> For the complete documentation index, see [llms.txt](https://docs.getdor.com/dtm-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.getdor.com/dtm-docs/hardware/overview/technology.md). # Technology ## Overview The sensor uses thermal-sensor fusion in order to classify the foot traffic in your location. This thermal-imaging technology is paired with machine-learning algorithms that optimize the sensor for retail conditions.

Raw thermal data captured from the sensor with detected human in yellow

We train our algorithms in a vast array of different operating conditions so that accuracy is consistent across your deployments. Classification of the number of people, direction of travel, and ignoring other items like shopping carts is all done on the sensor in real time. {% embed url="" %} --- # 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: ``` GET https://docs.getdor.com/dtm-docs/hardware/overview/technology.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.