Which color of light source should be selected when dealing with different detection surfaces?
Source:Shenzhen Kai Mo Rui Electronic Technology Co. LTD2026-09-05
In practical applications, selecting the appropriate type of light source is akin to finding the key code for a detection task—and this choice largely depends on the unique characteristics of the surface and material being measured. For instance, red light, with its longer wavelength, typically penetrates deeper into objects; in contrast, blue-violet light, with its shorter wavelength, has a shallower penetration depth on the object’s surface. Differences in material properties can cause variations in the degree of light penetration, making it especially crucial to match the right type of light source to a specific application.
The Art of Matching Light Sources with Surface Materials
1. Dark-colored, dark-black surfaceSuch surfaces act like “black holes” for light, exhibiting a strong absorption capacity for red light. This significantly reduces the amount of light reflected back, thereby greatly increasing the difficulty of detection. Wiegler’s blue-light sensor, however, is precisely the solution tailor-made to tackle this challenge. Because blue light penetrates test objects only to a shallow depth, it can effectively avoid being overly absorbed, thus enabling more accurate detection.
2. Bright, luminous surfaceThese surfaces, resembling mirrors, tend to reflect light intensely, thereby causing interference and compromising the accuracy of detection. When dealing with such situations, blue-light sensors, thanks to their unique optical characteristics, emerge as a superior choice. Of course, in certain specific application scenarios, red-light sensors can also leverage their distinctive advantages.
3. Matte rough surfaceFor matte and rough surfaces, light seems to enter a disordered “labyrinth,” where scattering is extremely intense, making detection extremely challenging. At such times, red-light sensors demonstrate their exceptional adaptability. Despite the severe light scattering, thanks to their strong penetrating power, enough light still manages to return to the sensor, enabling effective object recognition.
4. Organic materialOrganic materials are like chameleons—ever-changing and exhibiting vastly different properties. Wiegler’s blue-light sensor, with its low absorption rate for blue light, excels in detecting organic materials and has become an invaluable tool in this field.
5. Different colored surfacesDifferent surface colors reflect light in ways that resemble unique “fingerprints,” each with its own distinct characteristics and effects. Thanks to their sensitive ability to detect color differences, red-light sensors have an inherent advantage in identifying objects of various colors, making them the ideal partner for this application scenario.
6. Hot surfaceThe scorching surface resembles a “red-light-emitting station,” emitting copious amounts of red light—undoubtedly adding significant challenges to detection. In contrast, blue lasers, with their shorter wavelengths and shallower penetration depths, prove to be an ideal choice for detecting hot objects, effectively sidestepping the interference caused by the red light emitted from the scorching surface.
7. Transparent surfaceTransparent materials act like “channels” for light, allowing most of the light to pass through directly while reflecting very little. In such circumstances, both red-light and blue-light sensors—thanks to their keen ability to detect even faint reflected light—can effectively perform the task of identifying transparent objects.
8. Inclined raised surfaceThese surfaces act like “scatterers” of light, reflecting light in various directions and significantly increasing the difficulty of accurate detection. With its precise light-capturing and analyzing capabilities, Wiegler’s blue-light sensor can detect these irregular surfaces more accurately, making it the ideal choice for tackling such challenges.
As can be seen from this, the appropriate type of light source is a key factor in ensuring the smooth completion of detection tasks.
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