Abstract: Methods, non-transitory computer-readable storage media, and computer or computer systems directed to detecting, analyzing, and tracking new residential or commercial construction activity using satellite or aerial imagery in combination with a machine learned model are described.

Abstract: A computer-implemented system and method for template-based imaging are disclosed. A first image of a first slide, a second image of a second slide, and a third image of a third slide are received, wherein the third image includes a representation of a sample disposed on the third slide. Values of pixels of a template image that are associated with a plurality of features common to the first and second slides and represented in the first and second images are set to a non-background value and values of pixels of the template image not associated with the plurality of features are set to a background value. An offset between the template image and the third image is developed and coordinates of pixels in the third image that are associated with the representation of the sample are determined in accordance with the offset.

Abstract: Systems and methods are provided for: receiving an image containing a code that has one or more visual qualities that fail to satisfy respective thresholds; applying a trained machine learning model to find a rough location of the code by generating a bounding box and cropping out the portion of the image; applying another trained machine learning model to the portion of the image to estimate key point locations of the code depicted in the portion of the image, aligning the portion of the image that depicts the code based on the estimated key point locations; and decoding, by the other trained machine learning model, the aligned portion of the image that depicts the code.

Abstract: Systems, methods of and computer program products for predicting and detecting the onset of glaucoma are provided.

Abstract: This disclosure relates to techniques for synthesizing out of focus highlighting effects in images in real-time. Digital single-lens reflex (DSLR) cameras and other cameras having wide aperture lenses typically capture images with a shallow depth of field (SDOF). So-called SDOF photography may be particularly fit for portrait photography, since it nicely emphasizes the subject, while essentially deemphasizing the background via blurring. Simulating this kind of blurring, particularly around background light sources, using a comparatively larger depth of field (LDOF) camera, may require a high dynamic range (HDR) image capture system, to accurately determine the color of background light sources, which are prone to saturation. However, small form-factor cameras having smaller lens apertures may not have the bandwidth or processing power to process full HDR images in real time.

Abstract: Systems and methods are provided for training an artificial intelligence model for detecting calcified portions of a vessel in an input medical image. One or more first medical images of a vessel in a first modality and one or more second medical image of the vessel in a second modality are received. Calcified portions of the vessel are detected in the one or more first medical images, The artificial intelligence model is trained for detecting calcified portions of the vessel in the input medical image in the second modality based on the one or more second medical images and the detected calcified portions of the vessel detected in the one or more first medical images.

Abstract: In some aspects, the disclosure is directed to methods and systems for automatic context-based annotation by leveraging a priori knowledge from annotations in template documents. A large library of template documents may be generated and pre-processed in many implementations to identify annotations or other inclusions commonly present on documents related to or conforming to the template. Newly scanned documents may be compared to these templates, and when a similar template is identified, annotation locations and types from the template may be applied to the newly scanned document to recognize and classify annotations and inclusions. To increase efficiency and provide scalability, comparisons of scanned documents and template documents may be distributed amongst a plurality of computing devices for processing in parallel, with similarity results aggregated.

Abstract: A cell analyzing device includes a control circuit. The control circuit acquires data of an observation image. The control circuit specifies a colony of a cultured cell in the observation image. The control circuit calculates a ratio at which the cultured cell occupies a predetermined range included in the observation image as an occupancy rate. The control circuit calculates a size of the colony. The control circuit determines a state of the cultured cell based on the occupancy rate and the size of the colony.

Abstract: A system and method for intelligent context-based personalized beauty product recommendation and matching, comprising a data extraction engine, individual profiles of intended users stored in one or more user databases, one or more product databases, a skin analysis engine, and a data analysis and recommendation engine, which gathers a plurality of customer responses regarding fact-based input including locational data, concern-based input, preference-based input, and goal-based input, which uses the customer responses and environmental conditions to create a requirement vector, and which uses the requirement vector as an input into one or more machine and deep learning algorithms to generate as output personalized beauty product recommendations.

Abstract: A method for providing a singling device of a storage and dispensing container for drug portions is provided. A singling device is adapted to a specific drug portion based on the measurement of the drug portion. The measurement is obtained by generating at least one image of a to-be-measured drug portion by a detection device and using image analysis to process the at least one image. Drug information for the specific drug portion is determined, the drug information including at least the dimensions of the specific drug portion. Based on the determined drug information, a singling device fitting the drug portion to be singularized is identified and provided for use in the storage and dispensing container. A system for identifying a singling device is also provided.

Abstract: Images of an individual can be obtained and analyzed to determine an amount of facial paralysis of the individual. The images can also be analyzed to determine an amount of gaze deviation of the individual. The amount of facial paralysis of the individual and/or the amount of gaze deviation of the individual can be used to determine a probability that the individual experienced a biological condition.

Abstract: An image recognition method, electronic device, and storage medium are provided and relate to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

Abstract: Systems and methods for predicting a patient response to various agents and/or combinations of agents using ex vivo dosing and imaging are disclosed. In one example, a method of determining treatment efficacy includes analyzing a solid cell culture over time, e.g., first and second responses to a solid cell culture to respective treatments may be compared to determine a treatment efficacy of each treatment. Systems and methods for applying the treatments to the cell culture and analyzing the cell culture and efficacy are disclosed.

Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.

Abstract: Improvements in secure communication using drones. The communication uses aircraft to provide a secure communication link that prevents undesirable reception. The secure link can be between two people, groups or more specific people. Optical transmission can be from laser, infrared, ultraviolet, white light or a particular wavelength of light. One or multiple of aircraft to relay information between senders and receivers. The aircraft can be drones that operate within buildings or with overhead aircraft. The aircraft can intelligently follow or lead a person to maintain a line-of-sight. Each user can have their own tracking aircraft and the aircraft can communicate between each other using light and/or wireless communication to optimize line-of-sight between the aircraft over geographic medium. The geographic medium may include one or more of terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.

Abstract: A defect inspection system is disclosed. According to certain embodiments, the system includes a memory storing instructions implemented as a plurality of modules. Each of the plurality of modules is configured to detect defects having a different property. The system also includes a controller configured to cause the computer system to: receive inspection data representing an image of a wafer; input the inspection data to a first module of the plurality of modules, the first module outputs a first set of points of interests (POIs) having a first property; input the first set of POIs to a second module of the plurality of modules, the second module output a second set of POIs having the second property; and report that the second set of POIs as defects having both the first property and the second property.

Abstract: A method for training generative network, a method for generating near-infrared image and device. The method includes: obtaining a training sample set, in which the set includes near-infrared image samples and visible-light image samples; obtaining an adversarial network to be trained, in which the generative network of the adversarial network is configured to generate each near-infrared image according to an input visible-light image, the discrimination network of the adversarial network is configured to determine whether an input image is real or generated; constructing a first objective function according to a first distance between each generated near-infrared image and the corresponding near-infrared image sample in an image space and a second distance between each generated near-infrared image and the corresponding near-infrared image sample in a feature space; performing an adversarial training on the adversarial network with the set based on optimizing a value of the first objective function.

Abstract: An apparatus includes a camera and a processing circuit. The camera may be configured to capture images of an environment around a vehicle. The processing circuit may be configured to (i) perform automated number-plate recognition using the images, (ii) store a history of detected license plates, and (iii) search the history of detected license plates in response to receiving a request from a communication device of a vehicle user for information matching the request.