An interactive autonomous driving system for an autonomous driving vehicle may include: a target mapping device that determines whether an obstacle is present in a predetermined range of a target selected by a passenger and outputting obstacle information; a target attribute determination device that determines a target attribute based on the obstacle information and outputs target controllable item information; and a processor that generates control mode recommendation information selectable by the passenger based on the target controllable item information and outputs target attribute information and a selected control mode when control mode selection information is received from the passenger.

The present technology relates to an image processing apparatus and an image processing method that can appropriately set an attention area in an image on which image correction processing is performed. An image processing apparatus according to an aspect of the present technology includes a speed detecting section that detects a moving speed of the mobile body; an attention area setting section that sets an attention area to an image imaged in an advancing direction of the mobile body on the basis of the moving speed detected; and an image correction processing section that performs the predetermined image correction processing on the image on the basis of a pixel value of a pixel belonging to the attention area on the image. The present technology is applicable to, for example, a vehicle-mounted sensor.

Methods, systems, and storage media for image thresholding at a network edge device are disclosed herein. In an embodiment, a network edge device may include a camera to be operated by at least one of the one or more processors to capture a monitoring image of a condition proximal to the device at a location. An image threshold module may be operated by at least one of the one or more processors to determine if the monitoring image exceeds a threshold relating to the condition at the location. A communication module may communicate to a remote network location an indication if the monitoring image exceeds the threshold relating to the condition.

A data reading system for predicting the removal of a data reader from a charging base unit based on the approach of a user's hand. The data reading system includes a data reader with a power supply, a base unit configured to receive the data reader and to charge the power supply of the data reader responsive to the data reader being coupled to the base unit, a sensor configured to detect the approach of a user's hand, and a processor in operable communication with the sensor and the data reader or the base unit. The processor is configured to apply an appropriate action, such as adjust an amount of current used to charge the power supply of the data reader in the base unit responsive to the sensor detecting the approach of the user's hand.

A method of auxiliary data capture control includes: storing, at a data capture device, a trigger condition and a baseline value captured by a sensor; controlling the sensor to obtain captured data; determining, based on the captured data and the baseline value, whether the trigger condition is satisfied, wherein the trigger condition includes whether the captured data exceeds the baseline value; and when the trigger condition is satisfied, controlling an auxiliary data capture sensor to obtain auxiliary captured data.

The present technology relates to an image processing apparatus and an image processing method that can appropriately set an attention area in an image on which image correction processing is performed. An image processing apparatus according to an aspect of the present technology includes a speed detecting section that detects a moving speed of the mobile body; an attention area setting section that sets an attention area to an image imaged in an advancing direction of the mobile body on the basis of the moving speed detected; and an image correction processing section that performs the predetermined image correction processing on the image on the basis of a pixel value of a pixel belonging to the attention area on the image. The present technology is applicable to, for example, a vehicle-mounted sensor.

Method and systems are presented for authentication of precious stones, according to their natural ID and/or predetermined markings created in the stones, based on unique characteristic radiation response of the stone to predetermined primary radiation.

Aspects of the subject disclosure may include, for example, receiving first image data for a first image from an electronic device, the first image data including first information associated with a first object identified by the electronic device as being in the first image. Second image data for a second image is received from the electronic device subsequent to receiving the first image data. The second image data includes second information associated with a second object identified by the electronic device as being in the second image. Location information is determined based on the first information and the second information and sent to the electronic device. Other embodiments are disclosed.

A system and method for tracking, treating, and laundering stains on a fabric item is disclosed. The system and method uses a stain tracking app to store and transmit data about the stain to a piece of laundry equipment. The system and method optionally uses an RFID tag to mark the stain or stains on a fabric item and uses a transponder or smartphone to locate the RFID tag and the stained fabric item. The user is then able to precisely locate both the stained fabric item and the precise location of the stain or stains on the fabric item for an optional chemical pretreatment prior to laundering. The stain tracking application transmits information about the stain to the piece of laundry equipment which can then be used to determine optimal pre-treatment and cleaning parameters to optimize removal of the stain or stains.

A method includes capturing a first image via a camera of an electronic device using a first set of image capture parameters. The method includes identifying a first object in the first image based on an object recognition model. The method includes sending first image data to a server. The first image data includes first information associated with the first object. The method includes capturing a second image via the camera using a second set of image capture parameters. The method includes identifying a second object in the second image based on the object recognition model. The method includes sending second image data to the server. The second image data includes second information associated with the second object. The method also includes receiving location information from the server. The location information is determined by the server based on the first information and the second information.