How to Learn Car Speed & Parking Detection Free
Download and learn premium car speed and parking spot detection system free using OpenCV, PyTorch, and CNN with real-time projects
Detecting Car Speed & Empty Parking Spot Overview:
This premium video course is completely free and guides you through building real-time car speed detection and empty parking spot systems using OpenCV, PyTorch, Keras, CNN, and SSD. You will explore the practical side of computer vision in traffic management. The course walks you through data collection, model training, image processing, and motion detection. It also explains how to perform vehicle detection, calculate speed, and automate speeding ticket generation with real-time response.
By following this course, you will learn how to build two powerful systems: one to detect vehicle speed and another to identify empty parking spaces. These systems use real-world datasets and demonstrate how to analyze, process, and implement detection logic with Python frameworks. The hands-on projects included will enhance your coding, debugging, and performance evaluation skills, all of which play crucial roles in traffic automation and smart city innovations.
Master advanced computer vision projects with real-time traffic applications for free.
What You’ll Learn in Detecting Car Speed & Empty Parking Spot:
- Build a car speed detection system using OpenCV and PyTorch
- Train a parking spot detection system using CNN and Keras
- Play, analyze, and process video feeds using OpenCV
- Extract parking coordinates and count empty spots
- Estimate vehicle trajectory and calculate speed in real time
- Set speed limits and trigger speeding notifications
- Automate speeding ticket generation
- Apply object detection for occupancy classification
- Perform accuracy and performance testing on detection systems
Course Highlights:
- Real-World Use Case: Create car speed and parking detection systems
- Advanced Frameworks: Use PyTorch, CNN, Keras, and OpenCV
- Video Analysis: Learn frame rate calculation, motion detection
- Project-Based Learning: Hands-on implementation with real datasets
- Smart Traffic Management: Integrate AI into urban solutions
Detecting Car Speed & Parking Spot Info:
Christ Raharja created this 2024 course on Udemy to help you build two AI systems from scratch. Using OpenCV, CNN, and PyTorch, you will construct a vehicle speed detector and a smart parking assistant that identifies unoccupied spots. The course also explains how to use datasets, analyze vehicle motion, check speed limits, and generate alerts. With this free download, you can master the tools to solve traffic congestion and improve road safety using AI.
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