AI-Powered 911 Multimedia Video Prioritization

Next Generation 911 technology makes it possible for 911 callers to send multimedia to the Emergency Communications Center (ECC) as part of a 911 "call." While this has the potential to augment the current voice-only model to add useful, actionable data that can result in a more effective and efficient emergency response, it also has the potential to complicate and overburden 911 Telecommunicators. Sage Analysis Group's proposed solution to this challenge will leverage its existing smart video reduction technology which has been tested and refined through work with DHS S&T to filter down surveillance video into actionable information. This capability, which includes Computer Vision, Artificial Intelligence (AI), and Machine Learning algorithms, will be extended to prioritize different pieces of incoming video data, relate and contextualize multiple video streams from different callers, and automatically extract operationally relevant information. The solution will need to be able to analyze video of varying quality from mobile devices and efficiently share key information with the relevant groups of emergency responders. In Phase I, specific requirements and technical and operational factors for the solution to consider will be researched with potential users, and an initial technical architecture and assessment of required AI development will be produced. In Phase II, a working prototype solution will be developed. This technology will have direct application with 911 ECCs and Federal, state, and local public safety and disaster response organizations. There are also potential applications for site security, industrial safety and marketing.