Computer Vision

What is Computer Vision

Computer vision refers to a field of artificial intelligence that enables applications to interpret visual information from the digital world, allowing software to recognize objects, people, and environments for use in augmented reality, autonomous vehicles, and medical imaging.

How does Computer Vision work?

This multidisciplinary domain combines techniques from machine learning, pattern recognition, and image processing to develop systems capable of extracting high-level understanding from digital images and video streams. Modern computer vision implementations typically employ deep neural networks trained on massive datasets to identify features, classify objects, track motion, and reconstruct three-dimensional scenes from two-dimensional inputs.

How is Computer Vision used?

In development environments, these capabilities enable augmented reality applications to accurately place virtual objects relative to real-world surfaces, generate realistic occlusion effects, and respond to changing lighting conditions. Beyond AR, computer vision algorithms power diverse applications including automated quality control in manufacturing, patient monitoring systems in healthcare, and synthetic training data generation for simulation environments. As processing capabilities continue advancing, computer vision increasingly serves as the foundational technology that bridges digital systems with visual understanding of the physical world.