• Image Capture :

  They use cameras or other sensors to collect images from the surrounding environment.

• Image Processing :

  The collected images are preprocessed to extract necessary information or remove noise.

• Feature Extraction :

  They identify important patterns or features in the images. For example, analyzing object boundaries, colors, shapes, etc.

• Object Recognition :

  Using the identified features from the images, they identify or classify objects, allowing robots to recognize objects in their surroundings.

• Position Tracking :

  They track the position of recognized objects and can follow moving objects.

Robot Vision finds applications in various industries.

For example, in manufacturing, it assists in tasks such as determining product defects or supporting robot operations on assembly lines. In the medical field,
it is used in applications like surgical robots and medical image processing. Additionally, it is utilized in autonomous vehicles to perceive road conditions and navigate.

This technology is implemented through the integration of various fields such as artificial intelligence, computer vision, and sensor technology.