Dear Wisam Mohammed Abed Alqaraghuli ,

Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.

Computer vision is a technology which enables computers, smart phones, and other digital devices to identify objects visually. Artificial Intelligence and Machine Learning technologies are the base for computer vision technology. It has multiple use cases like medical imaging, autonomous vehicle, agriculture etc. Computer vision technology will be evolving continuously and helping our society to grow. On the other side, concerns are also being raised about the data privacy, confidentiality and misuse of personal user data. So, it is our responsibility to use computer vision in a proper way and protect our data.

https://www.techopedia.com/the-role-of-ai-in-computer-vision

Regards,

Shafagat

Computer vision is one of the fields of artificial intelligence that trains and enables computers to understand the visual world. Computers can use digital images and deep learning models to accurately identify and classify objects and react to them.

Computer vision in AI is dedicated to the development of automated systems that can interpret visual data (such as photographs or motion pictures) in the same manner as people do. The idea behind computer vision is to instruct computers to interpret and comprehend images on a pixel-by-pixel basis

To further read the basic about computer vision, you can refer to

https://www.simplilearn.com/computer-vision-article

Computer vision in AI is used to enable machines to interpret and understand the visual world. It allows computers to automatically extract, analyze, and understand useful information from digital images or videos. Some common applications of computer vision in AI include:

1. Object Recognition: Identifying and classifying objects within an image or video.

2. Image Classification: Categorizing images into different classes or categories.

3. Object Detection: Locating and identifying multiple objects within an image or video.

4. Image Segmentation: Dividing an image into meaningful segments for analysis.

5. Facial Recognition: Identifying and verifying individuals based on their facial features.

6. Optical Character Recognition (OCR): Recognizing and extracting text from images.

7. Gesture Recognition: Interpreting hand or body movements as commands.

Computer vision plays a crucial role in various fields such as autonomous vehicles, medical imaging, surveillance, augmented reality, and industrial automation, among others. It enables machines to "see" and understand the visual world, leading to a wide range of practical applications and advancements in AI technology.