Computer vision is an exciting branch of machine learning that aims to teach the machine to process imagery in a way similar to what humans can do. While we are along way from true AI in this regard, computer vision has enjoyed tremendous advances over the past three decades, in which the state of the art has shifted paradigms several times: starting with unsupervised morphological approaches, jumping to hand-crafted supervised learning approaches, and now moving to deep learning networks, automated feature crafting, and semantic object detection, and generative models. The capabilities of the machine here are advancing so quickly that they are now raising new questions in the philosophy community about the true meaning of video, imagery, and authenticity. Many imagery-related tasks and business processes that were thought impossible to automate a decade ago are now possible, and the world is only starting to realize it.
Below are few examples of projects we have worked on that are not confined by NDAs. If you have a vision for an ambitious image processing project that you would like us to take on, please send us a proposal through our contact page, we will be happy to talk with you.