Team RAPID

Lives are at risk when available first responder resources are overwhelmed during a mass casualty incident and those with the most serious injuries aren’t identified and treated fast. The DARPA Triage Challenge seeks to advance autonomous, noninvasive solutions that enable scalable, timely and accurate triage in critical military and civilian situations. 

The BBN-led team’s Reliable Assessment of People in Disasters, or RAPID, system aims to autonomously process multi-modal sensor data and provide timely casualty identification and injury assessment.

Designed to handle the complexities of real-world scenarios, RAPID is equipped to address hardware and software challenges in outdoor environments. RAPID leverages BBN’s expertise in:

• coordinating autonomous heterogenous UxVs,
• assessing field injuries via video, and
• managing real-time tactical information to enhance situational awareness.

Key features include:

• Advanced AI and Sensors: enhance first responder efficiency by accurately identifying and assessing injuries using integrated machine learning algorithms for precise injury recognition and vital signs measurement.
• State-of-the-Art Autonomous Navigation and Control: permits vast area coverage to locate casualties quickly using a single operator to control large-scale air drone swarms. 
• Real-Time Information Reporting: increases situational awareness and support coordination by delivering real-time casualty data, including location and condition, to first responders with geo-tagged images and summaries for each individual.

Future developments will refine search techniques and diagnostic algorithms to improve sensor integration and optimize overall system performance, ensuring enhanced accuracy and efficiency in emergency response.