The capability of computer systems to “see” and interpret images and videos is a rapidly evolving field. This technology enables machines to extract meaningful information from visual inputs, much like the human eye and brain do. For instance, it can identify objects in a photograph, detect anomalies in a medical scan, or analyze facial expressions in a video recording.
This area is transforming various industries by automating tasks that previously required human vision and judgment. Benefits include increased efficiency, improved accuracy, and the ability to process vast amounts of visual data quickly. Historically, development has been driven by advancements in machine learning, particularly deep learning algorithms, and the availability of large datasets for training these algorithms.
