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

Vehicle Detection, Tracking and Counting

Real-time multi-camera multi-object tracker using YOLO varients

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Hobby project to track vehicles that are over speeding and violating red light

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

OpenCV implementation of lane and vehicle tracking

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Vehicle detection, tracking and counting by blob detection with OpenCV on c++.

OpenCV 3 & Keras implementation of vehicle tracking with video data.

Vehicle counting using Pytorch

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

bus timetable app react native

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

Realtime transit tracker of Pittsburgh's Port Authority buses using the realtime PAT API using Google Maps to Display the Maps

🚗 Pandora Car Alarm (and Telemetry) System / Автосигнализация и телеметрия Pandora (также поддерживается BENISH Guard)

Detect and track vehicles in video

The Vehicle Monitoring And Routing System (VMARS) makes use of GPS to provide the exact location of the vehicle. It allows a parent to monitor the vehicle in real-time using a GPS-based device possessed by its driver. It is also capable of finding the shortest route to reach the destination passing through all the checkpoints which uses our proposed algorithm to find the same. This system also possesses the facility of speed monitoring and giving sound alerts to the driver if he over speeds his vehicle. Also, the system gives accident alerts to the vehicle admin via SMS.

Automatic detection and tracking of moving vehicles in a video from a surveillance camera

Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.

Automate traffic counting with a Raspberry Pi and Computer Vision

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Created a Single page application in ReactJS which uses the provided data from mock API which display a live tracking of a vehicle in google map

Implementation of the Automatic Emergency Braking System using deep learning.

Vehicle MTMC Tracking

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

An intelligent traffic monitoring system that collects traffic flow and metrics including average speed and vehicle counts for each road. Features real-time data visualization with interactive dashboards and an integrated AI Agent chatbot for querying processed traffic data in real-time.

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