Embodiments of the present systems and methods may provide imaging techniques for multidirectional imaging, light conditioning, illumination sequences, or machine learning to create algorithms created from training by other advanced imaging techniques. In an embodiment, a method for generating an image may comprise obtaining an image of an object produced by a camera and generating, from the obtained image produced by a conventional camera, using an artificial intelligence model and imaging process, an output image including additional information similar to additional information present in an image of the object produced by an advanced imaging system.

A vehicle monitoring system includes at least one camera, and a server that is communicably connected to a client terminal. The camera performs capturing a vehicle while switching a first capturing condition including an image parameter for capturing a number of the vehicle entering an angle of view of the camera and a second capturing condition including an image parameter for capturing an occupant's face of the vehicle, and transmits a first captured video under the first capturing condition and a second captured video under the second capturing condition to the server. The server arranges reproduction screens for the first captured video and the second captured video that are reproduceable in the client terminal and displays the reproduction screens on the client terminal based on the first captured video and the second captured video.

A vehicle monitoring system includes at least one camera, and a server that is communicably connected to a client terminal. The camera performs capturing a vehicle while switching a first capturing condition including an image parameter for capturing a number of the vehicle entering an angle of view of the camera and a second capturing condition including an image parameter for capturing an occupant's face of the vehicle, and transmits a first captured video under the first capturing condition and a second captured video under the second capturing condition to the server. The server arranges reproduction screens for the first captured video and the second captured video that are reproduceable in the client terminal and displays the reproduction screens on the client terminal based on the first captured video and the second captured video.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating a monitoring system with one or more air quality sensors. The method includes obtaining a request that includes an indication of an appearance of an object, selecting a first set of images in an initial modality based on the indication of the appearance of the object, determining an additional set of images in a different modality based on mappings between the first set of images and the additional set of images; and providing the first set of images and the additional set of images in response to the request.

A system and method for analyzing bodily fluid include a sample holder holding a bodily fluid sample, an image capture device generating an image of the bodily fluid sample comprising a plurality of fields of view. An image processor is programmed to determine a biofilm in the bodily fluid sample from the image, determine a biofilm area or volume within each of the plurality of fields of view to form a plurality of biofilm areas, determine a total biofilm area or total biofilm volume by adding the plurality of biofilm areas, determine a first value corresponding to a comparison of the total biofilm area or the total biofilm volume and a total volume of the bodily fluid sample, and classify the first value into a classification. An analyzer, using the classification, displays an indicator on a display for indicating the classification of the biofilm within the bodily fluid sample.

A light source (11) of a disguising mask detecting device (1) emits light at a person who is a subject. A camera (12) acquires images in multiple different wavelength ranges of reflected light of the light emitted at the person. A face detector (172) detects a face region of the person from the images acquired by the camera (12). A determiner (173) determines that the person is wearing a disguising mask when luminances of the face region in the images satisfy specific relations different from relations exhibited by skin.

Data processing apparatus is provided comprising one or more processors. The data processing apparatus may be configured to perform a method of determining authentication data for authenticating an object comprising one or more identification elements which are detectable when electromagnetic radiation is incident thereon. The method may comprise obtaining image data relating to one or more of the identification element(s) of the object, processing the image data to determine outline data relating to outline(s) of one or more of the identification element(s) to which the image data relates and determining the authentication data from the outline data.

In order to determine whether a color contact lens is being worn on an iris, this image processing device includes: a first feature amount calculation means for using an image of the iris in a first wavelength band to calculate a first feature amount in the first wavelength band, said iris being used in authentication of a person; a second feature amount calculation means for using an image of the iris in a second wavelength band to calculate a second feature amount in the second wavelength band; and a covering determination means for determining, on the basis of the first feature amount and the second feature amount, whether a color contact lens is present on the iris.

There is provided a moving body risk assessment device including a moving body detection unit that detects presence or movement of a moving body within an imaging range on the basis of image information imaged in a wavelength region different from a visible region, and a risk assessment unit that assesses a risk to the detected moving body from the image information and a result of the moving body detection obtained by the moving body detection unit.

In one example in accordance with the present disclosure, an electronic system is described. The electronic system includes a scanning device to capture an image of an object. The object includes encoded data formed therein. An attribute determiner of the electronic system determines an actual value of a surface attribute of the object. The electronic system includes an extraction device to extract from the image of the object, a target value for the surface attribute from the encoded data. A comparator of the electronic system determines if a difference between the actual value and the target value has a specified value.