757 results about "Spectral signature" patented technology

A spectral bio-imaging method for enhancing pathologic, physiologic, metabolic and health related spectral signatures of an eye tissue, the method comprising the steps of (a) providing an optical device for eye inspection being optically connected to a spectral imager; (b) illuminating the eye tissue with light via the iris, viewing the eye tissue through the optical device and spectral imager and obtaining a spectrum of light for each pixel of the eye tissue; and (c) attributing each of the pixels a color or intensity according to its spectral signature, thereby providing an image enhancing the spectral signatures of the eye tissue.

A vehicle headlamp control method and apparatus includes providing an imaging sensor that senses light in spatially separated regions of a field of view forward of the vehicle. Light levels sensed in individual regions of the field of view are evaluated in order to identify light sources of interest, such as oncoming headlights and leading taillights. The vehicle's headlights are controlled in response to identifying such particular light sources or absence of such light sources. Spectral signatures of light sources may be examined in order to determine if the spectral signature matches that of particular light sources such as the spectral signatures of headlights or taillights. Sensed light levels may also be evaluated for their spatial distribution in order to identify light sources of interest.

A system, method and computer program product for positioning pulses, including positioning pulses within a specified time layout according to one or more codes to produce a pulse train having one or more predefined spectral characteristics where a difference in time position between adjacent pulses positioned to produce a spectral characteristic differs from another difference in time position between other adjacent pulses positioned to produce the spectral characteristic. The present invention may include shaping a code spectrum according to a spectral template in order to preserve a pre-defined code characteristic. A pre-defined code characteristic can include desirable correlation, or spectral properties. A transmitter incorporating the present invention can avoid transmitting at a particular frequency. Similarly, a receiver can avoid interference with a signal transmitting at a particular frequency. A radar system, can avoid a radar jammer attempting to jam a particular frequency.

Spectrometer instruments are characterized by classifying their spectra into previously defined clusters. The spectra are mapped to the clusters and a classification is made based on similarity of extracted spectral features to one of the previously defined clusters. Calibration models for each cluster are provided to compensate for instrumental variation. Calibration models are provided either by transferring a master calibration to slave calibrations or by calculating a separate calibration for each cluster.A simplified method of calibration transfer maps clusters to each other, so that a calibration transferred between clusters models only the difference between the two clusters, substantially reducing the complexity of the model.

A marking system for use with a multi-spectral imager for use in high throughput sortation of articles having distorted or irregular surfaces is disclosed. Specific uses include, but are not limited to, document sorting, garment and textile rental operations, laundry operations, and mail and package sorting and identification. Methods and apparatus are provided to remotely identify items via information that is wavelength-encoded within an applied mark, as well as a mark reading / decoding scheme. In the preferred embodiment the marks are multi-dimensional. In one preferred embodiment the marks are used to realize multi-dimensional wavelength-enabled coding schemes. The marks can be overlayed one upon another and / or they can contain one or more key regions having at least one predetermined spectral characteristic for providing information related at least to reading and / or decoding the marks.

A spectral bio-imaging method for enhancing pathologic, physiologic, metabolic and health related spectral signatures of an eye tissue, the method comprising the steps of (a) providing an optical device for eye inspection being optically connected to a spectral imager; (b) illuminating the eye tissue with light via the iris, viewing the eye tissue through the optical device and spectral imager and obtaining a spectrum of light for each pixel of the eye tissue; and (c) attributing each of the pixels a color according to its spectral signature, thereby providing an image enhancing the spectral signatures of the eye tissue.

A prescription verification system includes a database that contains a plurality of spectral signatures corresponding to identified pharmaceuticals. A multimodal multiplex sampling (MMS) spectrometer obtains a spectra of a pharmaceutical to be identified and verified. The pharmaceutical can be inside or out of a vial. The prescription verification system includes algorithms for matching spectra of pharmaceuticals to be verified obtaining using the MMS spectrometer to spectral signatures contained in the database corresponding to identified pharmaceuticals. The prescription verification system further includes algorithms for identifying such pharmaceuticals to be verified.

A multi-spectral detection and analysis system detects and classifies a targeted sample. The system may include a light source that causes the targeted sample to luminesce. A light dispersion element disperses the luminescence to a photodetector in a photodetector array. Each photodetector in the array transmits a signal indicating a portion of the spectrum to a multi-channel collection system. The multi-channel collection system processes the signal into a digital signal and forms the digital signal into a spectral signature. A processor analyzes the spectral signature and compares the spectral signature to known spectral signatures to identify the targeted sample.

A monitoring network system for inspecting and controlling harmful substances includes probe assemblies that each includes a sensor comprising nano structured surfaces or nano particles in a solution, configured to adsorb molecules of a sample material captured adjacent to the sensor, a laser that can emit a laser beam to illuminate the molecules adsorbed to the nano structured surfaces, a spectrometer that can produce spectral data from light scattered by the molecules adsorbed to the nano structured surfaces, and a ID reader that can retrieve identification information about the sample material. A central office can determine a spectral signature matching spectral signatures stored in a database and to identify a harmful substance in the sample material. An alert and response system can send out an alert signal about the sample material when the harmful substance is identified in the sample material.

A marking system for use with a multi-spectral imager for use in high throughput sortation of articles having distorted or irregular surfaces is disclosed. Specific uses include, but are not limited to, document sorting, garment and textile rental operations, laundry operations, and mail and package sorting and identification. Methods and apparatus are provided to remotely identify items via information that is wavelength-encoded within an applied mark, as well as a mark reading / decoding scheme. In the preferred embodiment the marks are multi-dimensional. In one preferred embodiment the marks are used to realize multi-dimensional wavelength-enabled coding schemes. The marks can be overlayed one upon another and / or they can contain one or more key regions having at least one predetermined spectral characteristic for providing information related at least to reading and / or decoding the marks.

An enhancement system improves the perceptual quality of a processed speech. The system includes a delay unit that delays a signal received through a discrete input. A spectral modifier linked to the delay unit is programmed to substantially flatten the spectral character of a background noise. An adaptive filter linked to the spectral modifier adapts filter characteristics to match a response of a non-delayed signal. A programmable filter is linked to the delay unit. The programmable filter has a transfer function functionally related to a transfer function of the adaptive filter.

The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. According to embodiments of the invention, a plant analysis system is configured determine a spectral signature of a plant based on spectral data, and plant color based on photographic data. The spectral signatures and plant color are associated with assembled point cloud data. Morphological data of the plant can be generated based on the assembled point cloud data. A record of the plant can be created that associates the plant with the spectral signature, plant color, spectral data, assembled point cloud data, and morphological data, and stored in a library.

A method and apparatus for identifying running vehicles in an area to be monitored using acoustic signature recognition. The apparatus includes an input sensor for capturing an acoustic waveform produced by a vehicle source, and a processing system. The waveform is digitized and divided into frames. Each frame is filtered into a plurality of gammatone filtered signals. At least one spectral feature vector is computed for each frame. The vectors are integrated across a plurality of frames to create a spectro-temporal representation of the vehicle waveform. In a training mode, values from the spectro-temporal representation are used as inputs to a Nonlinear Hebbian learning function to extract acoustic signatures and synaptic weights. In an active mode, the synaptic weights and acoustic signatures are used as patterns in a supervised associative network to identify whether a vehicle is present in the area to be monitored. In response to a vehicle being present, the class of vehicle is identified. Results may be provided to a central computer.

A system and method for assessing a condition of property for insurance purposes includes a sensor for acquiring a spectral image. In a preferred embodiment, the spectral image is post-processed to generate at least one spectral radiance plot, the plot used as input to a radiative transfer computer model. The output of the model establishes a spectral signature for the property. Over a period of time, spectral signatures can be compared to generate a spectral difference, the difference attributed to a change in the condition of the property, such as a fire or flood. In response to the change, an insurance company initiates an insurance-related action such as processing a claim.

A method and / or arrangement for the analysis of fluorescing samples in an image-generating microscope system, preferably a laser scanning microscope, wherein the sample is scanned point-by-point or line-by-line in at least one surface section and a dispersive splitting of the radiation coming from the sample is carried out during the scanning, wherein the split radiation is detected by at least one line of detector elements in a wavelength-dependent manner, a selection of two-dimensional or three-dimensional sample parts which correspond to pre-stored two-dimensional or three-dimensional geometric objects or the like is carried out based on the recorded and stored intensity distribution of at least one of these detection elements and / or at least one other detection element for the radiation reflected from the sample by image processing, and an analysis of the spectral signature and / or spatial spectral sequence is carried out for at least a portion of these sample regions with respect to the fluorescence markers arranged thereon.

A process for measuring the absorption spectrum of a target analyte using a cavity ring down spectrometer, comprising the steps of: i) tuning the spectrometer laser so that the light transmitted from the laser into the spectrometer optical cavity is varied over a wavelength interval which encompasses both the absorption wavelength of a spectral feature of the target analyte and a plurality of the free spectral ranges of the optical cavity; ii) triggering a plurality of ringdown events; iii) for each ringdown event, recording the decay time constant and the trigger time at which the light into the cavity is shut off; iv) organizing the decay time constants, light wavelengths and trigger times as a function of trigger time; v) ordering said light wavelengths by increasing value and placing groups of wavelengths into individual bins; vi) computing the average wavelength of each bin group; vii) grouping the decay time constants and trigger times into bins that parallel said wavelength bins, with the decay time constants in each of said parallel bin being arranged by increasing trigger time; viii) computing the average decay time for each decay time bin and using this decay time average, together with the average wavelength from the parallel wavelength bin, to compute the optical loss for the target analyte at said average wavelength.

Combinatorially-synthesized deoxyribonucleic acid (DNA) oligonucleotides attached to encoded beads that are hybridized to amplified and labeled genomic DNA or ribonucleic acid (RNA) are analyzed using a flow imaging system. Oligonucleotides and corresponding reporters are bound to the surfaces of a plurality of small beads such that different beads bear different oligo sequences. Each bead bears a unique optical signature comprising a predefined number of unique reporters, where each reporter comprises a predefined combination of different fluorochromes. The composite spectral signature in turn identifies the unique nucleotide sequence of its attached oligo chains. This optical signature is rapidly decoded using an imaging system to discriminate the different reporters attached to each bead in a flow in regard to color and spatial position on the bead.

An optical spectroscopy apparatus determines the concentration of analyte in a specimen that utilizes a single radiation source which is hybrid laser comprising a semiconductor pump laser and small-cavity rare earth fiber laser where laser cavities of both lasers are butt coupled or otherwise optically coupled to form a plurality of laser cavities that produce a plurality of emission wavelengths, one which may be the pump laser emission wavelength at the output of the fiber laser thereby forming a multi-wavelength combined output where the wavelengths substantially match distinguishing spectral characteristic features along at least a portion of a characteristic optical spectrum of the analyte under examination.

The invention discloses a grain moisture content detecting method based on a hyperspectral image technology, which comprises the following steps: respectively acquiring an all black calibrated image B, an all white calibrated image W and a hyperspectral original data image I of grains the moisture content of which is given; carrying out reflection spectral correction on the hyperspectral original data image I of grains by the all black calibrated image B and the all white calibrated image W to obtain a corrected image R of grains; extracting the grain image from the corrected image R; carrying out spectral correction by a moving average method and multiplicative scatter correction; calculating the correlation coefficients of spectral reflection values and the moisture content; selecting a correlation coefficient as the maximum spectral reflection value to be input into an artificial neural network; and establishing a grain moisture prediction model. In the invention, the grain moisture content is detected by the artificial neural network according to the spectral signature of the grains caused by the moisture content, a quick stable method is provided, and the detecting efficiency is improved.

The spectral diversity of the iris can be used as a unique biometric identifier. By careful selection of a number of spectral bands, four or more, the hyper-spectral signature derived from data contained in those bands can distinguish color signatures that are not visually distinguishable in RGB color space to uniquely identify a person. Classification of hyper-spectral signatures requires less spatial resolution than the classification of texture signatures, maybe an order of magnitude or more. This reduces the size of the sensor aperture required at a given range.

Spectroscopy apparatuses oriented to the critical angle of the sample are described that detecting the spectral characteristics of a sample wherein the apparatus consists of an electromagnetic radiation source adapted to excite a sample with electromagnetic radiation introduced to the sample at a location at an angle of incidence at or near a critical angle of the sample; a transmitting crystal in communication with the electromagnetic radiation source and the sample, the transmitting crystal having a high refractive index adapted to reflect the electromagnetic radiation internally; a reflector adapted to introduce the electromagnetic radiation to the sample at or near an angle of incidence near the critical angle between the transmitting crystal and sample; and a detector for detecting the electromagnetic radiation from the sample. Also, provided herein are methods, systems, and kits incorporating the peri-critical reflection spectroscopy apparatus.

A spectral bio-imaging method for enhancing pathologic, physiologic, metabolic and health related spectral signatures of an eye tissue, the method comprising the steps of (a) providing an optical device for eye inspection being optically connected to a spectral imager; (b) illuminating the eye tissue with light via the iris, viewing the eye tissue through the optical device and spectral imager and obtaining a spectrum of light for each pixel of the eye tissue; and (c) attributing each of the pixels a color according to its spectral signature, thereby providing an image enhancing the spectral signatures of the eye tissue.

Detection and tracking of an object by exploiting its unique reflectance signature. This is done by examining every image pixel and computing how closely that pixel's spectrum matches a known object spectral signature. The measured radiance spectra of the object can be used to estimate its intrinsic reflectance properties that are invariant to a wide range of illumination effects. This is achieved by incorporating radiative transfer theory to compute the mapping between the observed radiance spectra to the object's reflectance spectra. The consistency of the reflectance spectra allows for object tracking through spatial and temporal gaps in coverage. Tracking an object then uses a prediction process followed by a correction process.

Spectrometer instruments are characterized by classifying their spectra into previously defined clusters. The spectra are mapped to the clusters and a classification is made based on similarity of extracted spectral features to one of the previously defined clusters. Calibration models for each cluster are provided to compensate for instrumental variation. Calibration models are provided either by transferring a master calibration to slave calibrations or by calculating a separate calibration for each cluster. In one embodiment, a simplified method of calibration transfer maps clusters to each other, so that a calibration transferred between clusters models only the difference between the two clusters, substantially reducing the complexity of the model.

A method for remotely detecting whether a subject is alive, comprising the steps of determining a calibration spectral signature for light reflectance from living skin, normalizing the calibration spectral signature values to the calibration reflectance value at a reference wavelength, storing the normalized calibration spectral signature, determining a subject spectral signature of the light reflectance of a region of skin of the subject whose liveness is to be determined, normalizing the subject spectral signature values to the subject reflectance value at the reference wavelength, comparing the normalized subject spectral signature with the normalized calibration spectral signature for at least one wavelength, generating a subject liveness signal based on the comparison of the normalized subject spectral signature with the normalized calibration spectral signature, and emitting the subject liveness signal.

The invention discloses a hyperspectral remote sensing image small target detection method based on spectrum saliency and belongs to the field of hyperspectral remote sensing images. When the method is used for target detection, local saliency is calculated with an improved Itti model by means of spectrum information and spatial information extracted from a hyperspectral image, and a local saliency map is constructed; then global saliency is calculated with an improved evolutionary programming method, and a global saliency map is constructed; finally, the local saliency map and the global saliency map are combined in a normalized mode to obtain an overall vision saliency map which is taken as the final target detection result. According to the method, a saliency model suitable for the hyperspectral image is established according to the spectrum saliency, image interested target detection is achieved based on comprehensive analysis of the spectral signature and spatial signature of the hyperspectral image, main contents of the image are highlighted, and image processing and analyzing complexity is reduced.

The illustrated embodiment is an improvement in a method of optically analyzing tissue in vivo in an individual to obtain a unique spectrum for the tissue of the individual, the improvement including the steps of optically measuring the tissue of the individual to obtain a spectrum of an optical parameter, and identifying a spectral signature specific to a metabolic or physiologic state in the tissue of the individual with a unique spectrum for the tissue by considering only the spectral differences between a first metabolic or physiologic state of the tissue of the individual and one or more other metabolic or physiologic states of the tissue of the individual such that identification of the spectral signature is self-referencing with respect to intra-individual metabolic or physiologic variations. The method also includes separating benign and malignant lesions only using the shape or a characteristic of the spectrum.

A system comprises a processing chamber for maintaining a hydrogen plasma at low pressure. The processing chamber has a long, wide, thin geometry to favor deposition of thin-film silicon on sheet substrates over the chamber walls. The sheet substrates are moved through between ends. A pair of opposing radio frequency electrodes above and below the workpieces are electrically driven hard to generate a flat, pancaked plasma cloud in the middle spaces of the processing chamber. A collinear series of gas injector jets pointed slightly up on a silane-jet manifold introduce 100% silane gas at high velocity from the side in order to roll the plasma cloud in a coaxial vortex. A second such silane-jet manifold is placed on the opposite side and pointed slightly down to further help roll the plasma and maintain a narrow band of silane concentration. A silane-concentration monitor observes the relative amplitudes of the spectral signatures of the silane and the hydrogen constituents in the roll-vortex plasma and outputs a process control feedback signal that is used to keep the silane in hydrogen concentration at about 6-7%.