arunsinghbabal / Traffic-Security
The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.
☆14Updated 3 years ago
Alternatives and similar repositories for Traffic-Security:
Users that are interested in Traffic-Security are comparing it to the libraries listed below
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆38Updated 5 years ago
- Detect speed of vehicles on multi-lane highways.☆13Updated 4 years ago
- Building a small demo system to detect and count vehicle using Streamlit framework☆19Updated last year
- This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-dete…☆147Updated 4 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆29Updated 2 years ago
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆300Updated 2 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆89Updated 6 years ago
- A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2☆43Updated 2 years ago
- Vehicle counting using Pytorch☆95Updated last year
- An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with Yo…☆79Updated last year
- ☆66Updated 4 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 3 years ago
- Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detectio…☆10Updated 3 years ago
- This app detects types of cars and counts cars using YOLOv3☆18Updated 4 months ago
- Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.☆29Updated 3 years ago
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆163Updated 4 months ago
- Vehicle detection and tracking using deep learning and computer vision.☆11Updated 3 years ago
- A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorit…☆27Updated last year
- Detecting and Tracking the violating cars using yolov3 model and various image processing techniques.☆36Updated 5 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆86Updated 7 months ago
- ☆120Updated 4 years ago
- Vehicle Counting Using Yolov8 and DeepSORT☆84Updated last year
- Real-time PPE detection and tracking using YOLO v3 and deep_sort☆114Updated 7 months ago
- This project is demonstrating simple vehicle speed measurement estimation on toll road or highway☆19Updated 2 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆160Updated 2 years ago
- YOLOv5 with flask framework, in aims to counting vehicles in traffic☆47Updated 4 years ago
- Advanced ANPR is a system which detect and recognize all the number plates with different sizes, fonts and styles from the video, image o…☆7Updated 7 months ago
- xml file vehicle detection☆38Updated 2 years ago
- Automatic License/Number Plate Recognition using YOLOv3 and LeNet Architecture☆16Updated last year
- In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, a…☆95Updated 3 years ago