Systems and methods for authenticating handbags using a portable electronic device along with a bilinear convolutional neural network (CNN) model are described. One method includes using a portable electronic device comprising a camera, and a lens-accessory attached to the portable electronic device such that an optical feature of the lens-accessory is positioned in front of the camera. The portable electronic device acquires one or more pictures of a handbag and sends the one or more pictures to a bilinear CNN model via a network asset where an authenticity is determined. The systems and methods disclosed are capable of allowing the portable electronic device to be spaced apart from the handbag while acquiring pictures, and the lens-accessory can be between 10× and 50× magnification.

An imaging system includes an event camera configured to capture a first image of a scene. The system also includes a shutter camera collocated with the event camera, where the shutter camera is configured to capture a second image of the scene. The system also includes a processor operatively coupled to the event camera and the shutter camera. The processor is configured to apply guided event filtering (GEF) on the first image and the second image. The processor is also configured to generate a third image based on filtering of the first image and the second image.

A dimensioning system includes: an emitter assembly to project a planar light beam into a scan volume; first and second image sensors to capture images of overlapping first and second portions of the scan volume; and a controller configured to: in response to an object travelling through the scan volume, for a successive pair of intervals defined by an operational frequency: at a first interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the first image sensor to capture a first image of a top and a first side of the object; at a second interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the second image sensor to capture a second image of the top and a second side of the object; and generate a three-dimensional image from the first and second images.

An imaging system includes an event camera configured to capture a first image of a scene. The system also includes a shutter camera collocated with the event camera, where the shutter camera is configured to capture a second image of the scene. The system also includes a processor operatively coupled to the event camera and the shutter camera. The processor is configured to apply guided event filtering (GEF) on the first image and the second image. The processor is also configured to generate a third image based on filtering of the first image and the second image.

An object detection system comprises a polarizer configured to polarize an incoming image scene, a motor controller configured to control a spin rate of the polarizer, a lens configured to collect scene data from the polarized image scene, a first integrated circuit configured to measure the collected scene data at two different and orthogonal polarizations, a second integrated circuit configured to determine a degree of polarization (DoP) and an angle of polarization (AoP) for each image frame pair and to generate pre-processed data, and a processor configured to match the pre-processed data to target criteria. The first integrated circuit can be a DROIC imager and the second integrated circuit can be a FPGA. The AoP and DoP can be determined at a pixel level. The second integrated circuit is configured to apply spatial filtering having a DoP greater than 70% or where AoP is unique to immediate surroundings of AoP.

Systems and methods for monitoring of icon in an external display device are disclosed. Images of an icon displayed in a display device may be continually captured as video frames by a video camera of an icon monitoring system. While operating in a first mode, video frames may be continually analyzed to determine if the captured image matches an active template icon known to match the captured image of the icon. While the captured image matches the active template icon, operating in the first mode continues. Upon detecting a failed match to the active template icon, the system starts operating in a second to search among known template icons for a new match. Upon finding a new match, the active template icon may be updated to the new match, and operation switches back to the first mode. Times of transitions between the first and second modes may be recorded.

A dimensioning system includes: an emitter assembly to project a planar light beam into a scan volume; first and second image sensors to capture images of overlapping first and second portions of the scan volume; and a controller configured to: in response to an object travelling through the scan volume, for a successive pair of intervals defined by an operational frequency: at a first interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the first image sensor to capture a first image of a top and a first side of the object; at a second interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the second image sensor to capture a second image of the top and a second side of the object; and generate a three-dimensional image from the first and second images.

Techniques for automatic association between physical and visual skin properties are provided. A computer system receives a two-dimensional (2D) image and a three-dimensional (3D) image associated with a person and determines surface skin properties using the 2D image and physical skin properties using the 3D image. The computer system generates a skin disorder severity assessment using associations between the surface skin properties and the physical skin properties.

A bottle storage includes a housing portion that houses a bottle therein, a cooling-warming portion that is provided around the housing portion, a sensor which detects insertion of the bottle into the housing portion, an image capture portion that captures an image of the bottle housed in the housing portion, a controller that causes the image capture portion to perform image capture for capturing the image of the bottle when the bottle is sensed to be inserted into the housing portion by the sensor, an information manager that identifies at least a brand of the bottle, based on recognition result of the bottle image captured by the control of the controller, and an output portion that outputs characteristics of a beverage of the brand identified by the information manager.

Disclosed are methods of inspecting semiconductor wafers, inspection systems for performing the same, and methods of fabricating semiconductor devices using the same. A method of inspecting a semiconductor wafer including preparing a wafer including zones each having patterns, obtaining representative values for the patterns, scanning the patterns under an optical condition to obtain optical signals for the patterns, each of the optical signals including optical parameters, selecting a representative optical parameter that is one of the optical parameters that has a correlation with the representative values, obtaining a reference value of the representative optical parameter for a reference pattern, and obtaining a defect of an inspection pattern by comparing the reference value with an inspection value of the representative optical parameter for the inspection pattern.