The following video is intended for use as a supplement to a personal demo for interested developers; it shows the first prototype of the app running on an iPhone 6s Plus as it calculates in real-time the peak-signal-to-noise ratio between samples acquired at 30 fps (shown in the top video window) and the reference sample (shown in the window below):



Given the grave nature of the problem, developers are encouraged to contribute to the development of the app, and to even distribute versions of their own making, provided the data their app acquires is stored in DemonNet global storage via CloudKit, and is otherwise made available for immediate acquisition, as well as unrestricted analysis and use.

DemonNet Global Data Storage CloudKit Dashboard

More about the app is forthcoming; however, in the meantime, read TECH | "Demon net" iPhone app prototype and TECHNOLOGY | Detecting (real) demonic activity in digital media if you're unfamiliar with this component of a global initiative to use cellphones to detect demonic activity and to track its movement (that, specifically, is at night, while cellphone users sleep—the time when most undetected demonic intrusion occurs).

Prototype of DemonNet DAQ app for iPhone

Also, read Finding hidden demons in digital media | Mapping multispectral digital image sensor data to see how off-the-shelf image-processing software are used to reveal otherwise unseen demonic activity from images made by cellphones during periods of high demonic activity:

The blue-skinned demon peering through the bedroom door at night is just one of a multitude of demonic intruders that invade sleeping households all over the world, inflicting both injury and causing illness [image from Enhancing demon faces made anywhere, at anytime, from anything]

If you are unfamiliar with data acquisition systems in general, National Instruments expertly introduces both the topic and a line of products that are used in the same manner and for the same general purpose as the DemonNet DAQ app.

Xcode source editor