Micron Technology Incorporated

Zahra Hosseinimakarem

Bhumika Chhabra

Carla L Christensen

Radhika Viswanathan

Debra M Bell

Roya Baghi

Erica M Gove

Cheryl M O'Donnell

Jonathan D Harms

Yi Hu

Dmitry A Vengertsev

Marta Egorova

Mandy W Fortunati

Ariela E Gruszka

Alyssa N Scarbrough

John David Hopkins

Dmitry Vengertsev

An image or a spectrum of a surface may be acquired by a computing device, which may be included in a mobile device in some examples. The computing device may extract a measured spectrum from the image and generate a corrected spectrum of the surface. In some examples, the corrected spectrum may be generated to compensate for ambient light influence. The corrected spectrum may be analyzed to provide a result, such as a diagnosis or a product recommendation. In some examples, the result is based, at least in part, on a comparison of the corrected spectrum to reference spectra. In some examples, the result is based, at least in part, on an inference of a machine learning model.

Apparatuses and methods for color matching and recommendations

Methods, devices, and systems related to a computing device for capturing an augmented reality (AR) image displaying an AR are described. An example method can include projecting a structured array of light, from a mobile device, onto an object. The method further includes measuring multi-directional sections of the object with the projected light. The method further includes reconstructing a three-dimensional (3D) figure of the object based on the measured multi-directional sections. The method further includes displaying an augmented reality (AR) image associated with the 3D figure on a user interface of the mobile device.

Constructing an augmented reality image

Methods, apparatuses, and systems associated with anomaly detection and resolution are described. Examples can include detecting, via a sensor of a robot, an object in a path of the robot while the robot is performing a task in an environment and classifying the object as an anomaly or a non-anomaly and the environment as anomalous or non-anomalous using a machine learning model. Examples can include proceeding with the task responsive to classification of the object as a non-anomaly and the environment as non-anomalous and resolving the anomaly or the anomalous environment and proceeding with the task responsive to classification of the object as an anomaly or the environment as anomalous.

Anomaly detection and resolution

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.

Memory device sensors

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.

Highlighting a tagged object with augmented reality

Embodiments of the present disclosure include apparatuses and method for a stacked light emitting diode (LED) hologram display. A stacked LED hologram display can include a first array of LEDs that are configured to emit red light received by a meta-optics panel configured to display a first portion of a holographic image, a second array of LEDs that are configured to emit green light received by a meta-optics panel configured to display a second portion of a holographic image, and a third array of LEDs that are configured to emit blue light received by a meta-optics panel configured to display a third portion of a holographic image. The stacked LED hologram display can include a number of actuators configured to adjust a position of a first array of LEDs in first direction and a second direction, adjust a position of a second array of LEDs in the first direction and the second direction, and adjust a position of a third array of LEDs in the first direction and the second direction.

Stacked light emitting diode (led) hologram display

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.

Providing a route with augmented reality

In some implementations, a device may receive, from a sensor of a vehicle, sensor data. The device may detect whether an event causing damage to the vehicle has occurred or is expected to occur based on the sensor data being greater than a threshold, wherein the threshold is based on an on-off status of the vehicle and a sensor type. The device may activate, based on whether the event has occurred or is expected to occur, a camera of the vehicle to capture video data of a scene associated with the vehicle. The device may transmit, to a server, an indication that indicates the event and the video data.

Capturing video data of events associated with vehicles

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.

Media type selection for image data

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.

Image data based media type selection based on a first identified attribute of the initial image data

Embodiments of the present disclosure include apparatuses and methods for stacked polarizer hyperspectral imaging. In a number of embodiments, a method can include passing a light source input through a lens and a hyperspectral sensor, activating a first polarization layer of a plurality of polarization layers, detecting a first hyperspectral image with an array of pixels from the light source input that is polarized when passed through the first polarization layer, and determining, via a controller coupled to the array of pixels, whether a quality of the first hyperspectral image that was polarized by the first polarization layer meets a threshold. A stacked polarizer can include a plurality of polarizers that are stacked upon each other such that a hyperspectral light source input can be pass through the stack of polarizers and be detected by a pixel of an image sensor cell. Each of the polarizers in the stack of polarizers can be individually activated and deactivated.

Stacked polarizer hyperspectral imaging

Methods, apparatuses, and non-transitory machine-readable media for displaying information and/or images on a display of a computing device based on received data. Apparatuses can include a display screen, a memory resource, a recognition sensor, and a controller. An example controller can receive data and activate information and/or images on a display screen based in part on the received data. In another example, a method can include storing recognition data in a memory resource, receiving primary recognition data, comparing the primary recognition data to the stored recognition data, and activating the display screen for a viewing angle responsive to authentication of the primary recognition data through the comparison of the primary recognition data and the stored recognition data.

Display visibility block

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.

Using memory device sensors

Methods, devices, and systems related to a computing device for capturing and displaying an augmented reality (AR) image are described. An example method can include capturing a first three-dimensional (3D) figure of a user at a mobile device. The method further includes accessing the first 3D figure of a user at the mobile device. The method further includes receiving, at the mobile device, a selection of a product to display on the 3D figure. The method further includes displaying, on the mobile device, the product to display on the first 3D figure as an augmented reality (AR) image.

Augmented reality product display

Methods and apparatuses related to 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 often are subject to risks of the data being undesirably exposed to the public. For example, requests to write data in the memory media can often be made and accepted without a user's awareness, which can lead to the undesirable exposure of the data. According to embodiments of the present disclosure, a particular portion and/or location in the memory media can provide a data protection scheme such that data stored in the particular location can be refrained from being transferred out of the computing system.

Growing community of inventors

Boise, ID, United States of America

Zahra Hosseinimakarem