The present invention relates to a secondary battery and an apparatus and method for measuring a dimension of the secondary battery. The secondary battery according to the present invention comprises: an electrode assembly in which an electrode and a separator are alternately laminated to be combined with each other; a pouch accommodating the electrode assembly therein; and a fluorescent reference marker applied to a portion of an outer surface of the pouch and comprising a fluorescent material, wherein the fluorescent reference marker emits fluorescence when an electromagnetic wave is irradiated so that the fluorescent reference marker serves as a reference point for measuring a dimension of the secondary battery.

The present technology relates to an information processing device and an information processing method capable of implementing video projection using a plurality of projection devices more reliably. There is provided an information processing device including a control unit configured to detect a manipulation of a user on a designator projected to a projection area of each of a plurality of projection devices and generate relative position information regarding relative positions of the plurality of projection areas based on a detection result. The present technology can be applied to, for example, a device controlling a plurality of projectors.

A system and methods for OCD metrology are provided including receiving training data for training an OCD machine learning (ML) model, including multiple pairs of corresponding sets of scatterometric data and reference parameters. For each of the pairs, one or more corresponding outlier metrics are by calculated and corresponding outlier thresholds are applied whether a given pair is an outlier pair. The OCD MIL model is then trained with the training data less the outlier pairs.

A system and methods for OCD metrology are provided including receiving multiple first sets of scatterometric data, dividing each set into k sub-vectors, and training, in a self-supervised manner, k2 auto-encoder neural networks that map each of the k sub-vectors to each other. Subsequently multiple respective sets of reference parameters and multiple corresponding second sets of scatterometric data are received and a transfer neural network (NN) is trained. Initial layers include a parallel arrangement of the k2 encoder neural networks. Target output of the transfer NN training is set to the multiple sets of reference parameters and feature input is set to the multiple corresponding second sets of scatterometric data, such that the transfer NN is trained to estimate new wafer pattern parameters from subsequently measured sets of scatterometric data.

An acquisition device for the at least partially automated acquisition of multiple object data sets of at least one object. The acquisition device includes at least one object data acquisition unit for the acquisition of object data, at least one object carrier unit for arranging the object, and at least one reference unit that is at least provided to output, in particular optically output, a reference element for a size classification of the object.

A method for inspecting an object includes receiving or determining inspection image data, the inspection image data including an inspection image pixel array with at least one inspection image pixel in the inspection image pixel array having a pixel property associated therewith. The method includes receiving via a processor a user input associated with a continuous segment of inspection image pixels in the inspection image pixel array. The method includes determining a property of the object based on the pixel properties associated with the continuous segment of inspection image pixels in the inspection image pixel array.

A system and method are provided for sizing and fitting a head mounted wearable computing device for a user based on image data of the head of the user, including a known reference device having a known scale. The system and method may include capturing image data including a face of the user to be fitted for the head mounted wearable computing device. The known reference device having the known scale is compared to features detected in the image data to determine a scaling factor. The scaling factor is used to size, or assign measures to facial features detected in the image data. A three-dimensional model of the head of the user may be generated from the captured image data.

A method for calibrating an elongated metallurgical tool based on a laser distance sensor (6). A temperature measurement/sampling tool (3) is driven by an industrial robot (1) so that a standard temperature measurement/sampling gun (4) enters a calibration area, the standard temperature measurement/sampling gun (4) reciprocates at the vicinity of a laser distance sensor (6), the standard axis is obtained by using a vector on a generatrix of the standard temperature measurement/sampling gun (4) based on the laser distance sensor (6), the position and orientation of the temperature measurement/sampling tool (3) is adjusted so that the axis of the standard temperature measurement/sampling gun (4) is parallel to the set standard axis, and moreover, positioning and identification is performed on an end TCP point of the temperature measurement/sampling tool (3) to obtain a tool coordinate system corresponding to the temperature measurement/sampling tool (3), and deformation of the standard temperature measurement/sampling gun (4) can be detected in the calibration process, to ensure the accuracy and stability of system operation of the industrial robot (1). In addition, also provided is a device for calibrating an elongated metallurgical tool based on a laser distance sensor (6).

The present invention discloses a distributed continuous high-accuracy bidirectional displacement fiber-optic measurement system and a measurement method thereof for measuring displacement of a measurement target, including a Brillouin analysis device connected with an optical fiber strain gauge, a fiber-optic sensor assembly including a reference fiber-optic sensor device and a plurality of fiber-optic sensor devices, and an operation module, the operation module is operable to receive the continuous data and the single-spot data transmitted from the Brillouin analysis device and the fiber-optic sensor devices, and to calculate an accurate displacement for each interval of the optical fiber strain gauge according to the continuous data and the single-spot data so as to form continuous displacement data. Thus, the present invention is economic in respect of cost and suits the need of the market application, and can be applied in a large area, and enhances the accuracy of measurement.

The present invention discloses a distributed continuous high-accuracy bidirectional displacement fiber-optic measurement system and a measurement method thereof for measuring displacement of a measurement target, including a Brillouin analysis device connected with an optical fiber strain gauge, a fiber-optic sensor assembly including a reference fiber-optic sensor device and a plurality of fiber-optic sensor devices, and an operation module, the operation module is operable to receive the continuous data and the single-spot data transmitted from the Brillouin analysis device and the fiber-optic sensor devices, and to calculate an accurate displacement for each interval of the optical fiber strain gauge according to the continuous data and the single-spot data so as to form continuous displacement data. Thus, the present invention is economic in respect of cost and suits the need of the market application, and can be applied in a large area, and enhances the accuracy of measurement.