Computer vision in farsi

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In recent times, computer vision has been considered cutting-edge technology in India.
Computer vision is becoming increasingly important in various industries, including:

In 2015, Seguí et al. [ 10] developed and validated the Computer Vision Syndrome Questionnaire (CVS-Q © ) to evaluate visual and ocular symptoms related to VDT use at work in Spanish population.
This questionnaire with good psychometric properties is an acceptable tool to be used both in clinical practice and clinical research settings.

Traditional approaches to computer vision have been replaced by the end to end learning solutions introduced by deep learning and subsequently, neural networks.
Traditional methods to computer vision require a definition of feature structures and compositions defined before the feature extraction phase commenced.

The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities.
This article describes how the field of computer (and robot) vision has evolved, particularly over the past 20 years, and introduces its central methodological paradigms.