LUDRE DARK FIELD LIGHT DF300 MACHINE VISION IMAGE PROCESSING LIGHT

TECHNICAL SPECIFICATIONS
Lighting Color: 4000K, 6000K
Lighting Angle: 30° 
Intensity Of Illumination: 15,36 k lm
Led Number: 64
Input Voltage: 24 V
Input Current (15 µs): 32 Amp 
Input Current (1 second):  16 Amp 
Input Current (1 minute):8 Amp 
Input Current (continuous):  5,6 Amp 
Dimensions: Rmin=51,2 cm, Rmax=62 cm, h=4,2 cm
At Constant Voltage Operation: None
Diffusor Option: None

Low Angle lighting is a specialized illumination technique used in image processing projects. In this technique, the light source is directed at a low angle towards the object, emphasizing shadows and surface details, providing specific advantages. Here is a text explaining the usage areas and advantages of Low Angle lighting in image processing projects:

1. Emphasis on Surface Topography: Low Angle lighting highlights the surface topography of objects, showcasing specific features, reliefs, and depressions more prominently.

2. Shadow Details and Contrast Enhancement: Light coming in at a low angle accentuates shadows and enhances surface details, allowing for better object delineation and increased contrast.

3. Detection of Surface Defects: Low Angle lighting aids in better detecting surface defects by emphasizing small cracks, scratches, or other imperfections on the object's surface.

4. Analysis of Heterogeneous Surfaces: This lighting technique is effective in analyzing objects with heterogeneous surfaces, bringing out different surface features and enhancing details.

5. Examination of Structural Features: Low Angle lighting is used to examine the structural features of an object in more detail. This is crucial in material characterization and structural analysis applications.

6. Highlighting Textures: This technique emphasizes the textures on the surface of objects, providing better visibility of objects with high contrast and distinct shadows.

Low Angle lighting contributes valuable insights to image processing projects by emphasizing important features such as surface details, shadows, and defects when employed in specific applications.

Photometric Stereo lighting techniques are used in specific areas of image processing projects, particularly for extracting the three-dimensional structure of surfaces. Here are common areas where Photometric Stereo illuminations are widely used:

1. Surface Topography and Modeling: Photometric Stereo illuminations are used to extract the surface topography and 3D model of an object. This allows for obtaining a detailed and accurate 3D model of the object.

2. Quality Control and Manufacturing: In industrial applications, Photometric Stereo illuminations are used to check the surface quality of products and analyze their three-dimensional structures. For example, it is effective in detecting cracks or roughness on metal surfaces.

3. Medical Imaging and Analysis: In the medical field, Photometric Stereo illuminations are used to examine the surface properties and 3D structures of biological tissues. This is crucial for surgical planning, organ modeling, and medical image analysis.

4. Face Recognition and Biometric Applications: Photometric Stereo can be utilized in face recognition and biometric applications to emphasize surface details and enhance accurate recognition.

5. Virtual Reality and Augmented Reality: Photometric Stereo illuminations are used in Virtual Reality (VR) and Augmented Reality (AR) applications to make objects appear more realistic and detailed.

6. Archaeology and Cultural Heritage: In archaeological excavations and cultural heritage projects, Photometric Stereo illuminations are used to enhance surface features of ancient objects and conduct detailed analysis.

7. Mapping and Geodetic Applications: Photometric Stereo can be used in topographic mapping and geodetic applications to highlight surface details.

Photometric Stereo illuminations, especially using light sources from different angles and intensities on the object's surface, serve as a powerful tool for creating detailed and accurate 3D models.