Dental caries remains a significant global health concern, impacting millions worldwide and posing substantial risks to oral and overall health. Early detection of carious lesions is crucial for timely intervention and prevention of further damage. The main objective of this study was to explore the application of hyperspectral imaging (HSI) for the accurate detection of dental caries. Spectral data were collected from physical tooth samples using Specim IQ hyperspectral camera, with a total of 12 readings taken for analysis. Spectral signatures of healthy and carious tissues exhibited significant reflectance variations at a wavelength range of 400nm – 1000nm. Hyper-spectral unmixing was performed to generate abundance maps, enabling the visualization of the spatial distribution of decayed and healthy regions. The findings demonstrate that hyperspectral imaging can effectively distinguish between tissue types, offering a non-invasive and high-resolution tool for caries detection. The study highlights the importance of spectral analysis in improving diagnostic accuracy and suggests that HSI has the potential to revolutionize dental caries diagnosis. These results underscore the need for further research into integrating hyperspectral imaging into clinical workflows to enhance patient outcomes.