Machine Vision Systems

Machine vision systems are classified based on the type of operation they perform. There are three types of machine vision systems:

1. 2D systems
2. 3D systems
3. Hyperspectral imaging systems.

2D Systems

2D systems are the most commonly used machine vision systems. They capture 2D images of an object or a scene and analyze them to extract necessary information. These systems are used in applications such as quality control, inspection, and object recognition. Examples of 2D systems include barcode readers, optical character recognition (OCR) systems, and facial recognition systems.

3D Systems

3D machine vision systems capture 3D images of objects or scenes, providing depth information in addition to color and texture. These systems are used in applications such as robot guidance, bin picking, and inspection of complex objects. Examples of 3D systems include stereo vision, structured light systems, and time-of-flight systems.

Hyperspectral Imaging Systems

Hyperspectral imaging systems capture images in many narrow spectral bands, providing detailed information about the spectral characteristics of objects. These systems are used in applications such as remote sensing, food inspection, and medical diagnosis.

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