G06T2207/10048

Multispectral Imaging For Thermal And Electrical Detection Systems And Methods
20230040707 · 2023-02-09 ·

Multispectral imaging and related techniques are provided to detect thermal and non-thermal anomalies at reduced false detection rates. A multispectral imaging system includes an infrared light imaging sensor that captures infrared image data in a first spectral band, of a scene and an ultraviolet light imaging sensor that captures ultraviolet image data in a second spectral band, of the scene. The system also includes a processor that combines the ultraviolet image data and the infrared image data to generate composite image data, determines a ratio of a first radiant intensity in the first spectral band to a second radiant intensity in the second spectral band, from the composite image data, and determines whether the ratio corresponds to a predetermined radiant intensity ratio of a known thermal or electrical anomaly. The processor can detect the thermal or electrical anomaly when the determined ratio corresponds to the predetermined radiant intensity ratio.

Method for calibrating a photodetector array, a calibration device, and an associated imaging system
11557063 · 2023-01-17 · ·

A method for calibrating a photodetector array supplying a video stream includes: a determination step, wherein an offset table is determined for each current image of the video stream based on at least two corrections from among the following: a first correction from a comparison of the current image to a corresponding predetermined reference table; a second correction from a calculation of a column error of the current image; and a third correction from a high-pass temporal filtering of the video stream; and a calculation step, wherein a current value of an offset table, equal to a sum between a previous value of the offset table and a weighted sum of at least two corrections, is calculated, with each coefficient of the offset table being associated with a respective photodetector of the array.

Gardening apparatus

A gardening apparatus includes one or more of a base, a fluid reservoir, and a plant tray or support disposed on the reservoir. The support is adapted for receiving one or more modular plant inserts, and can define a flow structure for channeling fluid to each insert. A pump supplies fluid from the reservoir to the plant tray or support, with a light assembly adapted to generate a spectrum of light for growth of plants from the inserts. A processor is configured for controlling fluid flow from the pump, the light spectrum generated by the lighting elements, or both. For example, the processor can use a dynamic recipe, algorithm or control schedule to modulate the fluid flow or spectrum based the plant type, growth stage, height, plant health data, digital phenotyping data, or ambient conditions, or a combination thereof.

IMAGE GENERATING APPARATUS AND IMAGE GENERATING METHOD

Irradiation light in a visible light region is irradiated to a sample while switching irradiation of infrared light IR having a wavelength that corresponds to the infrared absorption spectrum of an observation target material included in the sample between a first state and a second state. A first image and a second image are generated based on the phase distribution, the intensity distribution, and the polarization direction distribution of the light including the irradiation light that has passed through the sample in synchronization with the switching of the infrared light IR irradiation between the first state and the second state. Subsequently, an output image is generated so as to represent one from among the position, size, and shape based on the difference and/or ratio with respect to the pixel values for each pixel between the first image and the second image.

VIRTUAL THERMAL CAMERA IMAGING SYSTEM
20230007862 · 2023-01-12 ·

System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.

Repetitive video monitoring of industrial equipment by mobile data acquisition units

Systems and methods are provided to perform PdM surveys using data acquisition units which scan screen multiple locations where equipment or structures to be evaluated are present. Video data will be acquired and processed to measure translational and vibratory motion and additional data will be collected from other camera, sensors or via data links. The motion present in the equipment or structures under test and the supplemental data will be automatically evaluated to detect suspect equipment conditions and to minimize the amount of video data maintained on the data acquisition unit and transmitted back the central PdM server for review by a PdM analyst and long term archival.

IMAGE PROCESSING FOR OVERSAMPLED INFRARED IMAGING
20230041139 · 2023-02-09 ·

A method is described. The method includes receiving oversampled infrared data provided from an infrared pixel array. The method also includes performing at least one of selective median filtering, spatial-temporal filtering, or resolution enhancement for the oversampled infrared data.

VISUAL POSITIONING SYSTEM AND METHOD BASED ON HIGH REFLECTIVE INFRARED IDENTIFICATION
20180003498 · 2018-01-04 ·

A visual positioning system based on highly infrared-reflective identification, including a plurality of identification points (102), an infrared photographing device (101) and an image processing unit (103). The plurality of identification points (102) is passive identification points made of a highly infrared-reflective material and are arranged at equal intervals in a plane to be positioned; the infrared photographing device (101) is used for shooting a reflective image of the identification points (102); and the image processing unit (103) obtains a relative position and relative attitude variation by acquiring and analyzing information about an image shot by an infrared camera (101a). Also provided is a visual positioning method based on highly infrared-reflective identification. The visual positioning system and method have the advantages of simple structure, no need of power supply, low costs, no delay and high positioning precision.

SYSTEM AND METHOD FOR DETECTING DEFECTS IN A COMPONENT

A method for inspecting a component is presented. The method includes inducing, by an inductive coil, an electrical current flow into the component. Further, the method includes capturing, by an infrared (IR) camera, at least a first set of frames and a second set of frames corresponding to the component, wherein the first set of frames is captured at a first time interval and a second set of frames is captured at a second time interval. Also, the method includes constructing, by a processing unit, a thermal image based on at least the first set of frames and the second set of frames corresponding to the component. Furthermore, the method includes determining presence of a thermal signature in the thermal image, wherein the thermal signature is representative of a defect in the component.

Cloud-based framework for processing, analyzing, and visualizing imaging data

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for detecting objects located in an area of interest. In accordance with one embodiment, a method is provided comprising: receiving, via an interface provided through a general instance on a cloud environment, imaging data comprising raw images collected on the area of interest; upon receiving the images: activating a central processing unit (CPU) focused instance on the cloud environment and processing, via the image, the raw images to generate an image map of the area of interest; and after generating the image map: activating a graphical processing unit (GPU) focused instance on the cloud environment and performing object detection, via the image, on a region within the image map by applying one or more object detection algorithms to the region to identify locations of the objects in the region.