Computer Vision System to Aid Drivers of Vehicles through Vertical Signaling Traffic

The constant increase in the number of vehicle, especially in large urban centers, a growing number of accidents caused by the invasion of neighboring groups of drivers, either by inattention, drowsiness, among others. To mitigate the impact of this problem, this paper proposes the Aid System the Driver Vehicle (ASDV), which is based on a system uses computer vision techniques and Digital Image Processing to detect the tracks of markings and through these identify the behavior that the car driver must have to continue in its tracks of movement on the road. Tests are performed on Unix platform and the Android operating system, obtaining the speed 50 fps and 20 fps, respectively. The tests show satisfactory results, achieving 100% accuracy when the tracks are detected. Therefore, we can conclude that the system is promising and shows potential to be used in real applications.