12 results about "Spectral properties" patented technology

Various implementations disclosed herein include devices, systems, and methods that initiate an action based on a detected gaze direction oriented towards a target area (e.g., a hot corner / zone). For example, an example process may include producing a reflection by directing light towards an eye using an illuminator, receiving sensor data from a sensor, wherein a direction of sensing by the sensor (e.g., the optical axis of the camera) and a direction from the eye to a target area are approximately aligned, determining a reflective property (e.g., a spectral property) of the reflection based on the sensor data, detecting that a gaze direction of the eye is approximately oriented towards the target area (e.g., a hot zone / spot) based on the reflective property, and initiating an action based on detecting that the gaze direction is approximately oriented towards the target area.

To provide a spectroscopic measurement device and an article inspection apparatus capable of adjusting an amount of light acquired by a light detection section to an appropriate amount of light.SOLUTION: A spectroscopic measurement device includes: a light source section 3 that irradiates a tablet W with light from a light source 30; and a light detection section 4 that measures a spectral characteristic of transmitted light emitted from the light source section 3 and transmitted through the tablet W with a spectroscope 42. The light source section 3 is configured such that a relative distance D1 to the tablet W is adjustable, and the light detection section 4 is configured such that a relative distance D2 to the tablet W is adjustable.SELECTED DRAWING: Figure 1

A system and method for performing calibration of a measurement module provided to measure spectral characteristics (e.g., spectrum) of a laser beam of a radiation source, where the system includes a reference radiation source, and the method includes calibrating the measurement module using the reference radiation source.

This invention discloses a detection method and system for detecting tire defects, comprising the following steps: acquiring original image sequences of the tire under four different illumination angles; calculating the normal vector data N and albedo data ρ of the target surface based on the original image sequence using a photometric stereo algorithm and a preset light source direction matrix L; constructing a feature image containing three independent physical dimensions based on the normal vector data N and albedo data ρ: a first feature map representing macroscopic geometric deformation, a second feature map representing the spectral properties of the material, and a third feature map representing microscopic texture deviation; merging the first, second, and third feature maps into multi-channel image data, and using it as input data for training or inference of a deep learning model to output whether the tire has defects and the type of defects; this invention constructs high signal-to-noise ratio input data to determine whether the tire has defects.

The invention relates to a detection method based on airborne multispectral mosaic image spatial-spectral feature extraction, and belongs to the field of unmanned aerial vehicle detection. The method comprises the following steps: taking a low-altitude airborne multispectral mosaic image as input, and carrying out wave band disassembly to obtain an original spectral feature map; performing spatial-spectral feature quantization by applying a multi-dimensional feature operator to generate descriptors, and calculating a correlation matrix by utilizing a Pearson's correlation coefficient; calculating a channel redundancy coefficient, evaluating the importance of each wave band in combination with a spatial-spectral feature descriptor, and extracting spectral features; dynamically determining the grouping number according to the correlation and the spatial-spectral characteristics, and automatically grouping wavebands; spatial continuous features are extracted through small kernel convolution, and discrete spatial features are extracted through grouping convolution; and fusing the multispectral original features, the spectral features and the spatial features through a feature aggregation layer, and inputting the fused features into a detection network to realize target detection. According to the method, the spatial-spectral characteristic information of the multispectral data is fully extracted, and the method has important application value in the aspect of airborne multispectral detection.

This invention discloses an end-to-end near-infrared spectral property prediction method for distillate oils. Using Conformer-1D as the backbone network, a multi-task learning framework combining classification and multi-property regression is constructed. Spectral features are extracted through a shared dimensionality-reduced MLP and a residual bottleneck interaction module. Then, classification prior information drives a gating module to allocate multi-expert network weights, achieving weighted fusion prediction of distillate oil properties. Simultaneously, a joint loss function including classification loss, regression loss, and expert load balancing loss is constructed. A three-stage training strategy of classification pre-training, multi-task training, and full-data joint fine-tuning is employed to optimize the model. This invention achieves end-to-end unified modeling for spectral feature extraction and multi-property prediction, fully utilizing category information and property association features, effectively alleviating the label sample imbalance problem, and improving the accuracy and stability of distillate oil property prediction.

The invention provides a spectral characteristic prediction method based on Tanassen matrix estimation, which adopts a deep learning model to obtain a Tanassen matrix, can quickly predict spectral characteristics and appearance color of a sample under any standard or non-standard illuminant, provides a powerful virtual simulation tool for industrial color matching, quality control, product development and the like, and is suitable for large-scale popularization and application. Actual measurement does not need to be carried out on each lighting condition; that is to say, the invention provides the spectral characteristic prediction method which is rapid, accurate and high in automation degree, and the method can efficiently estimate the complete Tanasenson matrix from limited spectral measurement data, is used for predicting the appearance performance of the material under any illumination, and has very high flexibility and practicability.

A system and method of measuring one or more spectral properties, such as the wavelength and / or bandwidth of a beam of deep ultraviolet excimer laser radiation, in which an instrument used to measure the one or more spectral properties is calibrated using an absolute reference generated using Doppler-free spectroscopy techniques. Systems and methods in which the isotope concentrated material is used are also disclosed.

The application provides a multispectral light source parameter optimization method and device, equipment and a storage medium, relates to the optical technology field, and a specific implementation scheme is as follows: a region characteristic spectrum of a target illumination area in an illumination environment corresponding to a test light source is acquired, and a light environment demand index corresponding to the target illumination area is acquired; the light environment demand index is referred to, the region characteristic spectrum and a preset multispectral light source characteristic spectrum characteristic are comprehensively considered for spectrum mapping, a target multispectral light source spectrum after corresponding matching of different spectral channels is obtained; and a light source control parameter corresponding to the multispectral light source is determined based on the target multispectral light source spectrum. Through implementation of the application scheme, the illuminated region, the optical characteristics of the light source itself and the user illumination demand are quantitatively analyzed, the three are comprehensively considered for light source spectrum selection, and the multispectral light source is adjusted accordingly, so that the definition, comfort and health of environmental illumination are ensured.

This disclosure relates to the field of spectral imaging technology, including design methods, devices, storage media, and applications of quantum dot spectral filter arrays. The method involves: determining a predetermined number of target quantum dot materials from a quantum dot material library; obtaining a data mapping relationship between the second spectral property data of the target quantum dot materials and their design parameters; determining a simulated quantum dot spectral filter array corresponding to the target quantum dot materials based on the data mapping relationship, and establishing an imaging mathematical model based on the simulated quantum dot spectral filter array; processing the incident spectral data based on the imaging mathematical model to obtain simulated response results; obtaining reconstructed spectral data corresponding to the simulated response results; and iteratively training the imaging mathematical model using deep learning based on the differences between the incident spectral data and the reconstructed spectral data to update the design parameters in the data mapping relationship. This improves the reliability and efficiency of determining the design parameters.

The application discloses a kind of X-ray grating interferometer spectral characteristic measuring device and measuring method, it is related to nuclear radiation detection technical field, including shielding sleeve, shielding sleeve inside is equipped with energy spectrum probe, the end of shielding sleeve is equipped with non-destructive optical filter, and small hole is opened in non-destructive optical filter;Shielding sleeve is installed on positioning adjusting mechanism;X-ray grating interferometer has analysis grating and X-ray surface detector, and has the ability of scanning acquisition static step curve.It has the advantages of high detection precision, low manufacturing cost, and very convenient operation, can measure the spectral characteristics of various X-ray grating interferometer, the energy segment of measurement is high, can meet the demand of current scientific research and engineering.Compared with the existing method based on photon technology detector, the cost is greatly reduced;By specially designed non-destructive optical filter, the actual sensitive area of energy spectrum probe is constrained, and the degradation of spectral characteristic data caused by angle misalignment and other factors is reduced.

Various implementations disclosed herein include devices, systems, and methods that initiate an action based on a detected gaze direction oriented towards a target area (e.g., a hot corner / zone). For example, an example process may include producing a reflection by directing light towards an eye using an illuminator, receiving sensor data from a sensor, wherein a direction of sensing by the sensor (e.g., the optical axis of the camera) and a direction from the eye to a target area are approximately aligned, determining a reflective property (e.g., a spectral property) of the reflection based on the sensor data, detecting that a gaze direction of the eye is approximately oriented towards the target area (e.g., a hot zone / spot) based on the reflective property, and initiating an action based on detecting that the gaze direction is approximately oriented towards the target area.