2019 : Design of fuel detection system in transparent pipe using image processing method based on Raspberry-Pi

Ir. Apriani Kusumawardhani M.Sc


Abstract

Delivering process of liquid fuels from refinery units into storage plants is no longer using transportation (trains or trucks) because it is so costly. So pipes are used for this delivering process. Densitometer is used to determine the time when valve close or open manually for guiding each fuel to each storage tank. Density parameter is not suitable to be the main parameter because the densities of each oil are almost the same. Therefore it needs to design an innovation of Raspberry-Pi's liquid fuel detection system to improve detection accuracy. in this research, fuel color data acquisition process on a transparent pipe on HSV color space (hue, saturation, value) are done by webcam then data processed by Raspberry - Pi to define the fuel type. Script programming has written in Python 2.7 and image processing is done with OpenCV library. Optimal intensity lighting at 25 lux and minimum at 8 lux. Each fuel and …