🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followe…

Detecting Cars in real time and identifying the speed of cars and tracking

detect the no of people every second entering building gate. #person-detection

Modified TensorFlow Object Detection Model for vehicle detection and tracking

A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.

Detecting Cars in real time and identifying the speed of cars and tracking

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)

Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.

Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.

detect objects from cctv camera

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

Traffic survey automator is a software that analyses traffic recordings using deep learning and statistical algorithms. It outputs the numbers of vehicles passing through the defined regions of interest.

Vehicle Detection Project