Assessment Of Raspberry Pi As A Portable Traffic Monitoring Device

The grow of commerce is inevitable along with this is the growth in the number of vehicles around in a particulararea. Traffic monitoring plays a vital part in keeping transportationin check. A lot Of money can and was lost due to traffic that has been proven by data. It is important to have a and effective and efficient system to have to gather data for the particulatrrafficin specific area. This study aims to assess the Raspberry m iys il portable traffic monitoring device; to help attain a much more shorter time is gather traffic count data. The Study is implemented on a Raspberry Pi to asses its capability to become a portable traffic monitoring device. It is implement in this three major phases; vehicle detection, vehicle classification, and data logging. Vehicle detection is achieved using background subtraction. The identified blob is then classified to three different category, small for two-wheeled vehicles, medium for three-wheeled, and large for that of four and more wheels. The data gathered is then stored to a cvs file. The raspberrypi failed to process the live feed from the webcam due to its limited processing power. The algorithm that was created for this study can be used with a much more capablecomputer to achieve a much desirable accuracy for automated traffic monitorings.