What is computer vision in artificial intelligence?

Asked 02-Mar-2018
Updated 15-Jun-2023
Viewed 1128 times

2 Answers


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Computer vision is a subfield of artificial intelligence (AI) that focuses on enabling computers to interpret and understand visual information from images or videos. It involves the development of algorithms and techniques that enable machines to analyze, process, and extract meaningful information from visual data, mimicking human vision capabilities.

Computer vision algorithms employ various techniques, such as image recognition, object detection, image segmentation, and image classification, to enable computers to perceive and comprehend visual data. These algorithms can be trained using machine learning techniques, such as deep learning, to automatically learn and recognize patterns, features, and objects in images or videos.

Applications of computer vision in AI are vast and diverse. It finds applications in areas such as autonomous vehicles, surveillance systems, medical imaging, robotics, augmented reality, facial recognition, quality control in manufacturing, and many more. By leveraging computer vision, an integral component of Artificial Intelligence, AI systems can process and understand visual data, thereby enabling them to perform tasks that traditionally rely on human visual perception and interpretation. If you aspire to pursue a career in Artificial Intelligence, exploring an Artificial Intelligence program in Indore can be an excellent choice.

 


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Computer Vision, basically, seeks to automate the tasks that the human visual system does. It is an interdisciplinary scientific field that deals with how computers can be made to gain high level understanding from digital images or videos.

Computer vision tasks include methods for acquiring, processing, analyzing and thus understanding the digital images. It also includes the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information. Understanding, here, means extraction of information from image data using various models created using geometry, physics, statistics and learning theory.

There are various sub fields under the umbrella of computer vision. Some of them are as follows:

  • Object recognition
  • Face recognition
  • Pattern recognition
  • Vehicle plate recognition
  • Vehicle speed measurement
  • Auto pilot or auto driving

There are various methods to write a code in computer vision. In Python, for instance, the two most commonly used libraries are : 

  • TensorFlow
  • OpenCV

The sub technologies that is used in computer vision are as follows:

  • HAAR Cascade and LPBH
  • Neural Networks

What is computer vision in artificial intelligence?

What is computer vision in artificial intelligence?