Abstract:
An object detection system for a vehicle comprising an infrared camera for gathering an image of at least a part of the surroundings of the vehicle; and a processor for applying an algorithm to at least a part of the image gathered by the camera, the algorithm identifying non-relevant hot or warm objects (5,6,7) detected by the camera and reducing the brightness and/or distinctiveness of the non-relevant objects (5,6,7) in the image; and a display for displaying the image to a driver of the vehicle, characterised in that the infrared camera forms an image in the far infrared; and the algorithm identifies non-relevant hot or warm objects (5,6,7) detected by the camera.
Abstract:
Methods and systems for detecting the presence of concealed objects. One embodiment of the method of these teachings for detecting the presence of concealed objects is passive, does not require any external radiation source, uses thermal radiation of a body as a source of radiation. Other embodiments include unique systems, devices, methods, and apparatus to determine the presence of a concealed object.
Abstract:
A method of measuring the temperature of a sheet material arranged such that it forms at least one side of a cavity, so as to enhance the effective emissivity of the sheet material in the vicinity of the cavity comprises: generating a thermal image of at least part of the inside of the cavity, the thermal image comprising a plurality of pixels each having a pixel value representative of radiation emitted by a respective region of the cavity; identifying a first subset of the pixels whose pixel values meet predetermined criteria; using the identified first subset to determine a line on the thermal image representative of optimal emissivity enhancement in the cavity; and selecting a second subset of the pixels based on the determined line and generating a temperature profile along the determined line derived from the pixel values associated with each of the second subset of pixels.
Abstract:
A thermal measurement system includes a number of detectors configured to receive radiation within respective wavelength ranges. The system also includes a mirror configured to selectively direct the radiation from an object to each of the detectors. The system further includes an actuator mechanically coupled to the mirror and configured to rotate the mirror through a number of angles. The system also includes an optical and probe subsystem disposed between the object and the mirror to focus the radiation on to the mirror.
Abstract:
A monitor for measuring the temperature distribution of a product (12) including a plurality of ball lenses (14) lying in a lenticular array (18) across the product (12). A signal processor (22) is connected to a photodiode array (20). Each photodiode in the array (20) is connected by a separate optical fiber (16) to one of the ball lenses (14).
Abstract:
A device and method are provided for determining the bulk (average) temperature, surface temperature, temperature profile, and thickness of radiation translucent materials. These material functions are determined by evaluation of the intensity of the radiation emitted from the material using two detectors with a radiation source placed in the optical path of one of the detectors. The data is taken at several intensities of source radiation and reduced to obtain the bulk temperature and material thickness. The second detector is used to measure the surface temperature. These data are then used to determine the temperature profile in the material.
Abstract:
Described herein are systems and methods for detecting a physiological response based on multispectral data. In one embodiment, a system includes an inward-facing head-mounted thermal camera (CAM) that takes thermal measurements of a first region of interest (THROI1) on a user's face, and an inward-facing head-mounted visible-light camera (VCAM) that takes images of a second region of interest (IMROI2) on the face. The first and second regions of interest overlap, and the system includes a computer that detects the physiological response based on THROI1, IMROI2, and a model. Optionally, the model was trained based on previous THROI1 and IMROI2 of the user taken during different days. Optionally, the physiological response is indicative of an occurrence of an emotional state of the user, such as joy, fear, sadness or anger.
Abstract:
Described herein are systems and methods for detecting a physiological response based on thermal measurements while accounting for effects of the environment. In one embodiment, a system includes an inward-facing head-mounted thermal camera (CAMin) that takes thermal measurements of a region of interest (THROI) on a user's face, and an outward-facing head-mounted thermal camera (CAMout) that takes thermal measurements of the environment (THENV). CAMin does not occlude the region of interest, and the system further includes a computer that detects the physiological response based on THROI and THENV. Optionally, the computer generates feature values based on sets of THROI and THENV, and utilizes a machine learning-based model to detect, based on the feature values, the physiological response.
Abstract:
A method of detecting temperature changes with infrared includes the steps of providing a plurality of infrared detection devices for detecting temperature changes in a region; turning on the plurality of infrared detection devices one by one at a first time interval; capturing temperature signals of the plurality of infrared detection devices one by one at a second time interval; and comparing the temperature signals with a background temperature signal to calculate temperature differences and thereby detect temperature changes in the region. A method of detecting moving vehicles with infrared is further introduced.
Abstract:
Techniques are provided for an image processing device to receive image information comprising image data for a plurality of mid-wave infrared region (MWIR) channels, where the image data is obtained during a first imaging period and during a second imaging period temporally different from the first imaging period. A plurality of sets of atmospheric wind vectors are calculated using differences between image data obtained during the first imaging period and the image data obtained during the second imaging period for corresponding sets of MWIR channels. An altitude is assigned to the plurality of atmospheric wind vectors in each set based on a brightness temperature of each wind vector and a pre-computed atmospheric temperature profile to generate a set of two-dimensional wind fields comprising one two-dimensional wind field for each set of MWIR channels.