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A Distributed Wireless Camera System for the Management of Parking Spaces
Stanislav Vítek1, Petr Melničuk2
1Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic. viteks@fel.cvut.cz.
Sensors (Basel, Switzerland)
|December 29, 2017
Summary
This study introduces a wireless camera system for smart parking, accurately detecting parking space availability using Raspberry Pi Zero modules and a Histogram of Oriented Gradients (HOG) with Support Vector Machine (SVM) algorithm.
Area of Science:
- Computer Vision
- Machine Learning
- Internet of Things
Background:
- Growing need for efficient parking management in urban areas.
- Limitations of existing parking detection systems.
Purpose of the Study:
- Design a distributed wireless camera system for real-time parking space occupancy detection.
- Improve accuracy and efficiency of parking management systems.
Main Methods:
- Utilized Raspberry Pi Zero modules for camera systems.
- Implemented a computationally efficient algorithm using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).
- Incorporated vehicle orientation as an additional feature for enhanced accuracy.
Main Results:
- Achieved over 90% accuracy in occupancy detection across various conditions.
- System processes 10 parking spaces per second.
- Validated reliability with over 700,000 test samples.
Conclusions:
- The developed system offers a reliable and accurate solution for smart parking.
- The integration of vehicle orientation significantly improves detection performance.
- This technology is scalable for large-scale urban parking management.
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