Abstract: A method of performing Raman spectroscopy, and an apparatus for performing the method, including irradiating, with laser light, a trace amount of a target substance disposed on a painted surface, receiving reflected laser light and a Raman return signal from the trace amount of the target substance, processing the Raman return signal using, at least, a spectrograph and camera to obtain a Raman signature for the target substance, and identifying the target substance based on the Raman signature for the target substance and a database of Raman signatures. The laser light wavelength may be selected based on a ratio of Raman return signal power to fluorescence power.

Abstract: A Raman spectroscopy sensor integrated with an unmanned ground vehicle (UGV) includes a UGV having a robot arm and a camera mounted on the robot arm. A laser and telescope associated with a Raman sensor are mounted on the robot arm in such a way as to point in substantially the same direction in which the camera is pointed. A Raman spectral data acquisition and control module is mounted on the UGV and is configured to receive Raman spectral data from the telescope. A remote base station having a display and a data processing and analysis module is configured to receive data from the data acquisition and control module and to display for an operator images from the camera and information related to the Raman sensor. An autofocus system is preferably employed to automatically control telescope focus and thereby enable the Raman sensor to operate over a wide range, e.g., 0.5 m to 10 m.

Abstract: A method of performing Raman spectroscopy, and an apparatus for performing the method, including irradiating, with laser light, a trace amount of a target substance disposed on a painted surface, receiving reflected laser light and a Raman return signal from the trace amount of the target substance, processing the Raman return signal using, at least, a spectrograph and camera to obtain a Raman signature for the target substance, and identifying the target substance based on the Raman signature for the target substance and a database of Raman signatures. The laser light wavelength may be selected based on a ratio of Raman return signal power to fluorescence power.

Abstract: A Raman spectroscopy sensor integrated with an unmanned ground vehicle (UGV) includes a UGV having a robot arm and a camera mounted on the robot arm. A laser and telescope associated with a Raman sensor are mounted on the robot arm in such a way as to point in substantially the same direction in which the camera is pointed. A Raman spectral data acquisition and control module is mounted on the UGV and is configured to receive Raman spectral data from the telescope. A remote base station having a display and a data processing and analysis module is configured to receive data from the data acquisition and control module and to display for an operator images from the camera and information related to the Raman sensor. An autofocus system is preferably employed to automatically control telescope focus and thereby enable the Raman sensor to operate over a wide range, e.g., 0.5 m to 10 m.

Abstract: Systems and methods for fast and sensitive standoff surface-hazard detection with high data throughput, high spatial resolution and high degree of pointing flexibility. The system comprises a first hand-held unit that directs an excitation beam onto a surface that is located a distance away from the first unit and an optical subsystem that captures scattered radiation from the surface as a result of the beam of light. The first unit is connected via a link that includes a bundle of optical fibers, to a second unit, called the processing unit. The processing unit comprises a fiber-coupled spectrograph to convert scattered radiation to spectral data, and a processor that analyzes the collected spectral data to detect and/or identify a hazardous substance. The second unit may be contained within a body-wearable housing or apparatus so that the first unit and second unit together form a man-portable detection assembly.