Artificial Intelligence in Computer Vision: Methods and Applications Review

Abstract

Artificial intelligence-based computer vision is an emerging technology that enables computers to see. This paper reviews the methods of artificial intelligence in computer vision including machine learning, deep learning, convolutional neural networks and transfer learning, and applications of such technology in object detection, facial recognition, medical image analysis, autonomous vehicles and security. It also explains the performance measures, issues such as bias, complexity and ethical concerns and future technologies such as vision transformers and multimodal learning. The study ends with the future of more efficient, explainable and transferable intelligent vision.