Motivated by the way humans observe work, a research team at the University of Glasgow, UK, has discovered a new method for computer-controlled cameras to gaze. The team has developed a way of making videos with the use of single-pixel cameras. According to the researchers, this can be done by instructing the cameras to prioritize items in pictures, the way our brain makes decisions. The brain and eyes of humans, and several animals, function in tandem to prioritize certain areas of their sight.
For instance, during a discussion, the visual concentration is mainly focused on the other speaker with a lesser processing time of the brain given to non-essential elements. The sensor utilizes just 1 light sensitive pixel to create moving pictures of items located in front of it. The single-pixel sensors are less expensive in comparison to the exclusive megapixel sensor found in the digital cameras.
The images produced by the system are square with a 1000 pixel resolution. These 1000 pixels are evenly distributed in conventional cameras in a grid covering the image. However, the new system can rather select to distribute its pixel budget to prioritize the more significant section within the frame, locating higher pixel in that particular areas, and thus, sharpening the feature of few parts while forgoing features in other.
The distribution of the pixel can be altered from one frame to the subsequent one in the same manner as the biological vision systems functions, for instance, when the gaze of a human is shifted from one object to another. David Phillips said, “At the start, I was seeking to find a solution for maximizing the frame rate of a single pixel system to create a video that can be smooth as achievable. However, I began to consider the fact about the way vision functions in living things and I realized that developing a program that could deduce the information from our single-pixel sensor, in the same manner, can solve the issue.” He also further said, “We are enthusiastic to keep on enhancing the system and search the opportunities for commercial and industrial use, for instance, in medical imaging.”