Abstract: An example system includes an image sensor, a plurality of audio endpoints, and an electronic device comprising a controller. The controller is to receive images of a user's face from the image sensor. In addition, the controller is to detect, in the images, a gesture of the user to point to a feature on the user's face. Further, the controller is to transition between use of the plurality of audio endpoints in response to detecting the gesture.

Abstract: In some examples, a non-transitory machine-readable medium is provided. The non-transitory machine-readable medium stores machine-readable instructions that, when executed by a processor of an electronic device, cause the processor to receive an audio signal over a time period, to detect audio events in the audio signal, to assign a distinct disruption score to each of the audio events, to calculate a running average of the disruption scores, and to cause a display device to display a quality score based on the running average, where the quality score is indicative of a perceived quality of the audio signal.

Abstract: In some examples, an electronic device includes a processor to identify a first location based on an image captured by a camera. In some examples, the processor detects a movement of the electronic device based on sensor data generated by a sensor. In some examples, the processor identifies a second location when the movement satisfies a registration condition.

Abstract: An example system includes a first image sensor, a second image sensor, and an electronic device. The electronic device includes a controller that is to compare positions of a human face and a non-human object in a first set of images captured by the first image sensor. In addition, the controller is to select a presentation arrangement of the first set of images and a second set of images captured by the second image sensor based on the comparison. Further, the controller is to output the first set of images and the second set of images to a video conferencing application in the selected presentation arrangement.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a processor to generate an evaluation image dataset to determine precision of a machine learning object detection model. In some examples, the processor is to run the evaluation image dataset on the object detection model to identify a misdetection region in the evaluation image dataset. In some examples, the processor is to generate a training image dataset to adjust the object detection model based on the identified misdetection region.

Abstract: In examples, an electronic device comprises a camera to capture an image of a space and a processor coupled to the camera. The processor is to receive the image of the space from the camera; identify a person in the image and a presentation device in the image; identify a head position of the person based on the image; determine whether the person is viewing the presentation device based on the head position; and perform an action relating to the presentation device based on the determination.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a processor to provide a first set of images to an object tracker to output a bounding shape that represents an object in the first set of images. In some examples, the processor is to estimate a size and location of the bounding shape in a second set of images in response to the object tracker losing track of the object in the second set of images.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a camera. In some examples, the electronic device also includes a processor to start a lock timer to lock the electronic device in response to detecting that a first person leaves a field of view of the camera. The processor is also to adjust the lock timer in response to detecting a second person within the field of view of the camera.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a camera to capture a composite image comprising multiple images of a location. In some examples, the electronic device includes a processor to crop a portion of the composite image based on a field-of-view of the camera. In some examples, the processor is to determine whether a neural network identifies the cropped portion. In some examples, the processor is to generate a unique identifier (ID) for the cropped portion in response to the cropped portion being unidentified by the neural network. In some examples, the processor is to associate the unique ID of the cropped portion with the location.

Abstract: A method of determining whether a processing unit is compliant with a security policy is provided. The method may comprise obtaining first data indicative of a power consumption profile of the processing unit for a first time period, the power consumption profile comprising a variation of power consumption with time. The method may comprise determining whether the processing unit is compliant with the security policy during the first time period depending, at least in part, on the obtained first data. It may be that the processing unit complying with the security policy gives rise to a power signature in the power consumption profile of the processing unit during a period of compliance.

Abstract: In some examples an electronic device includes a sensor, and a controller to detect a proximity of a second electronic device via the sensor. In response to determining that the proximity is within a threshold distance, the controller causes transmission of context information to the second electronic device. The context information is generated based on a location, a time, an application executed by the second electronic device, or a combination thereof. In response to the transmission of the context information, the controller receives a first signal from the second electronic device, and, in response to the first signal, the controller causes transmission of a second signal, the second signal to enable coupling to the second electronic device.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a basic input/output system (BIOS) and a processor. In some examples, the processor is to receive an enrollment message for a function of the electronic device from a server, and send the enrollment message to the BIOS. In some examples, the BIOS is to store the enrollment message in a BIOS memory. In some examples, the BIOS is to verify the enrollment message in response to a function activation request from the processor. In some examples, the processor is to enable the function based on a function activation response from the BIOS.

Abstract: In some examples, an electronic device is provided. The electronic device comprises an audio device, an image sensor, a storage device storing a first and a second configuration profile, a display device to display a graphical user interface, and a processor. The first configuration profile is associated with a conferencing context, and the second configuration profile is associated with a security context. The graphical user interface has a first icon representing the first configuration profile and a second icon representing the second configuration profile. The processor is to, in response to a selection of the first icon, configure the audio device and the image sensor based on the first configuration profile. The processor is to, in response to a selection of the second icon, configure the audio device and the image sensor in accordance based on the second configuration profile.

Abstract: Example implementations relate to modifying clock-boost parameters. In some examples, a controller of a computing device may determine a thermal headroom based on a thermal capacity of the computing device, an energy inflow to a processor received from circuitry of the computing device, a temperature of the processor, and a speed of a fan of the computing device, and modify a clock boost parameter for the processor based on the thermal headroom.

Abstract: An example apparatus includes a power monitor, a memory, and a processor. The power monitor is to measure a power level of the apparatus. The memory is to store a power level to temperature increase rate correlation. The processor is in communication with the power monitor and the memory. The processor is to determine that an internal temperature threshold is to be exceeded based on the power level and the power level to temperature increase rate correlation. The processor also is to perform a device operation modification to reduce the power level in response to a determination that the internal temperature threshold is to be exceeded.

Abstract: Examples disclosed herein provide a computing device. As an example, the computing device includes a camera comprising a lens, and a housing comprising an opening extending through the housing, wherein the opening is to accommodate the lens. The housing further includes a shutter to selectively obscure the opening, and a mechanical trigger, upon receiving an electrical signal, to move the shutter to obscure the opening.

Abstract: Examples disclosed herein provide a computing device. As an example, the computing device includes a camera comprising a lens, and a housing comprising an opening extending through the housing, wherein the opening is to accommodate the lens. The housing further includes a shutter to selectively obscure the opening, and a mechanical trigger, upon receiving an electrical signal, to move the shutter to obscure the opening.

Abstract: Example implementations relate to accessibility of components. In an example, the system may include a processing resource and a memory resource storing readable instructions to cause the processing resource to determine, in response to a sensor value, a state of a computing device that includes a plurality of components, determine, in response to the state of the computing device, an accessibility of the plurality of components, select a component from the plurality of components based on the accessibility of the plurality of components, and alter an electrical state of the selected component that is utilized to identify a user.

Abstract: In an example implementation according to aspects of the present disclosure, a method may include detecting an external event to indicate a desired directionality of charging between batteries disposed in a first device and a second device. The method further includes determining whether the desired directionality of the charging between the batteries is allowable and, if the desired directionality is allowable, initiating the desired directionality of the charging between the batteries.