Hardware And Imaging Requirement

Smartphone Optical Sensor

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.