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🚗 *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-tim... 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! --- Tools & Technologies: 🔧 *YOLO* for object detection 🔧 *PaddleOCR* for number plate recognition 🔧 *OpenCV* for video processing 🔧 *Django* for backend and data storage --- 👀 *Interested in similar projects?* Don’t forget to like, subscribe, and leave a comment below! Let me know if you’d like a detailed breakdown or tutorial in the future. --- Social Media: 🌐 Website: [Your Website] 📧 Email: [Your Email] 📱 Follow me on Instagram/Twitter: [Your Social Handles] --- Hashtags: #VehicleDetection #SpeedViolation #YOLO #PaddleOCR #Django #PythonProjects #ComputerVision #SmartTraffic #AI #MachineLearning #DeepLearning #ObjectDetection #TrafficMonitoring #OCR 🌟 Connect with me on Social Media! 🌟 🔗 Ko-fi : https://ko-fi.com/apycoder 🔗 Facebook: / @apycoder 🔗 Instagram: / @apycoder_ 🔗 Pinterset: https://pinterset.com/apycoder 🔗 Quora: https://qr.ae/psbJMK Don't forget to follow me for updates and behind-the-scenes content!