Later on in the DNN anomaly detection project we had the opportunity to temporarily integrate our A.I. technology into a Barco control-room product called OpSpace that would be demoed at the 2018 ISE Expo. The OpSpace system contained a subsystem called the EDP Analytics Service (EAS) which used a graphical IoT builder call Node-RED.
2-D canvas UIs
2-D canvas description TBD...
Experiences using this skill are shown below:
During greater part of 2017 and 2018, our team was doing research in Deep Neural Net (DNN) anomaly detection. The problem we were looking to solve was that control centers usually had far too many surveillance video cameras and control panels to monitor and not enough personal to pay attention to them all. Why not apply machine-learning (ML) anomaly detection on camera and computer monitor feeds to alert control center personal of abnormal events as soon as they occur?
Developed several browser-based video playback and video device management applications. Some examples (in reverse chronological order):
Designed and implemented complex, real-time, universal map display applications in Adobe Flash for the web and CocoaTouch for the Apple iPad that yielded a significant increase in revenue and helped achieve financial independence for the company (according to the President/CEO, Maurice Bailey).
Designed and created all of the Universal Flash Viewer plug-ins including all the graphics art work. They were all implemented in pure ActionScript 3 without the use of the main timeline. All ActionScript code was contained in separate source files. All plug-ins followed a standard design pattern:
Refactored the previous weather plug-in I implemented to do on-demand loading of weather only when requested. The previous approach preloaded the weather in the background to speed delivery but that approach negatively affected overall Viewer performance. The weather animation in the new approach would start up soon as 2 layers were loaded and would automatically add more layers to the animation sequence as each layer became available. This provided on-demand loading with a fast initial presentation.
This was an interesting exercise in repurposing the Universal Flash Viewer for holiday fun. It required very little code rewriting other than writing a mock web services plug-in that played back canned data (Santa's sleigh ride path). The only other thing I had to do was create a new skin for the holidays and add some easter eggs (such as falling snow and country flags). I did the steam-punk styled graphics arts myself with some pretty cool 3-D effects. I also created the reindeer animations and just substituted one icon plug-in for another to make it appear.
The redesigned map plug-in solved a long-standing problem with the old map plug-in that was actually a port of some old code written by someone else. The new plug-in required a lot less memory, was a lot less buggy and it could show dozens of different base maps from multiple map tile servers. All of this could be configured without touching any code (unlike route-me and OpenLayers). The map type selected in this screenshot was the USGS topo map. The pushpin labels were draggable and individually displayable.
Developed a prototype version of the FlyteComm Universal Viewer for the iPhone/iPad as a marketing tool to guage customer interest. This prototype iOS app generated so much customer enthusiasm that the company went full speed ahead developing it into a real product. The iPad/iPhone application was written in Apple's Objective C for iOS 5 in XCode 4.3. There were many challenges. We could not use Apple's MapKit, based on Google Maps, because of Google's licensing restrictions on commercial use.
Updated Flash Viewer to support the WMS (Web Mapping Services) supported by NOAA’s weather servers complete with tile image stretching to approximate image warping from the Geographic to World Pseudo Mercator (used within the Flash Viewer). Had the Viewer talking to 24 NOAA weather servers supporting more than 200 weather overlays (including storm tracks, fires, floods, radar, and so on) with full visibility control working in just over a week (on a rush schedule) to show to the FAA. Also added GeoJSON support for NOAA aviation weather.