fenil29 / vehicle-speed-detection
Vehicle Speed Detection is a Python Script to track and detect the speed of a moving vehicle. This script can automatically detect the lane in the highway and split the output based on each lane and automatically capture the image of an overspeeding vehicle.
☆13Updated 4 years ago
Alternatives and similar repositories for vehicle-speed-detection:
Users that are interested in vehicle-speed-detection are comparing it to the libraries listed below
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆39Updated 5 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆92Updated 6 years ago
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆164Updated 6 months ago
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆307Updated 2 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆64Updated 4 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 2 years ago
- deepsort + yolov3 + velocity-tracker☆20Updated 4 years ago
- Implementation for paper: "Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement"☆32Updated last year
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆165Updated 2 years ago
- ☆67Updated 4 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 6 years ago
- Detecting people using yolov5 model and the people were classified as High, Moderate and Normal based on their distance from one another.☆19Updated 4 years ago
- YOLOv5 with flask framework, in aims to counting vehicles in traffic☆48Updated 4 years ago
- Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a vide…☆19Updated 3 years ago
- Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep …☆27Updated 7 years ago
- Vehicle detection and speed measurement system☆58Updated last year
- Modified TensorFlow Object Detection Model for vehicle detection and tracking☆27Updated 6 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆87Updated 9 months ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆13Updated 5 years ago
- 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…☆101Updated 3 years ago
- Graduation Project. Vehicle speed estimation using computer vision and evolutionary-based camera calibration☆38Updated 2 years ago
- The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of…☆60Updated 5 years ago
- ✅yolov5-obj-distance-measure.You can change code in yolov5.☆21Updated 3 years ago
- Vehicle-Detection and Tracking Using YOLO and Deep Sort with Tensorflow☆34Updated 5 years ago
- ☆12Updated 4 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
- Classifying people as high risk and low risk based on their distance to other people.☆111Updated 10 months ago
- Detect speed of vehicles on multi-lane highways.☆13Updated 4 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 4 years ago
- Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)☆67Updated 4 years ago