A method of presenting appropriate actions for responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including detecting a visitor of the smart home environment; obtaining context information from the smart home environment regarding the visitor; based on the context information, identifying a plurality of appropriate actions available to a user of a client device for interacting with the visitor via the electronic greeting system; and causing the identified actions to be presented to the user of the client device.

A system and method for up-to-date nutrient database management and nutrient assessment with personalized feedback was created by applying artificial intelligence and machine learning algorithms. This system and method allow for the collection of food intake information, generation and storage of new food records with nutritional data and portions, aggregation of complete micronutrient and macronutrient data with real-time feedback to accurately and efficiently assess nutrient intake when compared to nutrient goals.

A multiple-pattern fiducial for a heterogeneous imaging sensor system. The multiple-pattern fiducial includes a first pattern detectable by a first wavelength of electromagnetic energy, and a second pattern detectable by a second wavelength of electromagnetic energy.

An example apparatus for tracking features in image data includes an image data receiver to receive initial image data corresponding to an image from a camera and store the image data a circular buffer. The apparatus also includes a feature detector to detect features in the image data. The apparatus further includes a feature sorter to sort the detected features to generate sorted feature points. The apparatus includes a feature tracker to track the sorted feature points in subsequent image data corresponding to the image received at the image data receiver. The subsequent image data is to replace the initial image data in the circular buffer.

A vision inspection system includes a rotary sorting platform rotated about an axis to rotate parts. The vision inspection system includes an inspection station positioned adjacent the rotary sorting platform including imaging devices to image different sides of the parts. The vision inspection system includes a vision inspection controller receiving images from the imaging devices and processing the images from the imaging devices based on an image analysis model. The vision inspection controller processes the images to determine inspection results for each of the parts. The vision inspection controller has an artificial intelligence learning module operated to update the image analysis model based on the images received from the imaging devices.

A wafer alignment system includes an imaging sub-system, a controller, and a stage. The controller receives image data for reference point targets and determines a center location for each of the reference point targets. The center location determination includes identifying sub-patterns within a respective reference point target and identifying multiple center location candidates for the respective reference point target. The step of identifying the multiple center location candidates for the respective reference point target includes: applying a model to each identified sub-pattern of the respective reference point target, wherein the model generates a hotspot for each sub-pattern that identifies a center location candidate for the respective reference point target. The controller is further configured to determine a center location for the respective reference point target based on the multiple center location candidates and determine an orientation of the wafer based on the center location determination for the reference point targets.

An imaging device is mounted on or built into a moving body, and the imaging device includes: a camera that captures an image of surroundings of the moving body; an image processing part that processes an image captured by the camera; and a post-processing part that transmits or records an image processed by the image processing part, wherein the image processing part detects personal information contained in an image captured by the camera, and performs image processing for disabling determination of the personal information.

A method of generating three dimensional shapes for a cornea and lens, the method including illuminating an eye with multiple sections of light and obtaining multiple sectional images of the eye based on the multiple sections of light. For each obtained multiple sectional image, the following processes are performed: a) automatically identifying arcs corresponding to anterior and posterior corneal and lens surfaces of the eye by image analysis and curve fitting of the obtained multiple sectional images; and b) determining an intersection of lines ray traced back from the identified arcs with a known position of a section of space containing the section of light that generated the obtained multiple sectional images, wherein the intersection defines a three-dimensional arc curve. The method further including reconstructing three-dimensional shapes of the cornea surfaces and the lens surfaces based on fitting the three-dimensional arc curve to a three-dimensional shape.

A device for recognizing an application in a mobile terminal includes: a coprocessor, configured to identify an image obtained by a signal processing device to obtain a first image category, and determine a first application corresponding to the first image category; and a main processor, configured to receive an identifier of the first application from the coprocessor, and activate the first application or prompt a user to download the first application. The device can relatively accurately determine, based on an image from an image sensor, an application that the user may want to use, and activate the application.

A method for aligning a charging device with a vehicle for charging includes detecting whether a vehicle is parked on a parking space where the charging device is located. If so, capturing at least one image of the vehicle and determining a position of a power receiving device of the vehicle by reference to the at least one image. Controlling movement of the charging device based on the relative positions of the power receiving device and a position of the charging device and aligning the charging device to couple wirelessly and charging the vehicle.