Abstract: An in vitro diagnostic assay method, comprising: providing a sample which may comprise target analyte(s); contacting the sample with a fluorescent label whose fluorescence can be externally modulated, such that the fluorescent label is associated with target analyte(s), if present, to form a fluorescent label-analyte complex; and detecting the fluorescent label-analyte complex; and device, kit and solid phase for performing an in vitro diagnostic assay method.

Abstract: A computer-implemented method for real-time threat assessment of system assets. The method includes automatically receiving a plurality of structured threat intelligence data entries and automatically accessing a mapping definition corresponding to a system asset subtype. The mapping definition is automatically compared against the data entries, and at least one of the data entries is automatically matched to the system asset subtype based on the comparison. A threat aptitude and resources number and a threat frequency number are automatically determined based at least in part on the at least one matched data entry.

Abstract: The present disclosure relates to devices, systems, and methods of image pre-processing for object recognition. One method includes analyzing data about an image to determine one or more characteristics of the image that indicate whether one or more enhancements should be performed on the data, selecting one or more enhancements to consider applying to the data based on the one or more determined characteristics, analyzing the data to determine whether performing each of the selected enhancements will improve the image quality, determining which one or more enhancements to select to perform on the data based on the analysis of whether performing the selected enhancements will improve the image quality, and performing the selected enhancements on the data to improve the image quality.

Abstract: An imaging device has a light field imager and a processor. The light field imager includes a microlens array, and a light field sensor positioned proximate to the microlens array, having a plurality of pixels and recording light field data of an optical target from light passing through the microlens array. The processor is configured to: receive the light field data of the optical target from the light field sensor, estimate signal to noise ratio and depth of the optical target in the light field data, select a subset of sub-aperture images based on the signal to noise ratio and depth, combine the selected subset of sub-aperture images, and perform image analysis on the combined subset of sub-aperture images.

Abstract: A valve interlock system for a railcar including a valve stem locking subsystem that includes a coupling device rotatably coupled to the valve stem. The coupling device is substantially stationary in the longitudinal direction and rotatably translatable about a longitudinal axis and defines an engagement slot thereon. The subsystem also includes a stationary support member extending toward the coupling device in a transverse direction perpendicular to the longitudinal direction and includes a locking member that is transversely translatable and complimentary with the engagement slot. The subsystem also includes a biasing device coupled to the locking member that increases an engagement bias as the locking member is transversely translated away from the engagement slot. The subsystem further includes a valve operator assembly that includes a longitudinally and rotatably translatable body configured to regulate the slot engagement bias as a function of a longitudinal position of the body.

Abstract: When a user conducts a search for content using one or more of the many search engines known in the art, embodiments of the present invention may receive results returned to the user's browser by the search engine, and may then proceed to filter, organize, modify, or enhance those results and/or their presentation by performing various editing and/or presentation operations on the search results, based on information relating to the user's prior interactions with the search results and the user's interests and preferences. Search results may also be modulated based on information about the way other users have responded to or interacted with each of the search results in the past.

Abstract: An imaging device has a light field imager and a processor. The light field imager includes a microlens array, and a light field sensor positioned proximate to the microlens array, having a plurality of pixels and recording light field data of an optical target from light passing through the microlens array. The processor is configured to: receive the light field data of the optical target from the light field sensor, estimate signal to noise ratio and depth of the optical target in the light field data, select a subset of sub-aperture images based on the signal to noise ratio and depth, combine the selected subset of sub-aperture images, and perform image analysis on the combined subset of sub-aperture images.

Abstract: A method and system for automatic face recognition. A primary and a plurality of secondary video cameras can be provided to monitor a detection area. The primary video camera can detect people present in the detection zone. Data can be then transmitted to a prioritizor module that produces a prioritized list of detected people. The plurality of secondary video cameras then captures a high-resolution image of the faces of the people present in the detection area according to the prioritized list provided by the prioritizor module. The high-resolution images can be then provided to a face recognition module, which is used to identify the people present in the detection area.

Abstract: Devices, methods, and systems for detecting motion in a high resolution video are described herein. One method includes dividing an image frame of a high resolution video into a number of blocks, determining whether motion is present in each of the blocks, and identifying, within each block in which motion is determined to be present, pixels in which motion is present.

Abstract: Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.

Abstract: A valve interlock system for a railcar including a valve stem locking subsystem that includes a coupling device rotatably coupled to the valve stem. The coupling device is substantially stationary in the longitudinal direction and rotatably translatable about a longitudinal axis and defines an engagement slot thereon. The subsystem also includes a stationary support member extending toward the coupling device in a transverse direction perpendicular to the longitudinal direction and includes a locking member that is transversely translatable and complimentary with the engagement slot. The subsystem also includes a biasing device coupled to the locking member that increases an engagement bias as the locking member is transversely translated away from the engagement slot. The subsystem further includes a valve operator assembly that includes a longitudinally and rotatably translatable body configured to regulate the slot engagement bias as a function of a longitudinal position of the body.

Abstract: Methods, devices, and systems for object tracking are described herein. One or more method embodiments include receiving an initial set of track points associated with a trajectory of an object, compressing the initial set of track points into a plurality of track segments, each track segment having a start track point and an end track point, and storing the plurality of track segments to represent the trajectory of the object.

Abstract: Methods, machine-readable media, and devices for face image prioritization based on face quality analysis are described herein. For example, one or more embodiments include detecting a facial image in an image that has been acquired by a camera that monitors a scene, passing the facial image through a number of quality analysis filters that include a number of quality analysis factors, wherein processing complexity associated with the number of quality analysis factors increases consecutively, and submitting the facial image to a facial recognition program upon a determination that the facial image has passed the number of quality analysis filters.

Abstract: Devices, methods, and systems for detecting motion in a high resolution video are described herein. One method includes dividing an image frame of a high resolution video into a number of blocks, determining whether motion is present in each of the blocks, and identifying, within each block in which motion is determined to be present, pixels in which motion is present.

Abstract: An apparatus includes at least one memory unit and at least one processing unit. The memory unit is configured to receive and store information associated with a particular geographical region. The processing unit configured to execute a computer program for discretizing an image of the geographical region into a plurality of sub-regions. Using these sub-regions, the processing unit may generate a graph comprising a plurality of nodes and a plurality of edges in which the nodes comprise the sub-regions. The processing unit may also geospatially partition an image of the geographical region according to the information that is associated with each of the sub-regions.

Abstract: Various embodiments illustrated and described herein include at least one of systems, methods, and software that utilizes imagery from a single high-resolution camera to capture images, locate individuals, and provide images to a facial recognition process. Some embodiments also include prioritization and filtering that choose which captured images from a stream of images to process and when to process them when there are many images to be processed.

Abstract: Devices, systems, and methods of performing feature detection on a set of multimedia files are disclosed. One method of organization includes identifying a feature from each multimedia file within the set of multimedia files wherein each file has one feature, organizing the features based on their similarities wherein similar features are grouped based upon a proximity in a feature space and a representative feature is identified for each group, receiving a detection model having one or more detection criteria the detection model having previously been trained for detection using the organized features, and using the representative features to apply the detection model in a decreasing order of detection probability in order to detect the files satisfying the detection criteria within the set of multimedia files.

Abstract: Methods, machine-readable media, and devices for face image prioritization based on face quality analysis are described herein. For example, one or more embodiments include detecting a facial image in an image that has been acquired by a camera that monitors a scene, passing the facial image through a number of quality analysis filters that include a number of quality analysis factors, wherein processing complexity associated with the number of quality analysis factors increases consecutively, and submitting the facial image to a facial recognition program upon a determination that the facial image has passed the number of quality analysis filters.

Abstract: An apparatus includes at least one memory unit and at least one processing unit. The memory unit is configured to receive and store information associated with a particular geographical region. The processing unit configured to execute a computer program for discretizing an image of the geographical region into a plurality of sub-regions. Using these sub-regions, the processing unit may generate a graph comprising a plurality of nodes and a plurality of edges in which the nodes comprise the sub-regions. The processing unit may also geospatially partition an image of the geographical region according to the information that is associated with each of the sub-regions.

Abstract: A process includes receiving an archive of video data comprising a plurality of archive descriptor types, and applying a query to the archive. The query includes a number of N query descriptor types for a query object. The process further includes determining a difference between each query descriptor type and corresponding descriptor types of the archive, and storing each difference as a point in an N dimensional space. The process further includes identifying an archive object that is similar to the query object as a function of proximities of the differences to an origin of the N dimensional space.