The following is a video demo of the first prototype of my new iPhone app that uses its video camera to collect data on demonic activity it detects; it does this by comparing variations between two like images as measured by certain key metrics that quantify image quality. One image is made in real-time and is constantly replaced by a new one while the app is at work; the other is a copy of the very first image acquired when the app was launched, and is never replaced unless the phone is repositioned or moved: The demo shows the app collecting peak signal-to-noise ratio data 30 times a second (in the graph), while updating the database (in the table) once a second. The PSNR is an image-quality metric that measures variation between two images that are, ideally, supposed to be identical and made in an environment where light levels are stable and there is no motion within the purview of the camera; the camera must pointed in the same, exact direction and locked in a perfe...
My inevitable demise, daily.