rishabh-sachdeva / haarcascadesbaseddynamictrafficschedulingsystem Goto Github PK

System detects vehicle density at traffic junctions and allots the required time to traffic lights for vehicle passage dynamically. Classifier is trained using positive and negative images. Further, Adaptive Boosting is used to combine a number of weak classifiers into a strong one. The outcome of AdaBoost is Trained Cascade, which is finally used to detect vehicles in the images clicked.The system uses webcam to detect vehicles, count them and allow traffic passage according to traffic density of each lanes.