With the development of technologies, in our world where everything is now intelligent, with the development of image processing technologies, assistive systems in vehicles have become more intelligent and have the ability to make decisions as much as a driver. In this study, a driving support system software was designed by examining the road condition with image processing methods before the vehicle is in a corner, and the driver was previously warned against the risk of skidding. In the study, the situation of the bend was perceived by the image processing method and an algorithm design was made to alert the driver by evaluating the possible skidding risk according to the bend radius when the vehicle's current speed is entered into the bend. Experiments of the designed software have been carried out in the simulation environment. As a result of the simulation studies, the system has been shown to give an effective warning. These systems, which are used as driving support systems in upper segment vehicles and as support systems for autonomous vehicles, aim to reduce the time lost in traffic in addition to minimizing traffic accidents in the near future. The software developed as a result of the study has been made applicable in low segment passenger cars with the use of a low cost embedded system.