In this paper, we explain our Traffic Detection technique using OpenCV
concept, Neural Networks, Tensorflow, and how it is successfully
detecting and identifying vehicles and other roadside attributes such as
pedestrians, signs, and lane markings for a thorough analysis through a
road surveillance camera image. Our pre-trained SVM model is highly
efficient and accurate in performing the desired task successfully. The
paper should be of interest to readers in the areas of Image processing,
neural networks, and machine learning.