> For the complete documentation index, see [llms.txt](https://docs.bitdoctor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bitdoctor.ai/our-ai-technology/hardware-and-imaging-requirement.md).

# Hardware And Imaging Requirement

<figure><img src="/files/2hKr5KTCwLXUXJqyfFBC" alt=""><figcaption><p>Smartphone Optical Sensor</p></figcaption></figure>

**Optical Sensors**: Smart phone front camera turning into optical sensors are the core hardware components used in the AI Imaging system. Built in AI sensors typically utilize techniques such as near-infrared (NIR) spectroscopy or diffuse optical imaging to capture light absorption and scattering properties of tissues beneath the skin. AI sensors implemented may include photodiodes, photodetectors, or other light-sensitive elements to convert a common smart phone camera in to this technology.

**Light Sources adjustment with AI**: BitDoctoc.ai systems require basic light sources to illuminate the skin's surface and enable optical measurements. Converting any light source at the surrounding to become NIR spectrum are used as light sources for BitDoctor AI’s applications. These sources provide the necessary wavelengths for deeper tissue penetration and accurate measurements of hemoglobin concentration and oxygenation levels.

**Imaging System**: BitDoctor AI’s setups incorporate imaging systems to capture and process optical signals from through a smart phone front camera. Imaging techniques such as spatial frequency domain imaging (SFDI) or time-resolved imaging is used to enhance the spatial and temporal resolution of the measurements. Imaging systems include cameras, lenses, filters and image processing algorithms to reconstruct tissue parameters from raw optical data.


---

# 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.bitdoctor.ai/our-ai-technology/hardware-and-imaging-requirement.md?ask=<question>&goal=<endgoal>
```

`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.