Commonly, the total carotenoids content in fruit is measured using spectrophotometric analysis based on color absorption levels. In this paper, a bananas carotenoids profile map system was introduced using Hyperspectral imaging technique combining spectral and spatial analysis. The profile map provided the distribution of total carotenoids on the surface of the banana. The systems consist of the measurement system and the set of a mathematical model which transforms each pixel of spatial to a value representing the number of the carotenoids in banana. The measurement system composed a workbench, halogen light source, and hyperspectral camera that connected to PC using Camera Link interfaces. The partial least square regression was used to compute transformation model between the reflectance and the total carotenoids value. The ground truth value of carotenoids content was calculated on banana peel using Sims-Gamon methods. The proposed system was evaluated using 30 samples of Ambon bananas (Musa paradisiaca) which consist of 10 samples for each maturity level. In the full wavelength range, the PLSR model provided the root mean square error of 0.7934 % and the correlation coefficient R
of 0.94 in predicting the total carotenoids content in banana. Finally, the proposed system could be used in analyzing the distribution of the carotene in banana.