Abstract:
A system for determining a calibrated spectral measurement includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity. The processor is configured to determine the calibrated spectral measurement. The calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a plurality of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements. For a calibration measurement, a settable gap is selected and a set of input monochromatic source wavelengths is used to measure responses at a detector after transmission through the Fabry-Perot etalon. Each input monochromatic source wavelength is also measured using a radiometer to scale detector measurements.
Abstract:
A system for determining a calibrated spectral measurement includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine the calibrated spectral measurement. The calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a plurality of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements using multiple source wavelengths and multiple settable gaps.
Abstract:
A system for machine vision spectral imaging includes a spectral imager, a substrate, and a processor. The spectral imager comprises a Fabry-Perot etalon including a settable gap. The substrate has relative motion with respect to the spectral imager. The processor is configured to identify an object in a set of images from the spectral imager, wherein each of the set of images is associated with a specific gap of a full set of gaps, wherein the full set of gaps comprises a set of gaps setting the settable gap covering a complete range of the settable gap needed for a full spectral image of the object.
Abstract:
A system for determining a spectrum includes an interface and a processor. The interface is configured to receive a sample set of intensity data for an array of spatial locations and a set of spectral configurations. The processor is configured to determine a region of interest using the sample set of intensity data and determine a spectral peak for the region of interest.
Abstract:
A system for determining a spectrum includes an interface and a processor. The interface is configured to receive a sample set of intensity data for an array of spatial locations and a set of spectral configurations. The processor is configured to determine a region of interest using the sample set of intensity data and determine a spectral peak for the region of interest.