Abstract
Design and Implementation of an Automated Colony Counter Using Artificial Vision
Highlights
Our country suffers from a continuous problem regarding the hygienic quality of milk, since some producers do not carry out proper hygiene practices both during milking and during storage and distribution of it, which may lead to health issues upon human consumption
An automatic module for counting colony forming units (CFU) present in raw milk, and its analysed by an artificial vision algorithm was designed and implemented as the focus of this work
The procedure of verifying viable bacteria is called the viable number, for practical reasons this number is known as Colony Forming Units (CFU) [1]
Summary
Our country suffers from a continuous problem regarding the hygienic quality of milk, since some producers do not carry out proper hygiene practices both during milking and during storage and distribution of it, which may lead to health issues upon human consumption. The electronic and electrical components were located (arduino mega 2560 card, circuits, source, buttons, LCD). In the lower section a camera was placed, which made the capture of images, followed by a sensor and the tray levels where the sample was housed in its respective Petri dish (necessary to carry out the analysis) and if possible analyse the sample and arrive at a clear and effective result; a thermal resistance was fixed together with the lamp. For the acquisition of sensor temperature control data, the Arduino Mega2560 card was implemented, being a good option that allowed relatively easy programming, saving time in the prototype's development. Keeping the design details for the prototype, data visualization was developed through a LCD feedback, controlled by a pic16f877a microcontroller, whose function was to show the temperature changes given in the sensor.
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