Real Time Vehicle Speed & Violation Tracking System With Yolo v11

🚗 **Real-Time Vehicle Speed Violation Tracking System** 🚗
In this video, I showcase my innovative real-time vehicle speed violation tracking system built using **Python**, **YOLO**, **PaddleOCR**, and **Django**. The system can:
- Detect vehicles and track their movements.
- Estimate the speed of each vehicle using advanced object detection techniques.
- Perform real-time OCR to extract vehicle number plates.
- Log speed violations directly to a Django backend for detailed analysis.

Source code🖇️https://apycoder.com/product/real-time-vehicle-speed-violation-tracking-with-yolo-v11-and-django/

### Features of the Dashboard:
📊 **Total Vehicles:** 4
📈 **Average Speed:** 9.0 km/h
🚨 **Speed Violations:** 1
🏎️ **Top 5 Fastest Vehicles:**
- Track ID: 2 - Speed: 11.0 km/h, No Plate: 0752GJR
- Track ID: 1 - Speed: 9.0 km/h, No Plate: 2835 BSY

🕒 **Vehicles by Time of Day:**
- Morning (6AM-12PM): 0 vehicles
- Afternoon (12PM-6PM): 4 vehicles
- Evening (6PM-12AM): 0 vehicles

📋 **Recent Records:**
- Track ID: 5 - Speed: 9.0 km/h, Time: 3:05 PM, No Plate: M44844C
- Track ID: 1 - Speed: 9.0 km/h, Time: 3:05 PM, No Plate: 2835 BSY

🎥 Watch this video to see the system in action, from real-time object detection to speed estimation and data logging. Perfect for smart traffic management and law enforcement applications!

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### Tools & Technologies:
🔧 **YOLO** for object detection
🔧 **PaddleOCR** for number plate recognition
🔧 **OpenCV** for video processing
🔧 **Django** for backend and data storage

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### Hashtags:
#VehicleDetection #SpeedViolation #YOLO #PaddleOCR #Django #PythonProjects #ComputerVision #SmartTraffic #AI #MachineLearning #DeepLearning #ObjectDetection #TrafficMonitoring #OCR

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Видео Real Time Vehicle Speed & Violation Tracking System With Yolo v11 канала ApyCoder