Abstract: One example food preparation appliance includes a base having a motor and an adaptor, a weight sensor coupled to the adaptor, and a communication component. The adaptor is configured to support a food preparation accessory. The weight sensor is configured to detect a weight applied to the adaptor. The communication component is configured to transmit data associated with a weight detected by the weight sensor. An example remote communication device includes a display device, a processor; and a memory coupled to the processor. The remote communication device is configured to display a first instruction on the display device, the first instruction including a first target weight of a first substance; receive a measurement from a food preparation appliance indicative of a weight applied to an adaptor of the food preparation appliance; and display a second instruction when the weight is substantially equal to the first target weight.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured device status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.

Abstract: Methods, systems, apparatuses, and computer readable media for providing a network analysis system are disclosed. An example of a system for providing a network analysis system includes at least one satellite device configured to monitor wireless network traffic to determine at least one network communication event, generate an event message based on the at least one network communication event, and transmit the event message. The system also includes a controller device configured to receive the event message, determine an identity of at least one device communicating during the network communication event, determine a network status based at least in part on the identity of the at least one device, and provide the network status via an interface.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured device status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: Assembly of harness and sensor substrate plates for monitoring vital signals of a patient is provided. More specifically, the present invention provides a harness, a sensor substrate plate, and related devices for non-invasively monitoring vital signals of a patient. The sensor substrate plate provides removable attachment to the skin of a patient to measure vital signals of the patient. The sensor substrate plate comprises an elongated main body comprising an upper surface and an under surface. The upper surface is configured to removably contact the skin surface of the patient. Further, a plurality of slots on the upper surface of the main body is mechanically and electrically configured to hold sensors or electrodes for monitoring biometric parameters of the patient. The upper surface also includes a first through hole mechanically and electrically configured to hold an electrical connector; and a first end and a second end of the main body.

Abstract: Methods, systems, apparatuses, and computer readable media for providing a network analysis system are disclosed. An example of a system for providing a network analysis system includes at least one satellite device configured to monitor wireless network traffic to determine at least one network communication event, generate an event message based on the at least one network communication event, and transmit the event message. The system also includes a controller device configured to receive the event message, determine an identity of at least one device communicating during the network communication event, determine a network status based at least in part on the identity of the at least one device, and provide the network status via an interface.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: One example food preparation appliance includes a base having a motor and an adaptor, a weight sensor coupled to the adaptor, and a communication component. The adaptor is configured to support a food preparation accessory. The weight sensor is configured to detect a weight applied to the adaptor. The communication component is configured to transmit data associated with a weight detected by the weight sensor. An example remote communication device includes a display device, a processor; and a memory coupled to the processor. The remote communication device is configured to display a first instruction on the display device, the first instruction including a first target weight of a first substance; receive a measurement from a food preparation appliance indicative of a weight applied to an adaptor of the food preparation appliance; and display a second instruction when the weight is substantially equal to the first target weight.

Abstract: One example food preparation appliance includes a base having a motor and an adaptor, a weight sensor coupled to the adaptor, and a communication component. The adaptor is configured to support a food preparation accessory. The weight sensor is configured to detect a weight applied to the adaptor. The communication component is configured to transmit data associated with a weight detected by the weight sensor. An example remote communication device includes a display device, a processor; and a memory coupled to the processor. The remote communication device is configured to display a first instruction on the display device, the first instruction including a first target weight of a first substance; receive a measurement from a food preparation appliance indicative of a weight applied to an adaptor of the food preparation appliance; and display a second instruction when the weight is substantially equal to the first target weight.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured device status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured device status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: Methods, systems, apparatuses, and computer readable media for providing a network analysis system are disclosed. An example of a system for providing a network analysis system includes at least one satellite device configured to monitor wireless network traffic to determine at least one network communication event, generate an event message based on the at least one network communication event, and transmit the event message. The system also includes a controller device configured to receive the event message, determine an identity of at least one device communicating during the network communication event, determine a network status based at least in part on the identity of the at least one device, and provide the network status via an interface.