Machine Learning for Multi-modal CBRN Threat Classification and Localization

TECHNOLOGY SUMMARY

We propose a chemical threat detection system that leverages drones, computer vision, multimodal machine learning, and chemical detection technologies to provide an operator with an improved tool to identify and respond to chemical threats more rapidly and with more autonomy.

AREA/MATURITY/AWARDS

Primary Application Area: Medical Devices & Materials

Technology Development Status: Prototype

Technology Readiness Level: TRL 5


SHOWCASE SUMMARY

Organization Type: Small to Medium Enterprise

Website: http://www.kefrobotics.com


MARKET KEYWORDS

Market Keywords: Autonomous, Aerial Robotics, Stand-off Chemical Plume Interrogation