256 results about "Ir image" patented technology

Provided are an infrared (Ir) face authentication apparatus, and a portable terminal and a security apparatus including the Ir face authentication apparatus. The Ir face authentication apparatus includes: a light source irradiating Ir light having a wavelength of 760 nm or higher onto a face; an imaging unit detecting reflected light of the Ir light to output an Ir image; and an authenticator performing authentication of the face using the Ir image. The Ir face authentication apparatus further includes a display displaying the Ir image output from the imaging unit, and the image unit and the display are installed on the same surface.

What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera's visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.

The present disclosure relates to combination of images. A method according to an embodiment comprises: receiving a visual image and an infrared (IR) image of a scene; extracting high spatial frequency content from said visual image; and combining said extracted high spatial frequency content from said visual image with said IR image, wherein a resolution for the visual image and the IR image are substantially the same, to generate a combined image.

A solar receiver system for utilizing solar energy to produce electrical power and to generate a temperature profile of a plurality of receiver tubes utilized in the system. The solar receiver system includes a solar receiver having a plurality of receiver panels including the plurality of receiver tubes through which a coolant flows. Additionally, the solar receiver system includes a plurality of IR cameras adapted to view at least a portion of a surface area of the solar receiver. Each IR camera is adapted to have a field of view including a different specified region of the surface area of the solar receiver. Furthermore, the solar receiver system includes a master control system adapted to receive an IR image from each IR camera, wherein each IR image depicts surface area temperatures and variances over the region of the solar receiver viewed by each IR camera. The master control system generates a temperature profile of the surface area of the solar receiver utilizing the IR images.

What is disclosed is a novel system and method for identifying an individual in an IR image involves the following. Intensity values are collected at N wavelengths for each pixel in an IR video-based image. The intensity values are collected using an IR imaging system having an IR detector and an IR Illuminator. The intensity values are then used to identify pixels of human skin in the IR image. If human skin is identified in the IR image then, the human hand is identified in the IR image from the human skin to distinguish the hand from the background. Vein patterns in the hand are then located and extracted. A reference vein pattern is retrieved from a database of known vein patterns for individuals, and a comparison is made to determine a match. If a match is determined, then the individual in the captured IR image can be identified.

The present disclosure relates to a method of improving an IR image comprising capturing a visual image and an IR image of an object, altering a resolution of at least one of said visual image and IR image, high pass filtering said visual image to generate a processed visual image, low pass filtering said IR image to generate a processed IR image, and combining information from said processed visual image and said processed IR image to generate a combined image.

An infrared (IR) light camera or sensor that provides temperature alarms. The temperature alarms may be audible, vibrational, and visual to indicate when a portion of the IR image meets user-defined alarm criteria. Visual alarms may be provided by displaying on a camera display unit the portions of the IR image that meet the alarm criteria.

Described are methods and systems for providing improved defect detection and analysis using infrared thermography. Test vectors heat features of a device under test to produce thermal characteristics useful in identifying defects. The test vectors are timed to enhance the thermal contrast between defects and the surrounding features, enabling IR imaging equipment to acquire improved thermographic images. In some embodiments, a combination of AC and DC test vectors maximize power transfer to expedite heating, and therefore testing. Mathematical transformations applied to the improved images further enhance defect detection and analysis. Some defects produce image artifacts, or “defect artifacts,” that obscure the defects, rendering difficult the task of defect location. Some embodiments employ defect-location algorithms that analyze defect artifacts to precisely locate corresponding defects.

The optical biometric sensor apparatus and methods for analyzing images of biometric features such as fingerprints are adapted to distinguish between live body members and inanimate objects, and to detect spoofing devices applied to live body members. Live body members are detected by transmitting IR light from a first IR light source through an object to an image sensor. The IR transmission characteristics of a live body member vary with the human heartbeat, and multiple images are analyzed to verify whether the object is a genuine live body member. A visible light source illuminates the object for obtaining a detailed image from the sensor for conventional biometric analysis. Transmitted IR images and reflected visible light images are also processed to detect the presence of spoofing devices applied to live body members. Multiple IR and visible light sources of different wavelengths may be used for this purpose.

A camera (1) arranged to generate an IR image (21) and a visible light image (23) is proposed, said camera comprising a thermal imaging part (3) for registering IR radiation from a first field of view, a visible light imaging part (9) for registering visible light from a second field of view at least partially overlapping with the first field of view, and a processing device (15) for processing the information related to the registered IR radiation and the registered visible light information. The processing device (15) is arranged to identify any moving objects that are detectable by the thermal imaging part (3) and not by the visible light imaging part (9), and presenting said moving objects, if any, in such a way that they will be easily recognizable by an operator.

A multi-color IR imaging device includes optics that direct mid-wave infrared (MWIR) and long-wave infrared (LWIR) radiation onto a focal plane array having LWIR and MWIR detection layers. Pixel groups that include at least one first pixel and one second pixel are defined on the focal plane array, and a first filter and a second filter which form part of an inhomogeneous filter is placed over the respective first and second pixels in a checkerboard pattern, in close proximity to the detection layers. This allows MWIR radiation in M band, and LWIR radiation in an L1 band to pass therethrough and illuminate the first pixels, and M, L1, and a separate LWIR band designated L2 to pass therethrough and illuminate the second pixels. To simultaneously image both MWIR and LWIR, the focal plane array is placed at a predetermined distance from the optics so that the MWIR spot size covers a single pixel and the LWIR spot size is about the same area as the area of a group of two first pixels and two second pixels. Since all pixels receive the M band, half of the pixels in the group receive the L1 band, and the other half receives the L2 band, three bands can be generated. This allows simultaneous imaging of MWIR and two sub-bands of the LWIR from the same point in space.

An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.

Sub-arrays such as tiles or chips having pixel elements arranged on a routing layer or carrier to form a larger array. Through-chip vias or the like to the backside of the chip are used for connecting with the pixel elements. Edge features of the tiles may provide for physical alignment, mechanical attachment and chip-to-chip communication. Edge damage tolerance with minimal loss of function may be achieved by moving unit cell circuitry and the electrically active portions of a pixel element away from the tile edge(s) while leaving the optically active portion closer to the edge(s) if minor damage will not cause a complete failure of the pixel. The pixel elements may be thermal emitter elements for IR image projectors, thermal detector elements for microbolometers, LED-based emitters, or quantum photon detectors such as those found in visible, infrared and ultraviolet FPAs (focal plane arrays), and the like. Various architectures are disclosed.

An infrared sensor contains a sensor array and a sensitivity adjuster. The sensor array collects IR energy from an external scene, and the sensitivity adjuster adjusts a pixel grouping for light collection and / or readout, so that the resulting IR image is available at a required sensitivity level.

The optical biometric sensor apparatus and methods for analyzing images of biometric features such as fingerprints are adapted to distinguish between live body members and inanimate objects, and to detect spoofing devices applied to live body members. Live body members are detected by transmitting IR light from a first IR light source through an object to an image sensor. The IR transmission characteristics of a live body member vary with the human heartbeat, and multiple images are analyzed to verify whether the object is a genuine live body member. A visible light source illuminates the object for obtaining a detailed image from the sensor for conventional biometric analysis. Transmitted IR images and reflected visible light images are also processed to detect the presence of spoofing devices applied to live body members. Multiple IR and visible light sources of different wavelengths may be used for this purpose.

A method for identifying types of flaws in a composite object includes: a) rapidly heating the surface of the object; b) recording pixel intensities in a sequence of IR images; c) determining temperature-versus-time data for each of the pixels from the IR images; and d) determining what type of flaw if any corresponds to each of the pixels using the temperature-versus-time data determined in step (c). A contrast curve derived from the temperature-versus-time data may be used in determining what type of flaws if any corresponds to each of the pixels. The contrast curve may be determined by subtracting a synthetic reference curve from a temperature time curve from the temperature-versus-time data. The types of flaws may be determined from size and / or shapes of peaks in the contrast curves. Some flaws are delaminations, layers of porosity, and uniformly distributed porosity.

An actively quenched lamp includes a lamp and an active quenching means configured to quench the lamp. An infrared (“IR”) thermography imaging system includes at least one lamp configured to heat a surface of an object to be imaged, at least one active quenching means configured to quench the lamp, and an IR camera configured to capture a number of IR image frames of the object. A method, for actively controlling flash duration for IR thermography, includes generating an initial control signal T0, a lamp control signal T1, and a control signal T2. The method further includes activating a quenching means in response to initial control signal T0, to allow current I to flow to a lamp, activating the lamp in response to lamp trigger signal T1, and turning off the quenching means in response to control signal T2 to cut off the current I to the lamp.

The present invention provides a smart body temperature screening system (100) at controlled area and includes: images of controlled area (110); an IR image capturing and thermal analysis system (120) configured to take in digitized IR images sequences and determine the pixel coordinates with temperature higher than pre-determined thresholds; a color image capturing and location tracking system (130) configured to capture the color image sequence and determine the pixel coordinates of human, combine the pixel coordinates from the IR image capturing and thermal analysis system with the pixel coordinates of human to identify the pixel coordinates of feverish suspects with above threshold temperature; a facial image capturing system (140) configured to capture the pictures of the feverish suspects according to the pixel coordinates of feverish suspects and the original color images from the color image capturing and location tracking system; a virtual floor plan visualization system (150) configured to map the pixel coordinates of feverish suspects on to a virtual floor plan; a machine learning system (160) configured to use machine learning to minimize the influence of environmental factors and improve the accuracy for detecting the feverish persons from the feverish suspects. The present invention can smartly identify and locate fever suspects without locking the fever suspects in a specific area.

What is disclosed is a novel system and method for determining the number of persons in an IR image obtained using an IR imaging system. The present method separates a human from the surrounding background via a set of particularly formed intensity ratios. Quantities derived from these ratios and threshold values are used to selectively classify whether a pixel in the IR image is from a human or from a non-human. Based upon the classification of the various pixels in the IR image, the number of persons is determined. Various embodiments are disclosed.

A file format for storing IR images together with other types of data, such as camera settings, text information, and sound is disclosed. An apparatus and a method for bundling and analyzing data obtained via an IR camera and for determining actions to be taken based on the data are disclosed, as well as a method for gathering data.

An object detection system is disclosed in at least one embodiment. The system includes a far IR sensor operable to sense thermal radiation of objects and surroundings in a field of view and to generate a far IR image in response thereto, and an image processing device operable to receive and process the far IR image to detect the presence of one or more objects in the field of view. The image processing device can be configured to process the far IR image by generating an initial threshold image based on the far IR image and an initial threshold value, iteratively obtaining a number of successive threshold images based on the far IR image and a number of successively increased threshold values, and determining the presence of one or more objects in the field of view based on the threshold images and threshold values.

The present technique relates to a display control device, a method, and a program that can improve user's operability of a free-cursor type user interface.An imaging unit outputs an RGB image based on a pixel signal corresponding to a visible light among light input through a lens and an IR image based on a pixel signal corresponding to an infrared light among light input through the lens. An ROI set unit sets a movement area of an infrared light source in the IR image based on the RGB image, and a display control unit controls a cursor movement amount on a display unit according to movement of the infrared light source in the movement area. The present technique can be applied to a television set that monitors a viewing condition of a viewer, for example.

An illumination device includes a light guide made of plastic, and a light source including a light emitting element whose dominant wavelength is a light emission wavelength in an infrared region, and identifies a banknote. White reference plates are provided at positions that are at opposite ends of a rod lens array and cover respective areas external to an image region across the banknote. A correction coefficient is acquired by calculation. The calculation is made by correcting an illuminance such that IR correction data is substantially identical to IR reference data preliminarily stored in a memory circuit in a signal processor on the basis of IR white reference data representing a white reference illuminance generated from light reflected from the white reference plates. The correction coefficient is used for correcting IR image data when the banknote is read.

A two-dimensional field of regard is scanned with a single plane mirror in the object space of a telescope, maintaining a fixed relationship between the rotational direction of scan and the projection of the telescope's focal plane. The two dimensional field of regard is covered by a series of conical arcs, each arc being scanned by rotation at constant angular velocity about the inner axis of the two-axis system. This scanning system accommodates applications such as TDI that require an opto-mechanical scan with a constant linear velocity (magnitude and direction) in the focal plane. Shading of IR images is mitigated by calibration at the ends of each scan line and by a scan geometry that minimizes changes in reflection angle.

Described herein is an IR camera that can prepare a report on-board the camera in a standard file format that is substantially universally readable by a number of receiving devices, including but not limited to computers. The report preferably includes at least one IR image, at least one visual image and a table that can be populated with the output of any of the camera's measurement functions or any parametric information (time, date, emissivity, background temperature, GPS location, etc.). The report may also include text, voice, and / or visual / graphical comments and recommendations. The comments may be added directly to the report or hyperlinked to the report.

The present invention provides an image processing device, an image processing method, and a recording medium that enable various defect portions to be accurately corrected. R, G, B, and IR are respectively read in an image recorded on a photographic film and transverse chromatic aberration correction is performed on each of the R, G, B, and IR image data. Subsequently, defect portions in the image being processed are detected based on the IR data, and predetermined feature amounts are calculated for the image portion being processed. Based on the results of this calculation, either one of the interpolation method or brightness adjustment method is selected as the correction method for the defect portion being processed, or the ranges in which each of these correction methods is to be applied are decided. Consequently, either one of the two correction methods or both correction methods are applied and the correction values decided, and the final correction values are then determined.

Disclosed is a color night vision system including a single-4-color image sensor configured to acquire a red, green, blue (RGB) image and an infrared (IR) image by processing RGB light signals and an IR light signal for each wavelength; and a processor configured to determine an exposure state of the RGB image by analyzing a brightness distribution of the RGB image, to decide at least one of an exposure compensation level of the RGB image, a denoising level of the RGB image, or a synthesis ratio between the RGB image and the IR image based on the determination result, and to create an output image based on the decision result that is made using the RGB image and the IR image.