Abstract: Provide are a reticle transfer device and an exposure system. The reticle transfer device includes a bearing member, a light source, a light detector and a controller. The bearing member is configured to bear the reticle, and the light source is configured to emit irradiation light to the reticle and form reflected light. The light detector is configured to obtain the reflected light and generate a light detection signal. The controller is configured to determine whether particulate matter exists on a surface of the reticle based on the light detection signal. The reticle transfer device can determine whether particulate matter exists on the surface of the reticle in real time based on the light detection signal.

Abstract: An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.

Abstract: Techniques for improved camera calibration are disclosed. An image is analyzed to identify a first set of key points for an object. A virtual object is generated. The virtual object has a second set of key points. A reprojected version of the second set is fitted to the first set in 2D space until a fitting threshold is satisfied. To do so, a 3D alignment of the second set is generated in an attempt to fit (e.g., in 2D space) the second set to the first set. Another operation includes reprojecting the second set into 2D space. In response to comparing the reprojected second set to the first set, another operation includes determining whether a fitting error between those sets satisfies the fitting threshold. A specific 3D alignment of the second set is selected. The camera is calibrated based on resulting reprojection parameters.

Abstract: Improved techniques for determining an object's 3D orientation. An image is analyzed to identify a 2D object and a first set of key points. The first set defines a first polygon. A 3D virtual object is generated. This 3D virtual object has a second set of key points defining a second polygon representing an orientation of the 3D virtual object. The second polygon is rotated a selected number of times. For each rotation, each rotated polygon is reprojected into 2D space, and a matching score is determined between each reprojected polygon and the first polygon. A specific reprojected polygon is selected whose corresponding matching score is lowest. The orientation of the 3D virtual object is set to an orientation corresponding to the specific reprojected polygon. Based on the orientation of the 3D virtual object, an area of focus of the 2D object is determined.

Abstract: Examples are disclosed herein that relate to automatically calibrating cameras based on human detection. One example provides a computing system comprising instructions executable to receive image data comprising depth image data and two-dimensional image data of a space from a camera, detect a person in the space via the image data, determine a skeletal representation for the person via the image data, determine over a period of time a plurality of locations at which a reference point of the skeletal representation is on a ground area in the image data, determine a ground plane of the three-dimensional representation based upon the plurality of locations at which the reference point of the skeletal representation is on the ground area in the image data, and track a location of an object within the space relative to the ground plane.

Abstract: Examples are disclosed herein that relate to automatically calibrating cameras based on human detection. One example provides a computing system comprising instructions executable to receive image data comprising depth image data and two-dimensional image data of a space from a camera, detect a person in the space via the image data, determine a skeletal representation for the person via the image data, determine over a period of time a plurality of locations at which a reference point of the skeletal representation is on a ground area in the image data, determine a ground plane of the three-dimensional representation based upon the plurality of locations at which the reference point of the skeletal representation is on the ground area in the image data, and track a location of an object within the space relative to the ground plane.

Abstract: An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.

Abstract: A steel plate having excellent resistance to fatigue crack growth and manufacturing method thereof, wherein the components of the steel plate in weight percentage are: 0.040-0.070% of C, 0.40-0.70% of Si, 1.30-1.60% of Mn, less than or equal to 0.013% of P, less than or equal to 0.003% of S, less than or equal to 0.30% of Cu, less than or equal to 0.30% of Ni, less than or equal to 0.10% of Mo, 0.008-0.018% of Ti, 0.015-0.030% of Nb, less than or equal to 0.0040% of N, 0.0010-0.0040% of Ca, and the balance being Fe and inevitable impurities. By controlling [% C]×[% Si] between 0.022-0.042, {([% C]+3.33[% Nb])×[% Si]}×Vcooling rate/Tcooling-stopping between 1.15×10?4˜2.2×10?3, carrying out a Ca treatment, and Ca/S=1.0-3.0 and (% Ca)×(% S) 0.28?1.0×10?3, the optimizing the TMCP process, the finished steel plate has a microstructure which a duplex-phase structure of ferrite+uniformly and dispersedly distributed bainite and has an improved resistance to fatigue crack growth.

Abstract: The disclosure provides an N-phase N+1 bridge arm inverter, including: N+1 bridge arms, wherein each of the bridge arms includes an upper bridge arm power switching device and a lower bridge arm power switching device, upper node of the upper bridge arm power switching device in each of the bridge arms is connected to a DC bus voltage, lower node of the lower bridge arm power switching device is connected to a power ground, and lower node of the upper bridge arm power switching device is connected to upper node of the lower bridge arm power switching device as an output node of the bridge arm. N is a total phase number of a motor, N is an odd number, and N is greater than 3.

Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.

Abstract: A machine accesses a training data set comprising multiple real images and multiple synthetic images. The machine trains a joint prediction module to predict joint locations in visual data using the multiple real images. The machine trains a part affinity field prediction module to identify adjacent joints in visual data using the multiple real images. The machine trains the joint prediction module to predict joint locations in visual data using the multiple synthetic images. The machine trains the part affinity field prediction module to identify adjacent joints in visual data using the multiple synthetic images. The machine trains a body part prediction module to identify body parts in visual data using the multiple synthetic images. The machine provides a trained human body part segmentation module comprising the trained joint prediction module, the trained part affinity field prediction module, and the trained body part prediction module.

Abstract: Examples are disclosed herein that relate to automatically calibrating cameras based on human detection. One example provides a computing system comprising instructions executable to receive image data comprising depth image data and two-dimensional image data of a space from a camera, detect a person in the space via the image data, determine a skeletal representation for the person via the image data, determine over a period of time a plurality of locations at which a reference point of the skeletal representation is on a ground area in the image data, determine a ground plane of the three-dimensional representation based upon the plurality of locations at which the reference point of the skeletal representation is on the ground area in the image data, and track a location of an object within the space relative to the ground plane.

Abstract: The large display interaction implementations described herein combine mobile devices with people tracking to enable new interactions including making a non-touch-sensitive display touch-sensitive and allowing personalized interactions with the display. One implementation tracks one or more mobile computing device users relative to a large computer-driven display, and configures content displayed on the display based on a distance a given mobile computing device user is from the display. Another implementation personalizes user interactions with a large display. One or more mobile computing device users are tracked relative to a display. The identity of each of the one or more mobile computing device users is obtained. Content displayed on the display is configured based on a distance an identified mobile computing device user is from the display and the identity of the user that provides the content.

Abstract: An apparatus that automatically monitors a display device includes a photo sensor configured to receive light from a display screen of the display device. The photo sensor provides signals representing detected light levels to a processor. The processor is coupled to the display device and is configured to cause the display device to present a test sequence including a plurality of images on the display screen. The processor is configured to capture data from the photo sensor during the presentation of the test sequence and to compare the captured data to an expected sequence corresponding to the test sequence displayed by a well-functioning display. The processor is further configured to report any mismatch between the captured data and the expected sequence as a possible malfunction of the display device.

Abstract: A synthesis method for low-racemization impurity liraglutide comprises the following steps: performing synthesis to obtain a propeptide, coupling 2 to 5 peptides comprising Thr-Phe on the propeptide by using a solid-phase synthesis method; further, performing solid-phase synthesis to obtain a liraglutide resin; the liraglutide resin is cracked after modification, or the liraglutide resin is directly cracked, purified and frozen dry, so as to obtain the liraglutide.

Abstract: An HT550 steel plate with ultrahigh toughness and excellent weldability and a manufacturing method thereof are disclosed. Based on a component system with ultralow-C, high-Mn, Nb-microalloying, ultramicro Ti treatment, Mn/C is controlled in the range of 15˜30, (% Si)×(% Ceq) is less than or equal to 0.050, (% C)×(% Si) is less than or equal to 0.010, (% Mo)×[(% C)+0.13(% Si)] is in the range of 0.003˜0.020, the ratio Ti/N is in the range of 2.0˜4.0, the steel plate is alloyed with (Cu+Ni+Mo), Ni/Cu is greater than or equal to 1.0, Ca treatment is performed, and Ca/S is in the range of 0.80˜3.00; by optimizing TMCP process, the steel plate has microstructures of fine ferrite plus self-tempered bainite with an average grain size being less than or equal to 15 ?m, yield strength being 460 MPa or more, tensile strength being 550˜700 MPa, yield ratio being 0.85 or less, and ?60° C.

Abstract: Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.

Abstract: A technique for multi-camera object tracking is disclosed that preserves privacy of imagery from each camera or group of cameras. This technique uses secure multi-party computation to compute a distance metric across data from multiple cameras without revealing any information to operators of the cameras except whether or not an object was observed by both cameras. This is achieved by a distance metric learning technique that reduces the computing complexity of secure computation while maintaining object identification accuracy.

Abstract: An apparatus that automatically monitors a display device includes a photo sensor configured to receive light from a display screen of the display device. The photo sensor provides signals representing detected light levels to a processor. The processor is coupled to the display device and is configured to cause the display device to present a test sequence including a plurality of images on the display screen. The processor is configured to capture data from the photo sensor during the presentation of the test sequence and to compare the captured data to an expected sequence corresponding to the test sequence displayed by a well-functioning display. The processor is further configured to report any mismatch between the captured data and the expected sequence as a possible malfunction of the display device.

Abstract: The invention discloses a steel plate resistant to zinc-induced crack and a manufacturing method therefor. A low-alloy steel subjected to low C-ultra low Si-high Mn-low Al—(Ti+Nb) microalloying treatment is taken as a basis; the Al content in the steel is appropriately reduced; the conditions are controlled so that Mn/C?15, [(% Mn)+0.75(% Mo)]×(% C)?0.16, Nb/Ti?1.8 and Ti/N is between 1.50 and 3.40, CEZ?0.44% and the B content is ?2 ppm, Ni/Cu?1.50; a Ca treatment is performed and the Ca/S ratio is controlled between 1.0 and 3.0, with (% Ca)×(% S)0.28?1.