You will get Vehicle Count & Speed Estimation
Project details
This project involves vehicle tracking, counting and speed estimation using YOLOv8 for detection. The system detects vehicles in a video, assigns unique IDs and tracks them across frames. It calculates the speed based on the distance moved by vehicles in pixels per frame and converts it into kilometers per hour (km/h). Vehicles that cross a specific line in the frame are counted and their speed is displayed in real time on the video. The processed video includes bounding boxes around vehicles, speed annotations and the total vehicle count.
Technologies used in this project include Python, YOLOv8 for vehicle detection, OpenCV for video processing, NumPy for data manipulation and SciPy for calculating distances. The project can be customized for different video input sources and can handle various vehicle types like cars, trucks and motorcycles. The output video is saved with all the annotations and can be provided in the specified format and resolution. This solution is ideal for surveillance applications, traffic monitoring and any scenario where real-time vehicle analysis is required.
Technologies used in this project include Python, YOLOv8 for vehicle detection, OpenCV for video processing, NumPy for data manipulation and SciPy for calculating distances. The project can be customized for different video input sources and can handle various vehicle types like cars, trucks and motorcycles. The output video is saved with all the annotations and can be provided in the specified format and resolution. This solution is ideal for surveillance applications, traffic monitoring and any scenario where real-time vehicle analysis is required.
AI Development Type
Deep LearningAI Tools
OpenCVAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 5 days | 3 days | 1 day |
AI Model Integration | - | - | |
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - | - |
About Darshan
Senior Data Science & AI Expert | ML, DL, NLP | 5+ Years
Ahmedabad, India - 10:27 am local time
My technical expertise includes Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, OpenCV, NLTK, FastAPI, Streamlit, Power BI, Tableau, and Excel. I build scalable machine learning models, intelligent AI agents, LLM-powered applications, interactive dashboards, and production-ready solutions tailored to business needs.
I focus on delivering clean, scalable, and high-quality solutions with clear communication, reliable project management, and on-time delivery. Whether you need predictive analytics, custom AI applications, intelligent automation, or complete end-to-end data science solutions, I am committed to delivering results that create real business value.
Steps for completing your project
After purchasing the project, send requirements so Darshan can start the project.
Delivery time starts when Darshan receives requirements from you.
Darshan works on your project following the steps below.
Revisions may occur after the delivery date.
Client Provides Requirements
Client purchases the project and shares the video file, desired tracking area and output format preferences.
Setup and Configuration
I configure the YOLOv8 model and setup the environment to process the video.