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Learn to develop a comprehensive parking lot management system in this 29-minute tutorial that combines computer vision and automation technologies. Master the implementation of license plate detection using YOLOv8, vehicle tracking with ByteTrack, and automated notifications through a Telegram bot. Explore practical techniques for setting up Roboflow Workflows, integrating OpenAI's OCR capabilities for license plate reading, and creating line zones for vehicle counting. Gain hands-on experience with real-time monitoring systems while addressing common challenges and their solutions. Access essential resources including the Roboflow platform, inference and supervision GitHub repositories, and pre-trained detection models for immediate implementation. Perfect for developers interested in building smart infrastructure solutions using computer vision and automation tools.
Syllabus
- Introduction: Building a Smart Parking System
- Setting up Roboflow Workflows
- License Plate Detection with YOLOv8
- Reading License Plates with OpenAI OCR
- Object Tracking with ByteTrack
- Counting Cars with Line Zones
- Sending Real-Time Notifications Telegram Bot
- Challenges and Solutions
- Conclusion and Next Steps
Taught by
Roboflow