Assurant, Inc.

Mobile Defense, Inc.

Neevo, LLC

Stuart Saunders

Cameron Hurst

Dustin Brewer

Joan Patricia McDonald Meyer

Mircea Ionescu

Anthony Coble

Nathan Breitsch

Kenneth Alan Adair

Joan Patricia Meyer

Joan Patricia Mcdonald Meyer

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.

Systems and methods for collecting, tracking, and storing system performance and event data for computing devices

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.

System, method, apparatus, and computer program product for providing mobile device support services

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.

System, method, apparatus, and computer program product for utilizing machine learning to process an image of a mobile device to determine a mobile device integrity status

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.

Methods, apparatuses, and systems for network analysis

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 deice status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Growing community of inventors

Lakewood, OH, United States of America

Stuart Saunders