Detecting the human face is a difficult problem that is faced by experts in the computer vision field. The main reason is because the human face is a dynamic object in which there is a high degree of variability as every face is different.
Computer vision impacts every aspect of our life whether it be a doctor’s visit, driving yourself to work, or using an Instagram filter on your smartphone. The pandemic and the rollout of 5G technology have been catalysts for the implementation of more computer vision technology, namely driverless cars and other IoT applications.
After the introduction of digital pictures in the 50s, computer scientists begged the question: can a computer analyzing a picture understand the world? Computer vision is a field of artificial intelligence (AI) which enables computers and systems to extract important information from digital pictures, videos, and other visual inputs. Computer vision then either takes actions from the data it has collected or gives suggestions on the basis of that data.
Computer vision is an area of artificial intelligence that deals with extracting and analyzing valuable information from images. It can be used to read texts and numbers. For example, we can cite the translation of text visible through a camera in real-time or the evaluation of handwritten equations. Reding text in images has attracted increasing attention in computer vision due to many practical applications in document analysis, scene understanding, robot navigation, and image retrieval.