Techniques are presented herein that support an audio and video policy framework that utilizes available sensors (encompassing both true Internet of things (IoT) sensors as well as the identification of beacons from mobile phones, consumer laptops, etc.) in conjunction with historical meeting data to suggest and enforce policies during teleconference meetings. By taking stock of the immediate environment surrounding a meeting participant, such a framework can enforce the audio and video options that are available to the user to align with secure practices and confidentiality protections. Aspects of the presented techniques support the identification of "safe spaces" through the use of Global Positioning System (GPS) coordinates, the detection of an increased presence of consumer devices for the purpose of suggesting and applying audio and visual security profiling, and the ability to send a notification to a telepresence user in the event that predicted meeting content may be too sensitive based on the environment of the meeting participant.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Engi, Derek; A Salgueiro, Gonzalo; Allen, Julie; and Delaunay, Pascale, "ENDPOINT POLICY ENFORCEMENT OPTIMIZATION AND DYNAMIC ENVIRONMENT ASSESSMENT DURING VIDEO CONFERENCES", Technical Disclosure Commons, (June 16, 2023)