Motorola Mobility LLC

Lenovo (singapore) Pte. Ltd.

Yunming Wang

Miao Song

Vivek Kumar Tyagi

Nikhil Ambha Madhusudhana

Sudhir C Vissa

Douglas Alfred Lautner

Ming Qian

Russell Speight VanBlon

Song Wang

Hong Zhao

Joseph Vincent Nasti

Chao Ma

Zhicheng Fu

Erin Wang

A hybrid method of low light image enhancement in an electronic device comprises downsampling a high resolution, low light image to obtain a low resolution, low light image and inputting the low resolution, low light image into a low light enhancement model of a deep neural network to obtain a low resolution, enhanced image where semantic information such as true colors, edges, and brightness level are recovered. The high resolution, low light image, the low resolution, low light image, and the low resolution, enhanced image are each input into a mathematical model that performs upsampling and super-resolution tasks to generate a high resolution, enhanced image.

Electronic devices and corresponding hybrid methods of low light image enhancement

A method for indicating a responding virtual assistant from one of a plurality of virtual assistants is disclosed. The method includes receiving a spoken query from a user of an electronic device. The method includes determining whether the spoken query addresses a particular one of a plurality of virtual assistants on the electronic device. The method includes polling a first set of the virtual assistants with the spoken query in response to the spoken query not addressing a particular one of the plurality of virtual assistants. The method further includes presenting a response to the spoken query with an indicator of a virtual assistant providing the response. An apparatus and computer program product are also disclosed, which perform the method.

Indicating a responding virtual assistant from a plurality of virtual assistants

In aspects of location correlation in a region, a mobile device implements a location module that determines a current location of the mobile device in a region within communication range of a radio system based on location data received in radio signals from the radio system. The location module determines region coordinates at the current location of the mobile device in the region. The location module can then associate the region coordinates at the current location of the mobile device in the region with pixel grid coordinates determined from a digital image view as captured by a camera system in the region, and generate a location mapping of the region based on the current location and subsequent locations of the mobile device in the region. The location mapping correlates the locations of the mobile device in the region based on the pixel grid coordinates at the respective locations.

Location correlation in a region based on signal strength indications

A method, a system, and a computer program product for visually identifying the at least one target subject within a real-time view of a current scene. The method includes capturing, by at least one image sensor, a real-time view of a current scene. The method further includes performing a visual analysis of the real-time view to identify at least one subject. The method further includes: receiving, in real-time, a natural language input which includes verbal utterances of at least one speaker; and identifying, within the natural language input, a description of at least one particular subject. The method further includes: analyzing the current scene to identify at least one target subject that matches the description of the at least one particular subject; and in response to identifying the at least one target subject, applying at least one visual identifier to the real-time view of the current scene.

Visual perception assistant

In aspects of visual mapping of geo-located tagged objects, a mobile device includes a mapping module that receives map data of a geo-fenced area from a controller device of the geo-fenced area. The mobile device can scan for wireless-enabled devices within a geo-fenced area, and receive a designation input of a tagged object that corresponds to one of the wireless-enabled devices. The mapping module is implemented to generate a visual mapping that displays a route from the mobile device to the tagged object based on the map data. The mapping module can receive object metadata about the tagged object as the mobile device approaches the tagged object along the route of the visual mapping, and a 3D visual representation of the tagged object is displayed based on a received 3D object model of the tagged object.

Visual mapping of geo-located tagged objects

A method and data processing device for detecting and tracking objects in a space. The method includes transmitting an inquiry signal that traverses into the space, which is behind a physical barrier and is pre-configured with a plurality of radio frequency identification (RFID) tags. The method includes transmitting, via a RFID module, a second signal at a second frequency range. The method includes monitoring for a RFID response signal, which is a backscatter signal generated in response to the second signal impinging on the RFID tag and one or more objects in the space. The method includes identifying and extracting an interference reflection signal from the response signal to determine a presence of an unknown object. The method includes tracking the unknown object within the space and providing more specific position data of the unknown object within the space, to a display of an electronic device.

RFID module for through boundary location accuracy

In aspects of location correlation in a region based on signal strength indications, a mobile device implements a location module that determines a current location of the mobile device in a region within communication range of a first radio system based on location data received in radio signals from the first radio system. The location module determines received signal strength indication (RSSI) values from signals received from a second radio system at the current location of the mobile device. The location module can then associate the current location of the mobile device in the region with the RSSI values, and generate a location mapping of the region based on the current location and subsequent locations of the mobile device in the region. The location mapping correlates the locations of the mobile device in the region with the determined RSSI values at the respective locations.

In aspects of user pose and item correlation, a mobile device includes a correlation module that receives an indication a user of the mobile device has positioned a hand proximate an item based on a pose of the user. The mobile device includes wireless radio systems to scan for wireless-enabled devices corresponding to items tagged with the wireless-enabled devices. The correlation module of the mobile device is implemented to receive the indication that the hand of the user of the mobile device is positioned proximate the item, and initiate a scan from the mobile device for the wireless-enabled devices proximate the user based on the indication of the hand of the user positioned proximate the item. The correlation module receives identifying data of the item that is proximate the hand of the user responsive to the scan of the wireless-enabled devices, and can correlate the item with the user.

User pose and item correlation

A method and data processing device for detecting and tracking objects in a space. The method includes transmitting an inquiry signal that traverses into the space, which is behind a physical barrier and is pre-configured with a plurality of radio frequency identification (RFID) tags. The method includes monitoring for a corresponding response signal. In response to not detecting the corresponding response signal, an RFID reader module transmits a second signal. The method includes monitoring for and recording a RFID response signal, which is generated in response to the second signal impinging on the RFID tag and one or more objects in the space. The method includes extracting a reflection signal from the response signal to determine the presence of an unknown object. The method includes tracking the unknown object within the space, and providing more specific position data of the unknown object to a display of an electronic device.

Growing community of inventors

Buffalo Grove, IL, United States of America

Yunming Wang