Vehicle detection and counting are turning out to be progressively significant in the field of Highway management. In any case, because of the various sizes of vehicles, their identification stays a test that straight forwardly influences the exactness of vehicle counts. To resolve this issue, we propose a vehicle detection system and counting framework. In the proposed vehicle detection and counting system we uses Yolov3 for vehicle detection and counting of vehicles from still images that can detect, classify and count numerous vehicles from CCTV footage. This system is implemented in Google Colab and any recorded video of Vehicles is used to test it. The execution time is 5 minutes, with 99% accuracy.

Vehicle detection and counting are turning out to be progressively significant in the field of Highway management.