Computer Vision and Deep Learning Transforming Image Recognition and Beyond

• DOI: 10.62051/ijcsit.v2n1.06
• Publication Date: 2024-03-07T06:44:17Z
• Authors: Yizhi Chen; Sihao Wang; Luqi Lin; Zhengrong Cui; Yanqi Zong

Computer vision is a cutting-edge information processing technology that seeks to mimic the human visual nervous system. Its primary aim emulate psychological processes of interpret and depict objective scenery. This revolutionary field encompasses wide range applications, including life sciences, medical diagnosis, military operations, scientific research, many others. At heart computer lies theoretical core, which includes deep learning, image recognition, target detection, tracking These elements combine enable computers process, analyze, understand images, allowing for classification objects based on various patterns One standout advantages learning techniques, when compared traditional methods, their ability automatically learn adapt specific features required given problem. adaptive nature networks has opened up new possibilities paved way remarkable breakthroughs in vision. paper examines practical application convolutional neural (CNNs) elucidates advancements artificial intelligence within recognition. It does so by showcasing tangible benefits functionalities these technologies.