Hyperspectral Imaging Smartphone

Hyperspectral imaging is used in fake currency detection, quantification of carbon dioxide concentrations in air, food safety, cancer screening, and many other applications. Hyperspectral imaging techniques require complex optical systems, making devices expensive and nonportable and restricting the impact hyperspectral imaging can have on society. The system designed trades optical system complexity for postprocessing requirements, enabling a compact assembly that, at quantity, can be produced for less than $10. The phone attachment minimizes the number of optical elements necessary for hyperspectral imaging while maintaining very wide tolerances, fully compensating for poor user alignment. The phone app provides a user interface and controls calibration,data capture, and processing. Once calibrated, the system captures raw data from a real-world situation, processes the raw data into hyperspectral image data, and uses the hyperspectral image data to make an informed decision about the real-world situation through machine learning.