A capturing device has a lens block that includes a lens for focusing light from a subject during a daytime, the subject includes a vehicle. The capturing device further includes an image sensor that captures an image based on light from the subject focused by the lens, and a processor that generates a face image of an occupant riding in the vehicle based on a first number of captured imaged of the subject which are captured by the image sensor at different times. The processor generates the face image of the occupant further based on a second number of captured images in which a luminance value of a region of interest is equal to or smaller than a threshold value among the first number of captured images of the subject.

This disclosure provides a method and system for spectrum matching for hyperspectral and multispectral data. Conventional methods using geometric or statistical distance measures for spectral matching considers two spectra having equal length or having large amplitude difference. These methods do not consider amplitude difference in the spectra or spectra with unequal lengths. Embodiments of the present disclosure is formulated as a measurement of transformation required for converting a target spectrum to a reference spectrum or vice versa. The method computes a transformation cost between the two spectra for spectral matching. The transformation cost is globally optimized to obtain an optimal transformation cost which represents the optimal spectrum matching of the target spectrum with the reference spectrum.

A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

An aspect of the invention provides a method for determining at least one internal quality attribute of an article (102) of agricultural produce. The method includes receiving a plurality of first spectroscopic values obtained from directing low band light in a first wavelength associated to a low band of wavelengths from at least one low band light source (104) at least partly through the article (102) toward at least one detector (120); receiving a plurality of second spectroscopic values obtained from directing high band light in a second wavelength associated to a high band of wavelengths from at least one high band light source (106) at least partly through the article (102) toward the at least one detector (120); determining at least one measured spatial profile associated to the article, the at least one measured spatial profile comprising at least one of a plurality of ratios of respective first spectroscopic values to respective second spectroscopic values, a plurality of ratios of respective second spectroscopic values to respective first spectroscopic values; and determining the at least one internal quality attribute at least partly from a comparison of the at least one measured spatial profile with at least one reference spatial profile associated to a class of articles of agricultural produce.

An aspect of the invention provides a method for determining at least one internal quality attribute of an article (102) of agricultural produce. The method includes receiving a plurality of first spectroscopic values obtained from directing low band light in a first wavelength associated to a low band of wavelengths from at least one low band light source (104) at least partly through the article (102) toward at least one detector (120); receiving a plurality of second spectroscopic values obtained from directing high band light in a second wavelength associated to a high band of wavelengths from at least one high band light source (106) at least partly through the article (102) toward the at least one detector (120); determining at least one measured spatial profile associated to the article, the at least one measured spatial profile comprising at least one of a plurality of ratios of respective first spectroscopic values to respective second spectroscopic values, a plurality of ratios of respective second spectroscopic values to respective first spectroscopic values; and determining the at least one internal quality attribute at least partly from a comparison of the at least one measured spatial profile with at least one reference spatial profile associated to a class of articles of agricultural produce.

An artificial neural network-based method for selecting a surface type of an object includes receiving at least one object image, performing surface type identification on each of the at least one object image by using a first predictive model to categorize the object image to one of a first normal group and a first abnormal group, and performing surface type identification on each output image in the first normal group by using a second predictive model to categorize the output image to one of a second normal group and a second abnormal group.

There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

Embodiments described herein involve determining an area of interest on a growth media. An overall brightness control value for a plurality of illumination sources configured to illuminate the growth media is calculated. The overall brightness control value generating at least one image that substantially matches a target intensity at the area of interest. An individual brightness value for each illumination source of the plurality of illumination sources is calculated by individually adjusting a brightness of each illumination source to generate at least one image that substantially matches the target intensity in each respective illumination source's area of influence. A calibrated brightness value for each illumination source is determined based on an image intensity with each illumination source turned on at the respective individual brightness value and an intensity that each illumination source generates within each respective area of influence when turned on alone.