IAI specializes in applying advanced signal processing and machine learning techniques to diverse engineering problems ranging from health management of electro-mechanical systems to chemical and biological agent detection and classification to cognitive readiness and mental health assessment.
We have considerable expertise in determining Operator Functional State (OFS) assessment by studying human fatigue based on voice, eye tracking and physiological signals including ECG, EEG, and respiration. IAI's Cognitive State Assessment in Real Time (C-START) system for NASA accurately monitors OFS during flight, and our voice-based Post Traumatic Stress Disorder (PTSD) assessment system for the Army Telemedicine and Advanced Technology Research Center (TATRC) screens and monitors individuals at high risk for PTSD.
Our machine learning-based tools and products include ABMiner, a multipurpose agent-based data-mining software product; MCT, a Matlab-based automated multi-class data classification tool; and ListEn, a voice-based Post Traumatic Stress Disorder (PTSD) assessment engine.
IAI conducts extensive research and development in Structural Health Monitoring (SHM) and Non Destructive Evaluation (NDE), leveraging our expertise in sensor design and development, modeling and simulation, signal processing algorithms, system integration and testing, and wireless in-situ monitoring. We have developed individual sensors and wireless sensor networks that use ultrasonic guided waves to detect defects in composite material, metallic, and concrete structures. IAI also utilizesdevelops ultra-wideband (UWB) Time Domain Reflectometry (TDR) to detect hard and soft faults in electrical cables for mission critical systems. Our suite of ultrasonics-based structural health monitoring technologies has a wide spectrum of applications, including aircraft, ships, and civil infrastructure.
IAI combines strong in-house R&D capabilities with the expertise of academic and industry partners to develop customized solutions for many customers including DHS, NASA, Navy, Army, Air force, OSD, NIJ and DOT. Our partners include Old Dominion University, Penn State University, Utah State University, Virginia Commonwealth University, Wright State University, Sikorsky Aircraft Corporation, Hamilton Sundstrand, Pratt & Whitney, SWRI and University Hospitals Case Medical Center.
IAI's Signal Processing Laboratory is equipped with a wide range of basic signal processing equipment including high speed signal generators, and data acquisition systems to support projects related to signal/image processing, health monitoring and controls applications. It also has an ultrasonic microscope for non-destructive inspection of materials and microphone arrays and associated electronics for audio processing. The lab hosts a suite of software including Matlab, Labview and in-house software tools such as IAI’s Correlation Analysis Technique (CAT) for non-destructive evaluation (NDE) of materials and structures, and a 3D visualization platform for missile target discrimination. The high speed signal generators and data acquisition systems are utilized for development of NDE systems.
IAI's Robotics and Electromechanical Systems Laboratory features a suite of robots and software tools to support research in robot teams and medical robotics. Our robot assets include 10 Amigobot robots, 13 iCreate Robots, 2 LAGR robots, and a Pioneer robot. An RTK-2 system comprised of a dual frequency Novatel OEMV2 base station and a Novatel OEMV2 rover help with high-accuracy positioning. The lab has two single-frequency (L1) uBlox Antaris 4 GPS receivers and two single-frequency Novatel OEMV1 receivers. It also has two dual frequency Novatel 702-GG antennas, with built-in multipath mitigation (used for RTK-2 positioning), two single-frequency Novatel 701-GG antennas, a dual-frequency Antcom patch antenna, and a passive helical antenna made by Sarantel. COTS and in house software include the Distributed Control Framework (DCF), and the Motion Description Language Extended (MDLe) Engine.
IAI's Transportation Laboratory is equipped with a NEMA-TS2 traffic controller (hardware), ASC3 traffic controller software, traffic simulation software VISSIM, wireless communication module, and plasma TV for big screen display. The full integration of traffic signal controller, control software, warning LEDs, and wireless modules enhances IAI's capability in system and product development.