The source code for the fully functioning prototype of DemonNet, the upcoming local DAQ system packaged as an app for iPhone, is now available as a free distribution to iOS developers for test deployment.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):
|Xcode view hierarchy debugger|
The app features hands-free operation, in that the user simply launches the app, puts the phone down, and then leaves it to collect data on its own. The app's built-in anti-bias mechanisms in the app obviate the need for setup and monitoring of the app, ensuring that the app acquires non-biased samples suitable for subsequent analysis; specifically, the app waits until the camera is running, a reference frame has been prepared, and the location is up-to-date before collecting samples. If the phone is moved—even if only slightly—the app stops collecting samples immediately; then, it stops the camera, and waits until the phone is no longer moving before restarting it again. After restarting the camera, the app also checks for any change in location.
NOTE | Although it is not likely that the location could change without triggering the motion-activity mechanism, checks are still conducted periodically—primarily, to increase accuracy, whenever applicable.Once the location has been verified or updated (depending), a new reference sample is acquired, and data collection is resumed.
All of this is automatic. The only enabled interaction is the video window that displays the current sample (top-left). By touching it, the user can focus the camera, if necessary, even though, so far, this has proved unnecessary, which is due, in part, to the exclusive use of the front-facing camera.
|Xcode source editor|
|DemonNet Global Data Storage CloudKit Dashboard|
|Prototype of DemonNet DAQ app for iPhone|
|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]|
More about the app
More information regarding the purpose of the DemonNet DAQ System and how the data collected by clients will be used for the aforestated purposes is available on this blog at:
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