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Since the 1950s and 1960s, scientists have been working on how to replicate the human visual system in digital form. By studying how neurons react to stimuli, scientists at the time observed that human vision is hierarchical and that neurons work by detecting simple features such as edges, before feeding into more complex features such as shapes. While early experiments to link a camera to a computer and describe what it saw were far from successful, the technology is now experiencing something of a renaissance. This is thanks largely to advances in the field of Artificial Intelligence (AI), as well as innovations in neural networks and deep learning. In this white paper, we look at the challenges currently facing those developing computer vision applications and how they can be overcome. We also look at some of the industries currently implementing computer vision solutions and the benefits they can bring. |
