The Present And Future Of Computer Vision

Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. However, the process of deciphering images, due to the significantly greater amount of multi-dimensional data that needs analysis, is much more complex than understanding other forms of binary information. This makes developing AI systems that can recognize visual data more complicated.

But, the use of deep learning and artificial neural networks is making computer vision more capable of replicating human vision. In fact, computer vision is becoming more adept at identifying patterns from images than the human visual cognitive system. For instance, in the field of healthcare, computer vision-based technology has said to have exceeded the pattern recognition capabilities of human physicians. Researchers have tested an AI that can detect neurological illnesses by reading CT scan images faster than radiologists.

The full Forbes article can be read at this link.