Abstract: A method of colorizing stainless steel strip involves the continuous surface treatment of stainless steel strip with aqueous suspensions of rare earth oxide nano or micro particles or aqueous rare earth nitrate solutions of nano or micro particles. The surface treatment can be applied by roll coating, spraying or other conventional application techniques. The coated strip is then continuously annealed. The surface treatment can provide a variety of colors. It also improves corrosion resistance of the processed stainless steel strip. Steel strip treated in this manner is suitable for a variety of applications in the building systems, automotive and appliance markets.

Abstract: Embodiments described herein provide a system for assessing the surface of an object for detecting contamination or other defects. During operation, the system obtains an input image indicating the contamination on the object and generates a synthetic image using an artificial intelligence (AI) model based on the input image. The synthetic image can indicate the object without the contamination. The system then determines a difference between the input image and the synthetic image to identify an image area corresponding to the contamination. Subsequently, the system generates a contamination map of the contamination by highlighting the image area based on one or more image enhancement operations.

Abstract: Embodiments described herein provide a system for facilitating efficient dataset management. During operation, the system obtains a first dataset comprising a plurality of elements. The system then determines a set of categories for a respective element of the plurality of elements by applying a plurality of AI models to the first dataset. A respective category can correspond to an AI model. Subsequently, the system selects a set of sample elements associated with a respective category of a respective AI model and determines a second dataset based on the selected sample elements.

Abstract: A three-dimensional (3D) printer includes a nozzle and a camera configured to capture a real image or a real video of a liquid metal while the liquid metal is positioned at least partially within the nozzle. The 3D printer also includes a computing system configured to perform operations. The operations include generating a model of the liquid metal positioned at least partially within the nozzle. The operations also include generating a simulated image or a simulated video of the liquid metal positioned at least partially within the nozzle based at least partially upon the model. The operations also include generating a labeled dataset that comprises the simulated image or the simulated video and a first set of parameters. The operations also include reconstructing the liquid metal in the real image or the real video based at least partially upon the labeled dataset.

Abstract: A method includes defining a model for a liquid while the liquid is positioned at least partially within a nozzle of a printer. The method also includes synthesizing video frames of the liquid using the model to produce synthetic video frames. The method also includes generating a labeled dataset that includes the synthetic video frames and corresponding model values. The method also includes receiving real video frames of the liquid while the liquid is positioned at least partially within the nozzle of the printer. The method also includes generating an inverse mapping from the real video frames to predicted model values using the labeled dataset. The method also includes reconstructing the liquid in the real video frames based at least partially upon the predicted model values.

Abstract: Embodiments described herein provide a system for generating synthetic images with localized editing. During operation, the system obtains a source image and a target image for image synthesis and selects a semantic element from the source image. The semantic element indicates a semantically meaningful part of an object depicted in the source image. The system then determines the style information associated with the source and target images. Subsequently, the system generates a synthetic image by transferring the style of the semantic element from the source image to the target image based on the feature representations. In this way, the system can facilitate localized editing of the target image.

Abstract: A method of labeling a dataset of input samples for a machine learning task includes selecting a plurality of pre-trained machine learning models that are related to a machine learning task. The method further includes processing a plurality of input data samples through each of the pre-trained models to generate a set of embeddings. The method further includes generating a plurality of clusterings from the set of embeddings. The method further includes analyzing, by a processing device, the plurality of clusterings to extract superclusters. The method further includes assigning pseudo-labels to the input samples based on analysis.

Abstract: The present disclosure is directed to methods and apparatus that monitor pedestrian traffic and that adjust the behavior of traffic signals at intersections and “walk”-“do not walk” indicators associated with particular crosswalks. Methods and apparatus consistent with the present disclosure may receive image or sensor data, may monitor the status of different traffic flow, and may adjust the timing of signal lights or walking indications as conditions change at an intersection. In certain instances, a traffic controller at one intersection may receive information collected by other traffic controllers along a set of streets that lead to a particular intersection. Traffic controllers that receive images of an intersection may identify partition the intersection into a set of safe and unsafe zones as those traffic controllers identify when pedestrians can safely cross an intersection.

Abstract: A radio-frequency identification (RFID) connector, including a connector, including at least one component, and a RFID assembly connected to the connector, the RFID assembly including a RFID tag, and at least one contact arranged on the at least one component and electrically connected to the RFID tag, wherein in an unlocked state of the RFID connector, the RFID tag indicates an open state of the RFID assembly, and in a locked state of the RFID connector, the RFID tag indicates a closed state of the RFID assembly.

Abstract: Embodiments described herein provide a system for facilitating dynamic assistance to a user in an augmented reality (AR) environment of an AR device. During operation, the system detects a first element of an object using an object detector, wherein the object is associated with a task and the first element is associated with a step of the task. The system then determines an orientation and an alignment of the first element in the physical world of the user, and an overlay for the first element. The overlay can distinctly highlight one or more regions of the first element and indicate how the first element fits in the object. The system then applies the overlay to the one or more regions of the first element at the determined orientation in the AR environment.

Abstract: Embodiments described herein provide a system for facilitating dynamic assistance to a user in an augmented reality (AR) environment of an AR device. During operation, the system detects a first element of an object using an object detector, wherein the object is associated with a task and the first element is associated with a step of the task. The system then determines an orientation and an alignment of the first element in the physical world of the user, and an overlay for the first element. The overlay can distinctly highlight one or more regions of the first element and indicate how the first element fits in the object. The system then applies the overlay to the one or more regions of the first element at the determined orientation in the AR environment.

Abstract: A space based multi-band GPS/GNSS navigation system, including: a first RF card with a space grade application specific integrated circuit (ASIC) implementing two RF channels configured to receive and process two different received navigation signals; a space grade navigation processor configured to: execute processor instructions to process the two different received navigation signals to produce position, velocity, and time information; and process measurements using an Extended Kalman filter for enhanced performance at high altitude, including cis-lunar and lunar space.

Abstract: A radio-frequency identification (RFID) fluid connection, including a tube or hose, the tube or hose including a radially outward facing surface, a RFID assembly or label connected the radially outward facing surface, including a RFID tag, and at least one contact electrically connected to the RFID tag.

Abstract: A method of monitoring user interactions with a networked device includes receiving image data associated with one or more images of a user, computing a plurality of visual features of the one or more images from the image data, and calculating, by a processing device, a style characteristic from the plurality of visual features. The method include calculating, by the processing device, a lifestyle characteristic based on the style characteristic and calculating, by the processing device, a user preference based on the lifestyle characteristic. The method includes determining a recommendation of a product based on the user preference and providing the recommendation to a user device associated with the user.

Abstract: At least one activity history for a plurality of entities is received. The at least one activity history comprises at least two events. An inter-event gap distribution is learned using the at least one activity history for the plurality of entities. A current activity history for a current entity is received. A probability of at least one of an onset and a termination related to the current activity history is determined based on the learned inter-gap distribution. An output is produced based on the determined probability.

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

Abstract: Embodiments described herein provide a system for assessing the surface of an object for detecting contamination or other defects. During operation, the system obtains an input image indicating the contamination on the object and generates a synthetic image using an artificial intelligence (AI) model based on the input image. The synthetic image can indicate the object without the contamination. The system then determines a difference between the input image and the synthetic image to identify an image area corresponding to the contamination. Subsequently, the system generates a contamination map of the contamination by highlighting the image area based on one or more image enhancement operations.

Abstract: A traffic control system and a method of automatic zone creation and modification for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. One aspect of the present disclosure is a method including applying default zone parameters to define detection zones at one or more sensors installed at an intersection, the detection zones being used by the one or more sensors for monitoring and detecting traffic conditions at the intersection; determining a current vehicular traffic flow rate and a current pedestrian traffic flow rate at the intersection; determining if a triggering condition for adjusting one or more of the default zone parameters; and adjusting the one or more of the default zone parameters if the triggering condition is met.

Abstract: Embodiments described herein provide a system for assessing the surface of an object for detecting contamination or other defects. During operation, the system obtains an input image indicating the contamination on the object and generates a synthetic image using an artificial intelligence (AI) model based on the input image. The synthetic image can indicate the object without the contamination. The system then determines a difference between the input image and the synthetic image to identify an image area corresponding to the contamination. Subsequently, the system generates a contamination map of the contamination by highlighting the image area based on one or more image enhancement operations.

Abstract: Methods and apparatus consistent with the present disclosure may receive different sets of image or sensor data that may be compared for inconsistencies. Each of these sets of received data may include images of a roadway or intersection that are processed to identify objects and object locations at or near the roadway/intersection. In certain instances data received from a camera at a traffic control system may be compared with data received from a computer at a vehicle. Alternatively or additionally, different sets of data acquired by a same or by different cameras may be compared for discrepancies. When one or more discrepancies are identified in different sets of received data, corrective actions may be initiated. In certain instances, such corrective actions may include recalibrating an image acquisition system or may include sending message to a vehicle computer that identifies the discrepancy.