Vehicle Recognition for Smart Parking

Project Overview:

Objective

The core objective of this project is to develop a robust vehicle recognition system for smart parking solutions. This system will facilitate efficient management of parking spaces, enhance security, and improve the overall parking experience for users.

Scope

This project encompasses the design, implementation, and deployment of a vehicle recognition system that can accurately identify and categorize vehicles entering and exiting parking facilities.

Sources

Surveillance Cameras: Collecting video footage from surveillance cameras placed at the entry and exit points of parking facilities.
License Plate Databases: Integrating with databases of registered vehicle license plates for verification purposes.

Data Collection Metrics

Total Data Points: Continuous video feeds from surveillance cameras.
License Plate Database Size: 100,000 registered license plates.

Annotation Process

Stages

Vehicle Detection: Employing computer vision techniques to detect vehicles within video frames.
License Plate Recognition: Extracting and recognizing license plate numbers from detected vehicles.
Vehicle Categorization: Categorizing vehicles based on type (e.g., car, truck, motorcycle).

Annotation Metrics

Detection Accuracy: Measured as the percentage of correctly detected vehicles.
License Plate Recognition Rate: Accuracy in recognizing license plate numbers.
Vehicle Categorization Accuracy: Ensuring accurate classification of vehicle types.

Quality Assurance

Human Verification: Engaging human operators to manually verify and correct any inaccuracies in vehicle and license plate recognition.
Continuous Testing: Regularly testing the system’s accuracy and reliability under various conditions, including different lighting and weather scenarios.
Feedback Loop: Providing a mechanism for users to report inaccuracies for continual improvement.

QA Metrics:

Human Verification Cases: 5% of total recognition instances reviewed.
Accuracy Improvement Rate: Measure improvements in recognition accuracy over time.

Conclusion

The Vehicle Recognition for Smart Parking project is set to revolutionize the parking industry by enabling efficient, secure, and user-friendly parking solutions. With accurate vehicle and license plate recognition, it enhances parking management, optimizes space allocation, and improves security. This technology not only streamlines the parking process but also sets the stage for innovative smart city initiatives and sustainable urban development.