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Non-destructive inspection is one of the important concerns to industry. There is the necessity of low-cost instrumentation for online rapid measurement and analysis of inner quality of fruit. This study is the development of a low-cost near IR inspection system based on flat field concave grating. This system is capable of quickly inspecting the sugar concentration of pears for fruit grade category. The proposed near IR inspection system was tested and the multivariate calibration technique, PLSR (partial least square regression) was introduced to analyze the reflected near IR spectra collected from the skin of pears. The results of experiments show the overall system performance and the ability of the prediction on sugar concentration of pears.