Pushing the Boundaries of Computer Vision

#artificialintelligence 

High-definition cameras can detect details even our eyes can't, and fast processors should make interpreting images simple. However, computer vision has long been a hurdle for computer science, and we're only now on the verge of making significant progress in some areas. We tend to underestimate just how much information our eyes and brains have to interpret to achieve human-like vision. A recent report by Tractica, predicts the computer vision hardware and software market will grow from $6.6 billion in 2015 to $48.6 billion annually by 2022. According to Anand Joshi, principal analyst at Tractica "the computer vision market remains ripe for innovation and open to the emergence of new applications as well as new industry participants".