Inventory management systems and methods are provided for monitoring a desired inventory of materials stored in interiors of a plurality of bins.

This application relates to the field of image processing technologies, and provides a photographing method and apparatus for intelligent framing recommendation, to automatically match an appropriate framing recommendation solution for a user according to an algorithm, so that imaging quality is improved. The method includes: An electronic device obtains at least one framing recommendation result based on images captured by at least two cameras with different focal lengths, where the framing recommendation result includes a framing recommendation frame, and the framing recommendation frame indicates a framing recommendation effect of image photographing; and displays a target image based on a framing recommendation result selected by a user, where the target image is an image obtained through cropping, based on the framing recommendation result, the images captured by the at least two cameras.

An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.

An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.

A method according to embodiments of the invention includes creating a three-dimensional profile of a scene, calculating a relative amount of light for each portion of the scene based on the three-dimensional profile, and activating a light source to provide a first amount of light to a first portion of the scene, and a second amount of light to a second portion of the scene. The first amount and the second amount are different. The first amount and the second amount are determined by calculating a relative amount of light for each portion of the scene.

A method according to embodiments of the invention includes creating a three-dimensional profile of a scene, calculating a relative amount of light for each portion of the scene based on the three-dimensional profile, and activating a light source to provide a first amount of light to a first portion of the scene, and a second amount of light to a second portion of the scene. The first amount and the second amount are different. The first amount and the second amount are determined by calculating a relative amount of light for each portion of the scene.

A fingerprint sensing device and a wearable electronic device are provided. The fingerprint sensing device includes an image sensor and a processor. The image sensor is arranged below a fingerprint sensing area. The processor is coupled to the image sensor. The processor senses a finger placed above the fingerprint sensing area through the image sensor during a fingerprint sensing period to obtain a first fingerprint image. The processor continuously senses the finger placed above the fingerprint sensing area through the image sensor during a physiological information sensing period, so as to obtain a physiological characteristic signal.

A fingerprint sensing device and a wearable electronic device are provided. The fingerprint sensing device includes an image sensor and a processor. The image sensor is arranged below a fingerprint sensing area. The processor is coupled to the image sensor. The processor senses a finger placed above the fingerprint sensing area through the image sensor during a fingerprint sensing period to obtain a first fingerprint image. The processor continuously senses the finger placed above the fingerprint sensing area through the image sensor during a physiological information sensing period, so as to obtain a physiological characteristic signal.

Computer vision systems and methods for generating building models using three-dimensional sensing and augmented reality (AR) techniques are provided. Image frames including images of a structure to be modeled are captured by a camera of a mobile device such as a smart phone, as well as three-dimensional data corresponding to the image frames. An object of interest, such as a structural feature of the building, is detected using both the image frames and the three-dimensional data. An AR icon is determined based upon the type of object detected, and is displayed on the mobile device superimposed on the image frames. The user can manipulate the AR icon to better fit or match the object of interest in the image frames, and can capture the object of interest using a capture icon displayed on the display of the mobile device.

Computer vision systems and methods for generating building models using three-dimensional sensing and augmented reality (AR) techniques are provided. Image frames including images of a structure to be modeled are captured by a camera of a mobile device such as a smart phone, as well as three-dimensional data corresponding to the image frames. An object of interest, such as a structural feature of the building, is detected using both the image frames and the three-dimensional data. An AR icon is determined based upon the type of object detected, and is displayed on the mobile device superimposed on the image frames. The user can manipulate the AR icon to better fit or match the object of interest in the image frames, and can capture the object of interest using a capture icon displayed on the display of the mobile device.