• Feature Point Extraction :

  First, distinctive points or patterns are extracted from the image or video.
  These feature points represent important parts of objects or structures.

• Feature Point Matching :

  The extracted feature points are then matched with the feature points of other images, resulting in alignment between the images.

• Transformation Calculation :

  Based on the matching results of feature points, transformation matrices between the images are calculated.
  These transformation matrices are used to accurately position and align the images.

• Image Inspection and Analysis :

  With the aligned images, desired inspection or analysis tasks are carried out. Working with aligned images ensures precise results.

This technology is particularly crucial in the manufacturing industry. For instance, in assembly lines, when various components need to be precisely positioned, Vision Alignment technology can be used to align and inspect the components.

Furthermore, image alignment is also vital in the field of healthcare.

For example, accurately aligning MRI or CT scan images assists doctors in making precise diagnoses.

Vision Alignment technology plays a highly significant role in achieving accurate image processing and analysis.