Abstract: This disclosure relates to a system and method for detecting an item having at least one symmetry property inside an inspection object based on at least one transmission image. The method includes the steps: (a) detection of edges of individual items contained in the transmission image in order to produce an edge image; and (b) detection of the item by determining a symmetry line that can be associated with an item with at least one symmetry property contained in the transmission image based on pairs of edge picture elements of the edge image that are positioned symmetrically to each other relative to the symmetry line; and in step (b), in determining the symmetry line in the edge image, the only edge picture elements that are taken into account are those for which the symmetry line lies in an item contained in the transmission image, to which item the edge belongs.

Abstract: A system that performs noise estimation for an audio adjustment application comprises a coherence calculator that determines at least one coherence value between microphone signals generated by at least two microphones that each independently senses acoustic energy in a listening space. A first microphone of the at least two microphones generates a first microphone signal from the acoustic energy and a second microphone of the at least two microphones generates a second microphone signal from the acoustic energy. The acoustic energy comprises a combination of an audio signal transduced by one or more speakers and environmental noise of the acoustic energy that is local to the listening space. A noise estimate computation processor determines an estimate of a level of the environmental noise based on the at least one coherence value.

Abstract: Embodiments include a vehicle comprising an audio system configured to create a plurality of audio zones within a vehicle cabin, and at least one display communicatively coupled to the audio system. The display is configured to display a separate user interface for each audio zone. Each user interface comprises an engine sound control and a cabin noise control for adjusting an audio output provided to the corresponding audio zone. Embodiments also include a method of providing user-controlled sound isolation in a plurality of audio zones within a vehicle. The method comprises presenting, for each audio zone, a user interface including an engine sound control and a cabin noise control, and generating an audio output for each audio zone based on a first value received from the engine sound control and a second value received from the cabin noise control of the corresponding user interface.

Abstract: A method for assembling the fingerprint identification module is provided. Firstly, a protective cover and a fingerprint sensing element are combined together. Then, the fingerprint sensing element is placed on the circuit board. Then, a triggering element is placed on the circuit board. Then, an adhesive thickness is obtained according to a predetermined thickness and the thicknesses of the protective cover, the fingerprint sensing element, the triggering element and the circuit board. Then, an adhesive film corresponding to the adhesive thickness is placed on the circuit board. Since the appropriate adhesive film is selected according to the demand, the thickness of the fingerprint identification module is substantially identical to the predetermined thickness.

Abstract: A medical image processing apparatus, includes: a reconstructed moving image obtainer that obtains a reconstructed moving image; a focus region identifier that identifies a first focus region corresponding to the designated focus; a fluoroscopic moving image obtainer that obtains at least one-period data on a fluoroscopic moving image; a second characteristics identifier that identifies each of two or more second characteristics regions corresponding to the internal body portion; a comparison selector that compares the two or more first characteristic regions; a conversion parameter calculation unit that calculates a conversion parameter for converting the first characteristic region.

Abstract: A media system for a vehicle having a chassis comprises an electroacoustic transducer, integrated into a face panel of a stowage bin inside the vehicle. The stowage bin comprises a mounting structure that is stationary relative to the chassis of the vehicle. An interior of the stowage bin is accessible via the face panel. The face panel is movably coupled to the mounting structure.

Abstract: A method, computer program product, and computer system for receiving an indication that a first module is operatively connected to a main module, wherein the first module and the main module include hardware modules. A type of speaker operatively connected to the first module is identified. The type of speaker is matched to a speaker profile, wherein the speaker profile includes a predefined sound curve setting. The first module is tuned to the predefined sound curve setting based upon, at least in part, matching the type of speaker to the speaker profile.

Abstract: The disclosure relates to phenotype analysis of cellular image data using a machine-learned, deep metric network model. An example method includes receiving, by a computing device, a target image of a target biological cell having a target phenotype. Further, the method includes obtaining, by the computing device, semantic embeddings associated with the target image and each of a plurality of candidate images of candidate biological cells each having a respective candidate phenotype. The semantic embeddings are generated using a machine-learned, deep metric network model. In addition, the method includes determining, by the computing device, a similarity score for each candidate image. Determining the similarity score for a respective candidate image includes computing a vector distance between the respective candidate image and the target image. The similarity score for each candidate image represents a degree of similarity between the target phenotype and the respective candidate phenotype.

Abstract: Soundfield signals such as e.g. Ambisonics carry a representation of a desired sound field. The Ambisonics format is based on spherical harmonic decomposition of the soundfield, and Higher Order Ambisonics (HOA) uses spherical harmonics of at least 2nd order. However, commonly used loudspeaker setups are irregular and lead to problems in decoder design. A method for improved decoding an audio soundfield representation for audio playback comprises calculating a panning function (W) using a geometrical method based on the positions of a plurality of loudspeakers and a plurality of source directions, calculating a mode matrix (?) from the loudspeaker positions, calculating a pseudo-inverse mode matrix (?+) and decoding the audio soundfield representation. The decoding is based on a decode matrix (D) that is obtained from the panning function (W) and the pseudo-inverse mode matrix (?+).

Abstract: An example implementation may involve a control device identifying a playback device base in a media playback system. The playback device base includes an interface to communicate with a playback device placed on the playback device base. The example implementation may further involve a control device receiving an input comprising a zone property to assign to the playback device base, and causing the identified playback device base to be assigned the zone property, wherein the zone property is associated with a particular zone of a media playback system.

Abstract: Techniques described herein may involve dynamically adjusting the equalization of multiple speakers in a playback device. An example implementation involves a playback device emitting, via a first speaker, a first audio signal and emitting, via a second speaker, a second audio signal. The playback device may detect, via a microphone, an audio signal representing (i) at least a portion of the first audio signal and (ii) at least a portion of the second audio signal. The implementation may further involve the playback device determining one or more reflection characteristics based on the detected audio signal. The example implementation may also involve identifying a first audio setting and a second audio setting based on one or more reflection characteristics and applying (i) the first audio setting to playback of media content via the first speaker and (ii) the second audio setting to playback of media content via the second speaker.

Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.

Abstract: A signal processing module is configured to receive left and right channels of stereo input audio data and generate first and second channels of output audio data for first and second loudspeakers where the first and second loudspeakers have different frequency responses to one another. The signal processing module comprises an impulse emphasis block configured to emphasize impulsive sounds in the received audio in at least one of the first and second channels of output audio data.

Abstract: A system and method for managing wireless earpieces. Circuitry of the wireless earpieces are powered utilizing a high power mode in response to detecting a magnetic field is not applied to one or more of the wireless earpieces. The power sent to the circuitry of the wireless earpieces is altered to a low power mode in response to detecting the magnetic field is applied to one or more of the wireless earpieces.

Abstract: Aspects of a multi-orientation playback device including at least one microphone array are discussed. A method may include determining an orientation of the playback device which includes at least one microphone array and determining at least one microphone training response for the playback device from a plurality of microphone training responses based on the orientation of the playback device. The at least one microphone array can detect a sound input, and the location information of a source of the sound input can be determined based on the at least one microphone training response and the detected sound input. Based on the location information of the source, the directional focus of the at least one microphone array can be adjusted, and the sound input can be captured based on the adjusted directional focus.

Abstract: Exemplary embodiments are generally directed to systems and methods of object identification. Exemplary embodiments can scan, by an optical reader, a machine-readable identifier associated with an original object. Exemplary embodiments can capture an image of the original object at a first orientation using an image capture device. Exemplary embodiments can transmit the machine-readable identifier and the image of the original object to an image database to store an association between the image of the original object and the machine-readable identifier. Exemplary embodiments can receive a subsequent object having a subsequent machine-readable identifier that is unavailable or incapable of being scanned. Exemplary embodiments can capture an image of the subsequent object with the image capture device.

Abstract: An AMD prediction model utilizes an OCT image estimation model. The OCT image estimation module is created by segmenting an OCT image to generate an OCT projection image for each of multiple biological layers; extracting from each of the generated OCT projection images a first set of features; extracting a second set of features from an input retinal fundus image; for each respective biological layer, registering the input retinal fundus image to the respective OCT projection image by matching at least some of the second set of features with corresponding ones of the first set of features; repeating the above with changes to the input retinal fundus image; and modelling how the changes to the input retinal fundus image are manifest at the correspondingly registered projection images. Estimated OCT projection images can then be generated for the multiple biological layers from a given retinal fundus image.

Abstract: A system and method for testing a wireless earpiece which provides improved efficiencies in manufacturing. Automated testing of one or more printed circuit boards of the wireless earpiece is initiated. The semi-assembled wireless earpiece is tested. End-of-line functional testing is performed. Final acoustic testing of the wireless earpiece is performed.

Abstract: Described are techniques for configuring a group of devices to perform a function by using a master device to provide data to other devices within the group. Test data may be communicated between a selected device and each device in the group to determine link quality values for each communication. A value indicative of the airtime that would be used to distribute data using the selected device may be determined. This process may be repeated for each device within the group. The selected device associated with the lowest airtime value may be designated as the master device. Data transmitted from the master device to the other devices may be used to cause the group of devices to perform a function.

Abstract: In one aspect, a device includes a processor and storage accessible to the processor. The storage bears instructions executable by the processor to receive, at a microphone, voice input, and to determine an amplitude of the voice input. The instructions are executable to automatically adjust a volume of a speaker based on the amplitude of the voice input.