Internet of RAD Things: Multi-Detector Edge Intelligence for Integrated Sensor Networks

BluEyeQ LLC and Los Alamos National Laboratory are pleased to propose an interoperable network of Internet of Things (IoT) enabled CBRNE detectors.With the emergence of high performance, low cost networking equipment and Big Data cloud analytics, the opportunity exists to harness the vision and intelligence available from distributed sensor data.Our proposal demonstrates a path to modernize past CBRNE detector investments into a holistic, integrated solution that is agnostic to the types of sensors deployed.The Government has made significant investments in radiation detection capability along, within, and beyond our borders, but many deployed units do not share their measurement information in near real-time. Our proposal seeks to augment CBRNE detection capability by adding communication and standardization, taking an IoT approach to networking legacy and emerging systems. BluEyeQs core business is the development, installation, and analytics support for Industrial Internet-of-Things customers. Our proposed solution results in dual-use technology that reduces end-user costs while strengthening our nation against WMD attack.