Mobile application for observation and analysis of karting tyres

Prvi koraki v svet kartinga so lahko zahtevni, saj je brez izkušenj težko vedeti, kaj nam stanje pnevmatik po vožnji pove o vožnji. Aplikacija pomaga pri učenju osnovnega prepoznavanja vzorcev, ki nastanejo na tekalni površini. Na začetku je pregled že obstoječih podobnih pripomočkov, sledi še predstavitev teoretičnega ozadja pnevmatike ter nekaterih vzorcev, ki se lahko pojavijo. Aplikacijo smo razvijali v programskem okolju Python, v PyCharmu. S pomočjo knjižnice kivy in OpenCV smo izdelali aplikacijo in analizirali fotografijo. Aplikacija je razdeljena na dva dela: prvi del omogoča prepoznavo količine oprijema na pnevmatiki, drugi del pa nam preko občutkov pomaga razbrati obnašanje gokarta in predlaga spremembe na vozilu. Preko spletne strani Google Colab smo izpisano datoteko pretvorili v format, primeren za instalacijo na mobilno napravo. Cilj naloge je izdelava mobilne aplikacije, ki bi prepoznala in pravilno predlagala rešitve za optimizacijo oprijema na gokartu.The first steps into the world of karting are quite challenging because without experience it is difficult to know what the conditions of the tyres after the run tell us about the driving. This application helps us learn the basic recognition of patterns formed on the tread surface. First, an overview of already existing similar accessories was carried out, followed by a presentation of the theoretical background of the tyre and some samples that may appear on the tread surface. The application was developed in the Python programming environment, using PyCharm. Using the kivy library and OpenCV, an application was created that analysed the photo. The application itself is divided in two parts: the first part can recognize the amount of traction the tyre provides, while the second one can understand the behaviour of the go-kart through driver\u27s sensations and then suggests changes to the vehicle. The Google Colab website made possible to convert the output file into a format suitable for installation on a mobile device. The goal is to create a mobile application that would recognize and correctly propose solutions to optimize traction on a go-kart