide noncontact measurements of distance, height, thickness, and surface profile. Because it measures without touching the object, it can examine dimensions rapidly while the target remains part of an automated process. These capabilities support dimensional inspection, machine vision, manufacturing quality control, and three-dimensional scanning.
They are useful when equipment must measure position or dimensions quickly without contacting the target. Robotics can use the range information for automated control, while manufacturing systems can apply it to quality control and dimensional inspection. Surface-profile measurements also make the technique relevant to machine vision and 3D scanning applications.