A translator pen and a translation method using same are provided. The translator pen includes a housing and a pen head. The housing forms a first accommodation cavity adapted to accommodate an image collector. An outer contour of the pen head is formed into a tapered shape, an outer diameter of the pen head gradually decreases along a direction of the pen head away from the housing and forms a second accommodation cavity adapted to accommodate a pen core. At least a portion of the end of the housing, which does not form the pen head, forms an inclined surface. The inclined surface is inclined relative to the outer contour of the pen head toward an outside of the housing along a direction of the housing away from the pen head. The image collector is configured to face the inclined surface.

An imaging system (1) includes an imaging unit (2) configured to capture an eye of a target person, and a mode control unit (4) configured to select one of imaging modes including a first imaging mode that sets a capture volume for which a greatest distance from the imaging unit (2) in an optical axis direction of the imaging unit (2) is a first distance, and a second imaging mode that sets the capture volume for which the greatest distance from the imaging unit is a second distance, in which the second distance is greater than the first distance. With the imaging system (1), a balance between an image quality matching a purpose of use and a capturing time may be easily achieved.

A method for true-to-sample measurement by a mobile ingredient analysis system having a housing with a window, an interface for an external reference unit, a display and operating unit, a light source, an optical spectrometer, a camera, an internal reference unit, and an electronic control unit. The method includes: selecting a calibration product suitable for a sample to be examined; performing a plausibility check of the calibration product, an incorrect selection being signaled and an alternative calibration product being selected; outputting measurement conditions comprising the measurement point to be selected and measurement duration for the selected calibration product; capturing measured values of the sample by the spectrometer under the measurement conditions and with simultaneous monitoring of the measurement conditions; processing the captured measured values by means of an electronic control unit, each measured value captured while the measurement conditions were met being declared valid; outputting the measured values deemed valid.

An article determination apparatus (10) is used with two image capture units (20). One image capture unit (20), an article shelf (40), and the other image capture unit (20) are arranged in this order. The acquisition unit (110) acquires images generated by the two image capture units (20). The image processing unit (120) generates first size data and second size data by processing the images acquired by the acquisition unit (110). The first size data and the second size data indicate the size of an area in which an article is captured in an image generated by one image capture unit (20) and by the other image capture unit (20), respectively. The determination unit (130) determines that an estimation result of the article name of the article by image processing is correct when a relation between the first size data and the second size data satisfies a criterion.

An article determination apparatus (10) is used with two image capture units (20). One image capture unit (20), an article shelf (40), and the other image capture unit (20) are arranged in this order. The acquisition unit (110) acquires images generated by the two image capture units (20). The image processing unit (120) generates first size data and second size data by processing the images acquired by the acquisition unit (110). The first size data and the second size data indicate the size of an area in which an article is captured in an image generated by one image capture unit (20) and by the other image capture unit (20), respectively. The determination unit (130) determines that an estimation result of the article name of the article by image processing is correct when a relation between the first size data and the second size data satisfies a criterion.

Examples of the disclosure relate to at least apparatus, methods, and computer programs, configured to control capture of two images of an area, across which a pulse propagates, using different shutter scanning directions. Either the images are converted into pulse-phase maps of the area and a pulse-phase difference map obtained which identifies differences between the pulse-phase maps of the area, or a colour difference map is obtained which identifies differences between the two images and the colour difference map is converted into a pulse-phase difference map. A shutter-time difference map is obtained which identifies differences between capture times of corresponding locations in the two images. Using the shutter-time difference map, the pulse-phase difference map is corrected to obtain a map of pulse-phase changes which have occurred over a duration of a shutter scan.

A method, system and mobile device can be used by a subject in diagnosing a disease or virus or other illness. The system can capture and analyze olfactory information providing a diagnosis based on the olfactory information. The system can also capture and output biometric data corresponding to the subject and can further include at least one camera or video sensor that can result in a diagnosis or a microphone or other acoustic sensor that can result in another diagnosis. Other sensors providing other corresponding diagnoses can be included. A sensor fusion component can receive and combine the biometric data and the various diagnoses results and further determine a confidence score. An event record creator compiles the biometric data and the confidence scores to create an event record having a higher confidence score with respect to a final diagnosis result. A data storage device stores the event record.

A method, system and mobile device can be used by a subject in diagnosing a disease or virus or other illness. The system can capture and analyze olfactory information providing a diagnosis based on the olfactory information. The system can also capture and output biometric data corresponding to the subject and can further include at least one camera or video sensor that can result in a diagnosis or a microphone or other acoustic sensor that can result in another diagnosis. Other sensors providing other corresponding diagnoses can be included. A sensor fusion component can receive and combine the biometric data and the various diagnoses results and further determine a confidence score. An event record creator compiles the biometric data and the confidence scores to create an event record having a higher confidence score with respect to a final diagnosis result. A data storage device stores the event record.

The purpose of the present invention is to provide a data collection system capable of appropriately setting a range for collecting image data used as training data of a learning device that recognizes an image. A data collection system according to the present invention receives requirement variables that represent the requirement of image data necessary for a learning device to be sufficiently trained and requirement definition data that designates the requirement value, further receives priority data that designates the priority of the requirement variables, presents the requirement variables and the requirement values in the order of the priorities, and presents a requirement value response rate that represents the ratio of the requirement variables for which the requirement value is specified.

The purpose of the present invention is to provide a data collection system capable of appropriately setting a range for collecting image data used as training data of a learning device that recognizes an image. A data collection system according to the present invention receives requirement variables that represent the requirement of image data necessary for a learning device to be sufficiently trained and requirement definition data that designates the requirement value, further receives priority data that designates the priority of the requirement variables, presents the requirement variables and the requirement values in the order of the priorities, and presents a requirement value response rate that represents the ratio of the requirement variables for which the requirement value is specified.