Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for performing event or object classification. An example process can include receiving a first trigger corresponding to a first motion event within a field of view of a first image sensor; selecting a first video frame from a sequence of video frames captured by the first image sensor, wherein the first video frame is captured prior to the first trigger; selecting a second video frame from the sequence of video frames, wherein the second video frame is captured after the first trigger; determining at least one difference between the first video frame and the second video frame; determining, based on the at least one difference, at least one of an object classification and an event classification; and generating a notification that corresponds to the object classification or the event classification.

A cooking method is disclosed that includes receiving image data corresponding to a view of a food item during a cooking process implemented by a cooking apparatus. The cooking method further includes identifying a region of interest in the view. The region of interest includes an indication of liquid leached out from the food item as a result of the cooking process. The cooking method further includes determining a cooked level of the food item based on a distribution of the liquid on a surface in the view and a parameter value indicative of the cooked level of the food item. The parameter value is derived from a part of the image data that corresponds to the region of interest.

An image processing apparatus comprises an identification unit configured to identify a region, among regions of subjects detected in a first image obtained by imaging in which invisible light is used, that does not correspond to a region of a subject detected in a second image obtained by imaging in which visible light is used, and a control unit configured to control, based on the region identified by the identification unit, exposure for imaging in which visible light is used.

An apparatus for training a model to identify abnormal medical/image data comprises processing circuitry configured to: receive medical/image data; obtain a local region and a context region from the medical/image data; generate abnormal medical/image data using the local region and/or the context region; train a model using the medical/image data and the generated abnormal medical/image data to identify abnormal medical/image data.

A monitoring method for a safe area, performed by a processing module having a processor and a pre-established image identification model, includes the following steps. An input image is generated corresponding to a predefined viewing direction of a driving target, and the input image has an image corresponding to an obstacle. A safe area is generated in the input image. A predetermined route is generated, and a continuous area that does not belong to the obstacle from a predetermined range extended from the predetermined route is defined to generate a modified area, so that in a situation that the predetermined range includes a part of an obstacle, a part of a boundary of the modified area corresponds to a part of a contour of the obstacle. Then a step is executed to determine whether the safe area is entirely included in the modified area.

Proposed is a driving method for a height-adjustable biological signal measuring device. The method includes a step of recognizing a user's unique information, a step of setting the focus of a video image measuring device to a preset value, a step of photographing the user and acquiring the user's images from the video image measuring device, a step of acquiring the image data from the photographed video image data and preprocessing the images in a video image processing unit, a step of recognizing a face according to the user's state using the pre-processed image, a step of determining whether the user's face is at the center of the screen, and a step of fixing the position of a terminal and measuring the user's biometric information.

This disclose relates to a data processing method and apparatus. The method includes: acquiring a first prediction region in a target image, the first prediction region being a prediction region corresponding to a maximum prediction category probability in N prediction regions in the target image, a prediction category probability being a probability that an object in a prediction region belongs to a prediction object category; determining a coverage region jointly covered by a second prediction region and the first prediction region; the second prediction region being a prediction region other than the first prediction region in the N prediction regions; and determining a target prediction region in the prediction regions based on an area of the coverage region and a similarity associated with the second prediction region, the similarity being for indicating a similarity between an object in the second prediction region and an object in the first prediction region.

Disclosed herein is a detector for determining at least one material property of at least one object. The detector includes at least one projector configured for illuminating the object with at least one illumination pattern including a plurality of illumination features; at least one first camera having at least one first sensor element; at least one second camera having at least one second sensor element; and at least one evaluation device configured for evaluating a first reflection image and the second reflection image.

A issuing apparatus is configured to acquire a first face image obtained by imaging a face of a person, output a verification image including the first face image and verification information for verifying validity to a printer that issues the ID card by printing the verification image on a card-shaped recording medium, and store, in a memory, a first captured image obtained by capturing the verification image printed on the ID card via a camera. A verification apparatus is configured to acquire, as a second captured image, an image obtained by capturing a verification image printed on an ID card to be verified via a camera, and verify authenticity of the ID card to be verified by comparing density characteristics of each of the first captured image acquired from the memory and the second captured image acquired from the camera.

A wearable device for use in immersive reality applications is provided. The wearable device has a frame including an eyepiece to provide a forward-image to a user, a first forward-looking camera mounted on the frame, the first forward-looking camera having a field of view within the forward-image, a sensor configured to receive a command from the user, the command indicative of a region of interest within the field of view, and an interface device to indicate to the user that a field of view of the first forward-looking camera is aligned with the region of interest. Methods of use of the device, a memory storing instructions and a processor to execute the instructions to cause the device to perform the methods of use, are also provided.