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?
VP8 & 9
VP 8 & 9 description TBD...
Experiences using this skill are shown below:
Created several proof-of-concept webapps in 2017 experimenting with ideas that will make virtual meetings more immersive. Our approach was largely inspired by the Star Wars™ films. If you remember, the Jedi Council held meetings in which remote participants were sitting in seats using holographic projections of themselves and vs. versa. I prototyped the same two-way immersive meeting idea using WebGL 3-D and WebRTC in web browsers.
Developed several browser-based video playback and video device management applications. Some examples (in reverse chronological order):