Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. This disease is the third killer disease aftercardiovascular diseases and respiratory diseases, and is also he number one killer disease in a group of infectious diseases. ThisÂ is partly due to the late handling and a non real time detection, both of which will inhibit the therapy which yields a large numberof microorganisms in the body, and will eventually complicate the recovery. Based on this phenomenon, we offered an alternativesolution for detecting the sum of microorganism using Tuberculosis Counter, a tool used to count the number of Tuberculosis bacteriaÂ in the patients sputum. Technically, the patients sputum preparat was screened using the TCS230 color sensor that was able to filterÂ the color of the preparat. Tuberculosis bacteria in the stained sputum Ziehl-Niellsen preparat was colored red, while the other wasÂ colored blue. By utilizing these optical phenomena, the TCS230 color sensor was supposed to filter the red color in the preparat. ByÂ using regression equation measurement, we gained the equation which then correlated the bit value as an output of the sensor with theÂ number of Tuberculosis bacteria. Then, the digitalization process yielded the real time and accurate data of Tuberculosis bacteria.
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