Intelligent Automation, Inc. (IAI) specializes in developing and applying advanced sensing, signal processing, machine learning, controls and optimization techniques to diverse engineering problems across military, transportation, aerospace, health, and industrial markets.
IAI has been conducting research in machine learning for the past two decades and has considerable expertise in processing a wide variety of sensor signals/data, such as audio/image data, radar signals, and physiological signals. We successfully applied machine learning to solve many challenging military and civilian problems, such as Operator Functional State (OFS) assessment via physiological sensing for NASA, voice-based Post Traumatic Stress Disorder (PTSD) assessment for the Army, and driver distraction and fatigue detection for the Department of Transportation. IAI has also been using Machine learning tools for developing technologies in the area of data driven Prognostics and Health Management (PHM) and conducts extensive research and development in Structural Health Monitoring (SHM) and Nondestructive Evaluation (NDE).
IAI’s key competencies in transportation R&D and engineering services include advanced sensing and wireless communications for infrastructures, traffic, and vehicle system. Our expertise includes Connected Vehicles applications, traffic modeling and simulation for transportation planning and traffic operations, web service and software development for transportation system management, and engineering services such as highway signal, signing and pavement marking design, local and regional transportation/traffic impact study.
IAI has been developing methodologies and frameworks for aeronautical design applications. We have developed Multidisciplinary Design Optimization (MDO) architectures and associated disciplinary analyses (aerodynamics, structures, controls, propulsion, and acoustics) for design of advanced aircraft, propellers, exhaust systems, and projectiles. State-of-the-art high-fidelity solvers for fluid and structural analysis are used for simulation, and High Performance Computing (HPC) clusters are utilized for efficiency. Machine learning and control methods, including adaptive control, optimal control and system identification are also used for developing controllers for a variety of applications (such as transferring cargo at sea, precision guided munitions, ballistic missiles, and morphing aircraft).
Overall, 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, Stanford University, University of Maryland, University of Central Florida, University of South Carolina, Rensselaer Polytechnic Institute, University of Illinois Chicago, Raytheon, Sikorsky Aircraft Corporation, Hamilton Sundstrand, Pratt & Whitney, SWRI, Boeing Research and Technology, and University Hospitals Case Medical Center.
Examples of our work
IAI’s Matlab-based automated multi-class data visualization and classification tool has four main modules to manage the process in the aspects of data, features, classifier training and assessment, and has been used in several DoD funded projects.
DilemmaZone provides vehicle-specific dilemma zone protection based on travel time to the intersection as opposed to more conventional systems which protect a fixed area on the pavement. DilemmaZone employs sensors to track individual vehicles in real time and interface with signal controllers to implement advanced signal protocols.
IAI’s agent-based meta-optimization data mining software product provides access to hundreds of machine learning algorithms for both supervised and unsupervised learning. Its optimization-engine finds the best algorithm for a given problem based on optimization theory.
ListEn, IAI’s voice-based Post Traumatic Stress Disorder (PTSD) assessment engine, provides objective, content-independent, consistent, and scalable monitoring for post-traumatic stress.
BridgeMonitor™ is an easy-to-use, continuous bridge structural integrity monitoring system. The system utilizes acoustic emission sensors, ultrasonic guided wave sensors and strain gauge sensors to monitor the structural health of steel structures and provides early warnings of critical structural problems.
WireCheck® is an sensitive Time Domain Reflectometer designed to detect chafing and other soft faults in cables. Detecting chafes with sub-inch accuracy at over 200 ft, WireCheck® can simplify difficult troubleshooting tasks on aircraft and other systems where cable access is limited, and/or where faults are intermittent.
IAI is experienced in applying advanced signal processing and machine learning techniques to solve real world problems. We work in audio, image and video signal processing, industrial control, and health management of electro-mechanical systems for improved mission readiness. Our techniques include support vector machines, neural networks, Bayesian networks, deep learning, sparse coding, manifold learning, and pair wise feature selection-based optimal multiclass classification. We use pattern matching, data synthesis, clustering, semi-supervised/supervised classification, prediction, quantification and regression, to develop customized algorithmic, software, hardware, and integrated system solutions for federal agencies including Department of Homeland Security (DHS), NASA, Navy, Army, Air Force, DOT, OSD, NIJ, and academic and industry partners.
IAI is an industry leader in using mental health assessments for early screening, diagnosis and treatment of Post-Traumatic Stress Disorder (PTSD). We also provide solutions for noise reduction and speech enhancement in military environments. One example is an innovative/cost-effective platform and personnel mounted technology that we created and integrated, to improve Navy and Marine aviation hearing protection and communication.
IAI conducts extensive research and development in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). We develop solutions for advanced material property characterization and high-valued structure defect detection and assessment, by leveraging our expertise in sensing technologies, signal processing, modeling and simulation, system integration and testing, and wireless in-situ monitoring. Our clients include the Air Force, Navy, Army, NASA, DOT and we have worked with several collaborators including Penn State University, Utah State University, SWRI, and Pratt & Whitney.
Our key strengths include ultrasonic guided wave technologies, wireless sensors, modeling and simulation, and system prototyping and instrumentation. We focus on the automation of data collection and processing, integration of emerging sensing modalities with wireless communication, high performance computing and microelectronics, and high fidelity material modeling and damage inspection simulation.