A system and method for reviewing and editing a series of time lapse photographs, using a machine learning system to review sequentially the individual photographs in the series, identify features in the photographs which features may have been classified as undesirable and flag an individual photograph as undesirable, remove photographs flagged as undesirable from the series set, review the remaining images from the series set of photographs for lighting and composition characteristics and further selection, process the selected photographs for image stabilization, and assembling the processed photographs into a single video for viewing.

In an embodiment, an image reception system is communicatively coupled to an image analysis system and is configured to receive a digital image and analyze the pixels of the digital image to determine one or more regions in the digital image. For each region in the one or more regions in the digital image, the image analysis system recognizes the content in the region. A document creation system communicatively coupled to the image analysis system is configured to create a digital document based on the recognized content for the one or more regions. In some embodiments, the image analysis system is further configured to analyze the digital image to detect one or more of the following: region markers, tables, headers.

An optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

A system and method for high integrity head pose estimation receives a 2D image including medium-density fiducials and low-density fiducials. The system then detects the medium-density fiducials and compares them with a 3D constellation to form an initial head pose estimate. The initial head pose estimate is then checked for possible alternative correspondences. A selection from a set of candidate initial head pose estimates is made to determine. The selected head pose estimate then has search areas established for the medium-density fiducials and low-density fiducials. The system then determines whether or not the head pose is valid and accurate based on whether or not the fiducials appear in their respective search areas.

A method for correcting a camera by using a plurality of pattern members placed on the ground of a vehicle enables receiving pattern information of a plurality of pattern members by using a plurality of cameras disposed on the circumference of a vehicle being driven, calculating a first parameter on the basis of the pattern information, calculating trajectory information of the vehicle by using the pattern information, and calculating a second parameter by correcting the first parameter on the basis of the trajectory information of the vehicle.

Methods for submitting an insurance claim for damaged motor vehicle glass are provided that can include: receiving a plurality of images associated with motor vehicle glass at processing circuitry; performing image processing operations on each of the plurality of images to determine one or more of glass damage, glass type, and/or claim fraud; and submitting an insurance claim for motor vehicle glass repair or replace based on the glass type or damage, or flagging the claim as fraud.

The present disclosure also provides a non-transitory computer readable storing instruction that when executed by a processor, causes a computer system to perform the following method. The method can include: prompting a user for initial claim submission information; prompting the user for a plurality of images of portions of motor vehicle glass; performing image processing operations on each of the plurality of images to train or improve the computer system, determine one or more of glass damage, glass type, and/or claim fraud; and one of submit or reject an insurance claim for glass repair.

Glass vendors may be granted access to the systems and methods of the present disclosure and prompted to complete replacements as well.

An object tracking system that includes a sensor that is configured to capture frames of at least a portion of a global plane for a space. The system is configured to receive a first frame from the sensor and to identify a first pixel location and a second pixel location within the first frame. The system is further configured to determine (x,y) coordinates by applying a homography to the first pixel location and the second pixel location. The system is further configured to determine an estimated distance between the (x,y) coordinates, to determine an actual distance, and to determine a distance difference between the estimated distance and the actual distance. The system is further configured to compare the distance difference to a difference threshold level and to recompute the homography in response to determining that the distance difference exceeds the difference threshold level.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A method of automated measurement of motility and morphology parameters of the same single motile sperm. Automated motility and morphology measurements of the same single sperm are performed under different microscope magnifications. The same single motile sperm is automatically positioned and kept inside microscope field of view and in focus after magnification switch. A method of automated non-invasive measurement of sperm morphology parameters under high magnification of imaging. Sperm morphology parameters including subcellular structures are automatically measured without invasive sample staining. A method of automatically selecting sperms with normal motility and morphology and DNA integrity for infertility treatment.

An information processing apparatus includes a processor configured to: record a motion of a user made until a video pause instruction to pause displayed video is given; and display a still image in the video displayed at a second time point earlier than a first time point, the first time point being a time point at which the video pause instruction is received, the second time point being a threshold time point at which acceleration involved with the motion of the user first exceeds a predetermined threshold and which is a most recent threshold time point.