Abstract: Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest are described. Apparatuses can include a display, a memory device, and a controller. In an example, the controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include the assigning, by a controller coupled to a memory device, a perceived interest of an image of a plurality of images, wherein the perceived interest is assigned based in part on a period of time the image is visible on a display coupled to the memory device, selecting the image from an initial viewing location responsive to the assigned perceived interest; and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.

Abstract: Methods and apparatuses related to settings based access to data stored in quarantined memory media are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and data (e.g., information included in) stored in the memory media are subject to risks of the data being undesirably exposed and/or viewable to the public. According to embodiments of the present disclosure, a particular portion and/or location in the memory media can provide a data protection scheme, and a setting associated with the data can include security protocols that can control the accessibility to the stored data. For example, a setting can be associated with data to be stored in a particular location of the memory media, and responsive to a request to access the data, the setting can initiate an authentication of the request.

Abstract: Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest and display position. Apparatuses can include a display, a memory device, and a controller. an example controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include assigning, by a controller coupled to a memory device, a perceived interest to an image of a plurality of images, wherein the perceived interest is assigned based in part on a change in position of a display coupled to the memory device while the image is viewable on the display, selecting the image from an initial viewing location on the display responsive to the assigned perceived interest, and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.

Abstract: Methods, apparatuses, and non-transitory machine-readable media for presentation of digital images from user drawings are described. Apparatuses can include a display, a memory device, and a controller. In an example, a method can include the controller receiving data representing a user drawing, identifying a feature of the user drawing based on the data, and comparing the feature of the user drawing to features of a plurality of digitized images. In another example, a particular digitized image can be displayed based on the comparison of the feature with the features of the plurality of digitized images.

Abstract: Methods and devices and systems related to a computing device for providing a route with augmented reality (AR) are described. An example method can include receiving, at a computing device, a trigger associated with a first location of the computing device, tracking movement of the computing device relative to the first location, and providing a route back to the first location from a second location reached during the tracked movement. The route can include displayed AR.

Abstract: Methods and devices systems related to a computing device for highlighting a tagged object with augmented reality (AR) are described. An example method can include identifying, using a computing device, an object tagged with a sensor within a plurality of objects. The example method can include tracking movement of the object based on communication between the sensor and the computing device and highlighting the object via AR based on the tracking and responsive to a request to locate the object.

Abstract: Methods and non-transitory machine-readable media associated with a virtual queue are described. A method can include receiving, by a processing resource, a request from a user to join a virtual queue, adding, by the processing resource, the user to the virtual queue, determining, by the processing resource, a queue optimization based on an estimated wait time for the user in the virtual queue, and providing to the user, by the processing resource, the queue optimization including the estimated wait time for the user in the virtual queue. The virtual queue can be updated in an example.

Abstract: Systems, apparatuses, and methods related to media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Data inputs can be written (e.g., stored) in a particular type of memory media based on characteristics (e.g., source, attributes, and/or information etc. included in the data). For instance, selection of a portion of data can be based on the quality of the data received. In an example, a method can include receiving, by a memory system of a mobile device that comprises a plurality of memory media types, data from the assigned image sensor of a plurality of image sensors of the mobile device; and selecting a portion of data from the received data based on one or more characteristics of the data that indicate a quality of an image or images represented by the portion of data.

Abstract: Methods, devices, and systems related to determining biometric data using an array of infrared (IR) illuminators are described. In an example, a method can include projecting a number of IR dots on a user using a dot projector and an array of IR illuminators, capturing an IR image of the number of IR dots using an IR camera, comparing a number of pixels of the captured IR image to a number of corresponding pixels of a baseline IR image using a processing resource, and determining biometric data of the user at least partially based on comparing the captured IR image to the baseline IR image using the processing resource.

Abstract: Methods, devices, and systems related to generating a three-dimensional (3-D) image using an array of infrared (IR) illuminators are described. In an example, a method can include projecting a number of IR dots on a user using a dot projector configured on a surface of a mobile device and an array of IR illuminators configured on the surface of the mobile device, capturing an IR image of the number of IR dots using an IR camera configured on the surface of the mobile device, and displaying a 3-D image of the user on a display or graphical user interface of the mobile device at least partially based on the captured IR image using a processing resource.

Abstract: Systems, apparatuses, and methods related to memory device sensors are described. Memory systems can include multiple types of memory devices including memory media and can write data to the memory media. Some types of memory devices include sensors embedded in the circuitry of the memory device that can generate data. The memory device can transmit the data generated by the embedded sensor using a sensor output coupled to another device. In an example, a method can include generating orientation data, including coordinates, of a memory device by measuring linear acceleration or rotational motion using a motion sensor embedded in circuitry of the memory device, receiving a signal that represents image data from an image sensor, and pairing the orientation data of the memory device with the image data.

Abstract: Systems, apparatuses, and methods related to media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Data inputs can be written (e.g., stored) in a particular type of memory media based on characteristics (e.g., source, attributes, and/or information etc. included in the data). For instance, selection of memory media can be based on characteristics of the memory media type and the attributes of the data input. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, data from at least one of a plurality of sensors, identifying one or more attributes of the data; and selecting, based at least in part on the one or more attributes of the data, one or more of the memory media types to write the data to.

Abstract: Embodiments of the disclosure are drawn to projecting light on a surface and analyzing the scattered light to obtain spatial information of the surface and generate a three dimensional model of the surface. The three dimensional model may then be analyzed to calculate one or more surface characteristics, such as roughness. The surface characteristics may then be analyzed to provide a result, such as a diagnosis or a product recommendation. In some examples, a mobile device is used to analyze the surface.

Abstract: Systems, apparatuses, and methods related to media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Data inputs can be written (e.g., stored) in a particular type of memory media based on characteristics (e.g., source, attributes, and/or information etc. included in the data). In an example, a method can include identifying an attribute of data based on a predetermined threshold distance; assigning a sensor of a plurality of sensors to capture the data based on the identified attribute; receiving, by a memory system that comprises a plurality of memory media types, the data from the assigned sensor; and selecting, based at least in part on information about the received data, one or more of the memory media types to write the data.

Abstract: Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile). Determinations of which memory media types to write image data to can be made and the data can be written (e.g., stored) in the determined type of memory media. A determined memory media type can be based on attributes of the data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, initial image data from an image sensor coupled to the memory system, identifying one or more attributes of the initial image data, determining a type of memory media to write the initial image data to based on the identified attributes of the initial image data, and selecting, based at least in part on the determined type of memory media, a first memory type of the plurality of memory media types to write the initial image data.

Abstract: Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media. Data can be written in a type of memory media based on one or more settings applied to the data. A setting can be determined based on input received by a logic within the memory system. In an example, a method can include receiving, at logic within a memory system that comprising a plurality of memory media types, data from an image sensor coupled to the logic of the memory system, receiving input from a host, identifying one or more attributes of the data, analyzing the received input to determine an setting, generating the setting based on the analyzed input, and writing the data to a first memory media type of the plurality of memory media types based on the generated setting.

Abstract: Systems, apparatuses, and methods related to media type selection for image data are described. Memory systems can include multiple types of memory media (e.g., volatile and/or non-volatile) and can write data to the memory media types. Image data inputs can be written (e.g., stored) in a particular type of memory media characteristics. For instance, selection of memory media can be based on one or more attributes of the image data. In an example, a method can include receiving, by a memory system that comprises a plurality of memory media types, image data from a first image sensor of a plurality of image sensors, identifying one or more attributes of the image data, and writing, based at least in part on the one or more attributes of the image data, the image data to a first memory media type of the plurality of memory media types.

Abstract: Data may be abstracted and/or masked prior to being provided to a machine learning model for training. A machine learning model may provide a confidence level associated with a result. If the confidence level is too high, the machine learning model or an application including the machine learning model may refrain from providing the result as an output. In some examples, the machine learning model may provide a “second best” result that has an acceptable confidence level. In other examples, an error signal may be provided as the output. In accordance with examples of the present disclosure, data may be abstracted and/or masked prior to being provided to a machine learning model for training and confidence levels of results of the trained machine learning model may be used to determine when a result should be withheld.

Abstract: Systems, apparatuses, and methods related to using memory device sensors are described. Some memory system or device types include sensors embedded in their circuitry. For instance, a device can be coupled to a memory device with an embedded sensor. The memory device can transmit the data generated by the embedded sensor using a sensor output coupled to the device. The memory device may generate, based at least in part on a characteristic of a memory device, a signal from a sensor embedded in the memory device and transmit the signal generated by the sensor from the memory device to another device coupled to the memory device.

Abstract: Systems, apparatuses, and methods related to using memory device sensors are described. Some memory system or device types include sensors embedded in their circuitry. For instance, another device can be coupled to a memory device with an embedded sensor. The memory device can transmit a signal representing sensor data generated by the embedded sensor using a sensor output coupled to the other device. A controller coupled to a memory device may determine one or more threshold values of a sensor or sensors embedded in a memory device. The memory device may transmit an indication responsive to one or more sensors detecting a value greater or less than a threshold and may transmit the indication to another device.