Abstract: Disclosed herein are polymer-based films (and articles of manufacture made therefrom or comprising thereof). In several embodiments, the film comprises biodegradable polymers. In several embodiments, the film comprises post-consumer recycled material. In several embodiments, the film comprises an odor absorbing agent (e.g., carbon). In several embodiments, an article of manufacture comprising a film as disclosed herein or the film itself is biodegradable.

Abstract: This disclosure includes a description of various embodiments of waste-receiving systems. In some embodiments, a waste-receiving system comprises at least one waste receptacle configured to be positioned inside of a cabinet, an electric drive system configured to transition the waste-receiving system from a retracted or closed position within a closed cabinet to an extended or open position that provides access to the waste receptacle inside of the waste-receiving system, such as by moving the waste receptacle at least partially outside of the cabinet or opening a cabinet door or access region. The system can include a sensor system configured to generate one or more electronic signals from an environment, such as from a user, and a processor in electronic communication with the sensor system and a motor, the processor configured to actuate the motor based at least in part on the one or more electronic signals received from the sensor system.

Abstract: The present disclosure relates to a mirror assembly having a housing, a first mirror, a second mirror, a light source, and a sensor assembly. The first mirror can be positioned within an opening of the housing. The front surface of the second mirror can be coupled to a rear surface of the first mirror. The light source can be disposed on or at least partially around the first mirror. The sensor assembly can be positioned between a rear surface of the second mirror and the housing. The sensor assembly can include a transmitter positioned behind the rear surface of the second mirror and a receiver positioned behind the rear surface of the second mirror. The light source can be activated when the sensor assembly detects a user's presence.

Abstract: Described herein are systems and methods that highlight target objects in media content. The detection system trains a neural network to identify objects within an image. The detection system receives a text input requesting a search within the image and applies a search language model to the text input, which identifies a target object associated with the requested search. The detection system applies the neural network to the image to identify instances of the target object. The detection system modifies a user interface to include the image and modifies the image to highlight the identified instances of the target object. The detection system receives feedback that modifies the highlighted instances of the target object within the user interface and retrains the neural network based on the modified highlighted instances.

Abstract: A system accesses a first video stream from an internal scanning device (e.g., an X-ray scanner) that scans objects or individuals. It also accesses a second video stream from a capturing device that records a human operator reviewing and interacting with the first stream on a display to identify targeted subject matter. The system then identifies the targeted subject matter based on the operator's interactions and constructs a training dataset based on the identified targeted subject matter. Using this training dataset, the system trains a machine-learning model to identify the targeted subject matter in future video streams from scanning devices.

Abstract: A stackable, embeddable capacitor has one or more first type vertical capacitor elements, each of which has a top cathode, a bottom anode, and a first orientation central capacitance region between the top cathode and the bottom anode. The capacitor also has one or more second type vertical capacitor elements, each of which has a bottom cathode, a top anode, and a second orientation central capacitance region between the bottom cathode and the top anode. The second type vertical capacitor elements are alternatingly stacked on the first type vertical capacitor elements.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: Described herein are systems and methods that detect and filter objects from media content. In particular, a detection system accesses classifiers that can detect objects when applied to a video. The detection system receives a text input from a user interface identifying filtering criteria for outputs of the classifiers and inputs the filtering criteria to a filtering language model that produces a filtering object. The detection system presents the filtering object at the user interface. In response to a user accepting the filtering object, the detection system applies the classifiers to the video, which produces a set of detected objects. The detection system applies the filtering object to the detected objects by removing a subset of the detected objects that do not satisfy the filtering criteria and presents the video with the filtered set of detected objects highlighted within the video.

Abstract: The present disclosure relates to a mirror assembly having a housing, a first mirror, a second mirror, a light source, and a sensor assembly. The first mirror can be positioned within an opening of the housing. The front surface of the second mirror can be coupled to a rear surface of the first mirror. The light source can be disposed on or at least partially around the first mirror. The sensor assembly can be positioned between a rear surface of the second mirror and the housing. The sensor assembly can include a transmitter positioned behind the rear surface of the second mirror and a receiver positioned behind the rear surface of the second mirror. The light source can be activated when the sensor assembly detects a user's presence.

Abstract: An integrated passive device has a device core of a first metal material and defined by a first side and a second side. Conducting polymer layers are disposed on each of the first side and the second side, and a pattern of one or more direct recesses to the device core are defined in the conducting polymer layers. Bonding material layers are on at least selected areas of the device core that are generally coextensive with the pattern of one or more direct recesses in the conducting polymer layers. First conductive structures of a second metal material different from the first metal material extend from the first side and the second side of the device core. Each of the conductive structures are bonded to a respective one of the bonding material layers. An insulating dielectric encapsulates at least the device core and the conducting polymer layers.

Abstract: This disclosure includes a description of a sanitizing system for sanitizing a mobile electronic device comprising: a housing; a sanitizer contained within the housing configured to emit radiation with a sanitizing effect; and an entry system with a default closed position, the entry system being configured to permit a mobile electronic device to pass through the entry system and then automatically return to the default closed position, the entry system comprising a first outer enclosure and a second inner obstruction; wherein the entry system blocks radiation emitted within the sanitizing system to a level acceptable for consumer use, or wherein the second inner obstruction provides more radiation attenuation than the first outer enclosure, and/or wherein the combination of the first outer enclosure and the second inner obstruction provides more radiation attenuation than the first outer enclosure by itself. Disclosed are internal reflectors to help distribute sanitizing radiation generally evenly.

Abstract: The present disclosure relates to a mirror assembly having a housing, a first mirror, a second mirror, a light source, and a sensor assembly. The first mirror can be positioned within an opening of the housing. The front surface of the second mirror can be coupled to a rear surface of the first mirror. The light source can be disposed on or at least partially around the first mirror. The sensor assembly can be positioned between a rear surface of the second mirror and the housing. The sensor assembly can include a transmitter positioned behind the rear surface of the second mirror and a receiver positioned behind the rear surface of the second mirror. The light source can be activated when the sensor assembly detects a user's presence.

Abstract: A stackable, embeddable capacitor has one or more first type vertical capacitor elements, each of which has a top cathode, a bottom anode, and a first orientation central capacitance region between the top cathode and the bottom anode. The capacitor also has one or more second type vertical capacitor elements, each of which has a bottom cathode, a top anode, and a second orientation central capacitance region between the bottom cathode and the top anode. The second type vertical capacitor elements are alternatingly stacked on the first type vertical capacitor elements.

Abstract: A household sprayer may include a liquid reservoir configured to store a liquid and a nozzle connected to the liquid reservoir, wherein the nozzle is configured to spray liquid. A household sprayer may include a nozzle actuator connected to the nozzle, wherein the nozzle actuator is configured to control the spray profile of liquid exiting the nozzle, and a pump connected to the nozzle and the liquid reservoir, wherein the pump is configured to cause liquid to flow from the liquid reservoir to the nozzle. A household sprayer may include a battery electrically connected to the pump, wherein the battery is configured to provide power to the pump. A household sprayer may include an outer housing enclosing the liquid reservoir, the pump, and the battery and a sensor disposed beneath the outer housing, wherein activating the sensor causes the pump to activate, thereby causing liquid to spray from the nozzle.

Abstract: An integrated passive device (IPD) comprises a first and second stacked capacitors, each including a conductive substrate having a front side and a back side, a front dielectric layer on the front side of the conductive substrate, a back dielectric layer on the back side of the conductive substrate, a front conductive polymer layer on the front dielectric layer, and a back conductive polymer layer on the back dielectric layer. The IPD may comprise a first metal contact electrically connected to one or both of the conductive substrates of the first and second capacitors and a second metal contact electrically isolated from the first metal contact and electrically connected to the front and back conductive polymer layers of the first and second capacitors. The IPD may comprise a passthrough electrical connection between front and back outer surfaces of the IPD.

Abstract: This disclosure includes a description of a sanitizing system for sanitizing a mobile electronic device comprising: a housing; a sanitizer contained within the housing configured to emit radiation with a sanitizing effect; and an entry system with a default closed position, the entry system being configured to permit a mobile electronic device to pass through the entry system and then automatically return to the default closed position, the entry system comprising a first outer enclosure and a second inner obstruction; wherein the entry system blocks radiation emitted within the sanitizing system to a level acceptable for consumer use, or wherein the second inner obstruction provides more radiation attenuation than the first outer enclosure, and/or wherein the combination of the first outer enclosure and the second inner obstruction provides more radiation attenuation than the first outer enclosure by itself. Disclosed are internal reflectors to help distribute sanitizing radiation generally evenly.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

Abstract: A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.