Using AI to Augment NG9-1-1 Operational Efficiency by Detecting Non-emergency and Anomalous Video Content

SecureLogix is working on several projects with the Department of Homeland Security (DHS) to secure NG9-1-1. The focus so far has been on voice/calls and threats such as Telephony Denial of Service (TDoS), robocalls, and SWATing. As part of these projects, SecureLogix has built an infrastructure that can easily can be deployed in NG9-1-1 and be expanded to provide access to the multimedia data, including video. This architecture is based upon our PolicyGuru and Orchestra One solutions. PolicyGuru provides security sensors and optional session control that can be deployed in the Public Safety Answering Point (PSAP) environments. Emergency call data is sent by the system in real time to the Orchestra One cloud component, where all the detection, analysis, and aggregation is performed. The threat scoring output is then sent to the Intrado (formerly West) ECaTS dashboard for situational awareness.SecureLogix proposes to design a technical model and determine how to integrate the use of artificial intelligence (AI) and machine learning (ML) into the process of evaluating video, for its potential to augment voice information, in the 9-1-1 telecommunicators response. SecureLogix will use AI and ML to analyze videos, which will reduce the burden and workload of the telecommunicator. The workload will be reduced by removing malicious, deepfake, prank, and other non-emergency videos. Additional features will optimize telecommunicator video processing. This involves video classification, categorization, and summarization based upon video content, metadata, and external data.