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According to World Health Organization, vaccines helps the body-s immune system to recognize and fight pathogens like viruses or bacteria, which then keeps us safe from the diseases. About 20 million worldwide do not have vaccination, thus putting them at risk of serious diseases. In 2018, Indonesia faced a problem of fake vaccines distribution that caused community worry. To contribute in solving these issues, we need a device which could detect fake vaccines and the condition of vaccines, i.e. whether it is still in good condition. One of the potential methods is by observing the spectrum properties of the vaccine. SCiO Spectrometer works in wavelength range between 740-1070 nm and the object-s wavelength characteristics will be detected by photodiode as the sensor. By scanning the samples with SCiO device, the results will be delivered to the smart phone by Bluetooth connection. We measured six varieties of real vaccine with two condition and four types of fake vaccine, each with its own characteristics. The results concern on the different value of the light absorbance on every sample condition. Vaccines with stale condition have a bigger point of absorbance rather than the good one, the number is variety from 0.2–0.5 absorbance level. While the fake vaccines resulting below than 0.2 point absorbance level. Moreover, the shape of the wavelength also showed different patterns between the two kinds of objects. Using the regression SPSS software package parameters, a new simple microcontroller-based near-infrared spectrometer will be developed.