The video demo of the prototype of my new Iphone App (yet to be named):

It uses its video camera to detect Demonic Activity by analyzing the color noise in video frames, which is caused by EMF interference generated by the demon cloak.

NOTE | The concept was first introduced in TECHNOLOGY | Detecting (real) demonic activity in digital media; it provides details on which image-metric variances specifically indicate the presence of hidden demons.

The app is primarily for research related to the specific kind of demonic activity that occurs at night, usually while people are sleeping; it is intended for wide-scale deployment in order to collect the requisite amount of data needed to accomplish the research objectives (i.e., analyze the implied characteristics of "night-time" demons and develop defenses against their violent and predatory behaviors).

Everyone will benefit from the outcome of the research; however, for now, users of the app are simply participants in an effort to collect data for that research. The app provides no immediate value (although the data collection phase is expected to be complete in about a month).

The app as shown captures 30 video frames per second, comparing each one to a reference frame for the specific variations in image quality (color noise) caused by interference to the operation of digital camera sensors. The metric calculated by the comparison (peak signal-to-noise ratio) is stored in the table along with the time it was measured; a graph is also generated to easily identify significant changes in measurements.

This isn't the final design of the app; it simply provides the minimum components necessary to demonstrate the concept, and to show the app's progress.

NOTE | There's only one more function to add, specifically, the transfer of data from the iPhone to a data server.