With the growth of machine learning everyday there are newly found applications where it can provide tangible benefits.This thesis proposes and explores the use of machine learning engines to process image and video in the market of highway tolling. And it also deals with the preparation of data to be able to get the best results possible from the engines. Currently the tolling industry in the United States uses transponders to collect the car’s information (license plate); this technology is slow to deploy and extremely expensive. The company where this stage was done worked on a system that relies on smaller devices installed on the highway that through a laser detects vehicles and takes pictures of the license plates.