LUDRE DARK FIELD MACHINE VISION IMAGE PROCESSING LIGHT

TECHNICAL SPECIFICATIONS
Lighting Color: Green, 6000K
Illumination Angle: 25°
Illumination Tilt: 15°
Number of LEDs: 329
Input Voltage: 24 V
Input Current (15 µs): 0,70 A
Input Current (1 second): 0,44 A
Input Current (1 minute): 0,36 A
Input Current (continuous): 0,28 A
Housing Dimensions: Rmin= 13 cm, Rmax= 17.6 cm, h= 3.2 cm
Stable Voltage Operation: Yes
Diffuser Option: No

Dark field illumination is a specialized lighting technique used in image processing projects. In this method, light is directed at a specific angle to typically highlight features against a dark background. Dark field illumination can offer various advantages in specific applications. The text below describes the uses and advantages of dark field illumination in image processing projects:

1. Surface Defects and Contour Extraction: Dark field illumination is useful in image processing projects to highlight surface defects and emphasize features such as windows. It is ideal for detailed analysis in quality control applications.

2. Prominent Surface Details: This lighting technique brings out specific surface details in intervals, allowing for the analysis of particular features or patterns.

3. Surface Roughness and Structural Analysis: Dark field illumination, by emphasizing broken surface roughness, proves beneficial for durability analysis and material characterization applications.

4. High Contrast and Shadow Reduction: This technique is used to achieve high-contrast particles and more pronounced shadow scanning.

5. Controlled Light Direction: Dark field illumination provides controlled light direction, illuminating and highlighting from specific angles.

6. Analysis of Transparent and Reflective Surfaces: This lighting technique is effective in distortion analysis of transparent or reflective surfaces, replicating details on surfaces.

Dark field illumination can significantly reduce the limitations of traditional lighting techniques, particularly in applications where surface details are crucial and challenging for image processing machines.