Project-File / Vehicle-Identification-Speed-DetectionLinks
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using F…
☆20Updated 4 years ago
Alternatives and similar repositories for Vehicle-Identification-Speed-Detection
Users that are interested in Vehicle-Identification-Speed-Detection are comparing it to the libraries listed below
Sorting:
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆166Updated 2 years ago
- A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorit…☆28Updated 2 years ago
- Vehicle Counting Using Yolov8 and DeepSORT☆97Updated last year
- Running YOLOv5 through web browser using Flask microframework☆82Updated 4 years ago
- Classifying people as high risk and low risk based on their distance to other people.☆110Updated last year
- Detect and track vehicles on a video stream and count those going through a defined line.☆99Updated 6 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…☆103Updated 4 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆39Updated 6 years ago
- YOLOv5 with flask framework, in aims to counting vehicles in traffic☆48Updated 4 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆87Updated last year
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆315Updated 2 years ago
- Real-time Speed violation detection using Yolo and Deep-Sort☆42Updated 3 years ago
- Real-Time Object Detection, Tracking, Blurring and Counting using YOLOv8☆48Updated 2 years ago
- Data Augmentation for Object Detection with Python and OpenCV☆24Updated 4 years ago
- Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Sc…☆122Updated 2 years ago
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆164Updated 10 months ago
- Detect speed of vehicles on multi-lane highways.☆13Updated 4 years ago
- Real-time PPE detection and tracking using YOLO v3 and deep_sort☆122Updated last year
- Detect free parking lot available for cars☆84Updated 4 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
- ☆62Updated 3 years ago
- 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…☆82Updated last month
- A Vision-based Social Distancing and Critical Density Detection System for COVID-19☆54Updated 4 years ago
- ☆43Updated 2 years ago
- ☆67Updated 5 years ago
- This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-dete…☆155Updated 5 years ago
- Tracking and Counting with Yolov5, BoT-SORT, Bytetrack, OC-SORT,...☆8Updated 2 years ago
- A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2☆43Updated 3 years ago
- This project is demonstrating simple vehicle speed measurement estimation on toll road or highway☆19Updated 2 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 3 years ago