Quick Look at Some Advances in the Integration of Different

Sensor Technologies

Carl F. Steiner - Class of ‘88Chief Design Engineer

Science Applications International Corporation (SAIC)

TIGER- Triangulation Identification for Genetic Evaluation of Risks

• On-Chip Broad Range Polymerase Chain Reaction (PCR)

TIGER- Triangulation Identification for Genetic Evaluation of Risks

TIGER- Triangulation Identification for Genetic Evaluation of Risks

• On-Chip Broad Range Polymerase Chain Reaction (PCR)

• On-Chip Broad Range Polymerase Chain Reaction (PCR)

• Fourier Transform Mass Spectrometry (FTMS)

TIGER- Triangulation Identification for Genetic Evaluation of Risks

• On-Chip Broad Range Polymerase Chain Reaction (PCR)

• Fourier Transform Mass Spectrometry (FTMS)

• Statistics (Pd, Bayesian Inference, False Positives)

TIGER- Triangulation Identification for Genetic Evaluation of Risks

TIGER- Triangulation Identification for Genetic Evaluation of Risks

• On-Chip Broad Range Polymerase Chain Reaction (PCR)

• Fourier Transform Mass Spectrometry (FTMS)

• Statistics (Pd, Bayesian Inference, False Positives)

• SW, HW Interfaces

Example of Different Sensor Types

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types•Acoustic

•Sonar

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types•Acoustic

•Sonar

•Chemical, Biological, Radiological

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types•Acoustic

•Sonar

•Chemical, Biological, Radiological

•Effluent

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types•Acoustic

•Sonar

•Chemical, Biological, Radiological

•Effluent

•Environmental (wind, temperature, rH, solar, TOD, location, orientation, etc.)

•Electro-Optical

•Infrared

•Hyper-spectral

•LASER

•Microwave

•RADAR

•LIDAR

•Radio Frequency

Example of Different Sensor Types•Acoustic

•Sonar

•Chemical, Biological, Radiological

•Effluent

•Environmental (wind, temperature, rH, solar, TOD, location, orientation, etc.)

•Magnetic (MRI, MPI, SERF, SQUIDs)

•Other

•Polymerase Chain Reaction (PCR)

•Passive Acoustic, Seismic, and Electromagnetic (PASEM)

•LASER Induced Breakdown Spectroscopy

•Ultraviolet Imaging

•Long Wave/Short Wave Infrared Imaging

•Near Infrared Imaging (NIR)

•Ultrasonic Imaging

•Hyper- and Multi-Spectral Imager

•Staring Dual Band Infrared Arrays

Some Examples of Uses Now

•LASER Interferometry

•Inertial Navigation Systems (INS)

•Micro Electro Mechanical Systems (MEMS and Microsensors)

•Interferometric Fiber Optic Gyroscope (Sagnac Effect)

•Foliage Penetrating Synthetic Aperture RADAR

•Ground Penetrating RADAR

•Broadband, Variable-Depth Sonar

•Synthetic Aperture Sonar

•Miniature and LASER Cooled Atomic Clocks

Hybrid Sensor Integration

Hybrid Sensor IntegrationData and Sensor Fusion Problem

Hybrid Sensor IntegrationData and Sensor Fusion Problem

•Kalman Filters

•Bayesian Networks / Decision Trees

•Apriori data base information / Adaptive Learning

•Situational Awareness

Hybrid Sensor Integration

Examples

Data and Sensor Fusion Problem

•Kalman Filters

•Bayesian Networks / Decision Trees

•Apriori data base information / Adaptive Learning

•Situational Awareness

Hybrid Sensor Integration

Examples

•Unattended Robotically Controlled Systems

Data and Sensor Fusion Problem

•Kalman Filters

•Bayesian Networks / Decision Trees

•Apriori data base information / Adaptive Learning

•Situational Awareness

Hybrid Sensor Integration

Examples

•Unattended Robotically Controlled Systems

•Tunable Filter Multi-Spectral Camera

•Autonomous Distributed Sensors

•Networked Sensor Systems

Data and Sensor Fusion Problem

•Kalman Filters

•Bayesian Networks / Decision Trees

•Apriori data base information / Adaptive Learning

•Situational Awareness

Hybrid Sensor Integration

Examples

•Unattended Robotically Controlled Systems

•Tunable Filter Multi-Spectral Camera

•Autonomous Distributed Sensors

•Networked Sensor Systems

Data and Sensor Fusion Problem

•Kalman Filters

•Bayesian Networks / Decision Trees

•Apriori data base information / Adaptive Learning

•Situational Awareness

Hurdles

•Size, Weight, & Power

•Robustness / MTTF

•Cost

Innovative Approaches

Innovative Approaches Distributed Processing

Innovative Approaches Distributed Processing

•Synergistic Advantage

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking•“Smart Dust”

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking•“Smart Dust”

•Energy Harvesting & Storage

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking•“Smart Dust”

•Energy Harvesting & Storage•Piezoelectric & Bio-Mechanical

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking•“Smart Dust”

•Energy Harvesting & Storage•Piezoelectric & Bio-Mechanical•Pyroelectric

Innovative Approaches Distributed Processing

•Synergistic Advantage •Meshed Networking•“Smart Dust”

•Energy Harvesting & Storage•Piezoelectric & Bio-Mechanical•Pyroelectric•Nanogenerators (wind turbines, vibration)

Innovative Approaches Distributed Processing

•Synergistic Advantage•Meshed Networking•“Smart Dust”

•Energy Harvesting & Storage•Piezoelectric & Bio-Mechanical•Pyroelectric•Nanogenerators (wind turbines, vibration)•RF Antennae

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