You will get a professional YOLOv8 Traffic Detection System with PyQt6 Dashboard.
Project details
Professional YOLOv8 Traffic Detection System with PyQt6 Dashboard
Get a production-ready TrafficX Pro system for urban traffic analysis. This solution combines the power of YOLOv8 with a sleek PyQt6 interface to provide real-time object detection and data visualization.
Core Features:
Triple Detection Mode: Supports static Images, recorded Videos, and Live Streams (Webcam/CCTV).
Real-time Analytics: Interactive LCD counters for Vehicles and Pedestrians plus a detailed classification table for 10 object types (Car, Bus, Truck, etc.).
High Performance: Native GPU/CUDA acceleration with automatic CPU fallback.
Adjustable Precision: Live Confidence Slider to fine-tune detection sensitivity on the fly.
Complete Package: Includes training scripts for the VisDrone dataset, pre-trained weights, and full English source code.
The codebase is 100% English-localized and optimized for "Plug & Play" deployment. Perfect for developers, researchers, or smart-city solution providers.
Get a production-ready TrafficX Pro system for urban traffic analysis. This solution combines the power of YOLOv8 with a sleek PyQt6 interface to provide real-time object detection and data visualization.
Core Features:
Triple Detection Mode: Supports static Images, recorded Videos, and Live Streams (Webcam/CCTV).
Real-time Analytics: Interactive LCD counters for Vehicles and Pedestrians plus a detailed classification table for 10 object types (Car, Bus, Truck, etc.).
High Performance: Native GPU/CUDA acceleration with automatic CPU fallback.
Adjustable Precision: Live Confidence Slider to fine-tune detection sensitivity on the fly.
Complete Package: Includes training scripts for the VisDrone dataset, pre-trained weights, and full English source code.
The codebase is 100% English-localized and optimized for "Plug & Play" deployment. Perfect for developers, researchers, or smart-city solution providers.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$129
|
Standard
$399
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 3 | 30 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Cheng
AI Engineer | Computer Vision & Streamlit Web Applications
Singapore, Singapore - 7:34 pm local time
Unlike developers who only deliver scripts, I provide ready-to-use business solutions. I have a proven track record of publishing professional AI software on international marketplaces (like Codester), covering everything from custom dataset curation to internationalized UI deployment.
What I can do for you:
Custom Object Detection: Training YOLOv8/v10 models for specific use cases (Agriculture, Retail, Medical, etc.).
Interactive Web Dashboards: Building professional AI interfaces with Streamlit for real-time inference and data visualization.
End-to-End Deployment: From raw image labeling to cloud-hosted production environments.
Legacy Code Optimization: Converting your local Python scripts into polished, user-friendly web apps.
Technical Stack:
Models: YOLOv8, YOLOv10,Resent,PyTorch, OpenCV and more
Frontend/Deployment: Streamlit, Streamlit Cloud, GitHub Actions.
Languages: Python (Advanced), SQL.
I am passionate about turning complex AI research into practical tools that solve real-world problems. Let’s discuss how I can bring your AI vision to life!
Steps for completing your project
After purchasing the project, send requirements so Cheng can start the project.
Delivery time starts when Cheng receives requirements from you.
Cheng works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Setup & Code Transfer
Deliver the complete source code package including the PyQt6 dashboard and YOLOv8 core modules. Assist in setting up the Python environment and CUDA acceleration on your local machine.
Model Configuration & Validation
Configure the pre-trained traffic models (YOLOv8s/m) and verify detection accuracy across image, video, and live stream modes within the dashboard interface.