> For the complete documentation index, see [llms.txt](https://docs.openmind.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.openmind.com/full-autonomy-guidelines/features/face-detection-anonymization.md). # Face Detection & Anonymization Privacy-aware perception: detect and anonymize faces in the robot's video. Put a camera-equipped robot in a public space or a workplace and privacy stops being optional. OM1 can detect faces in the live video feed and **anonymize** them — obscuring people who aren't part of an interaction — before the footage is used or streamed. The agent can still reason about what it sees ("a person is present") without keeping identifiable images. This is a managed capability of the OM1 autonomy stack: you enable and configure it through the [OpenMind portal](https://portal.openmind.com), not the robot's local API, and it runs on the GPU-accelerated video pipeline on supported platforms. Because it touches how footage is captured and retained, it's worth aligning with your OpenMind contact on compliance and retention when you turn it on. For the bigger picture, see the [Autonomy Overview](/full-autonomy-guidelines/architecture_overview.md). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.openmind.com/full-autonomy-guidelines/features/face-detection-anonymization.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.