Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Computer Vision is a transformative field of artificial intelligence that enables machines to understand and interpret visual information from the real world. This paper explores the fundamental techniques used in image and video recognition, object detection, and scene understanding. It delves into the algorithms and deep learning architectures that power these systems and highlights their practical applications in sectors such as autonomous vehicles and medical imaging. Through a comprehensive analysis of current methodologies, challenges, and emerging trends, the paper aims to present a clear understanding of the trajectory of computer vision and its impact on technological innovation.

Keywords: Computer Vision, Image Recognition, Object Detection, Scene Understanding, Deep Learning, Convolutional Neural Networks, Autonomous Vehicles, Medical Imaging, AI in Healthcare, Machine Perception