Intelligent Camera Network for Parking Lot Vehicle Tracking
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Solution Overview
Problem
Existing parking management systems in large lots require numerous sensors and cameras, leading to high maintenance costs and inability to provide accurate vehicle position information without extensive infrastructure, as they struggle to recognize license plates and track vehicle positions efficiently.
Innovation Solution
A method utilizing intelligent network cameras that recognize vehicle positions and license plates, employing image recognition, dynamic saliency maps, and Kalman filters to manage and share vehicle information across overlapping visual fields, reducing the need for extensive camera installation and maintaining accurate parking data with a smaller number of cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of sensors and cameras are installed on each parking spot to accurately detect vehicle positions and license plates, then measurement precision and reliability improve, but device complexity and maintenance costs increase
Solution Approach 1:
The patent combines multiple functions (vehicle detection, license plate recognition, position tracking) into a single intelligent camera system. The server integrates data from multiple cameras to achieve accurate vehicle position detection without requiring a sensor on every parking spot, thus reducing overall system complexity while maintaining measurement precision.
Solution Approach 2:
The intelligent cameras perform multiple functions: detecting vehicle presence, recognizing license plates, and determining vehicle positions. This multi-functionality reduces the need for separate specialized devices at each parking spot, lowering device complexity while maintaining comprehensive monitoring capability.
2Device complexity
If image information only is used to calculate the number of vehicles, then device complexity decreases, but loss of information increases due to inability to recognize license plate numbers and provide position information
Solution Approach 1:
The system merges simple image-based vehicle counting with advanced license plate recognition algorithms in a unified server-based processing system. This allows the use of fewer cameras while maintaining both vehicle count accuracy and license plate recognition capability, thus reducing device complexity without causing information loss.
3Measurement precision
If a camera is installed at every parking spot to recognize vehicle information, then measurement precision improves, but device complexity and maintenance costs increase
Solution Approach 1:
The patent merges the capabilities of multiple cameras with a centralized server that uses image processing and recognition algorithms to achieve accurate vehicle information detection. This approach allows using fewer cameras strategically positioned rather than installing a camera at every parking spot, reducing device complexity while maintaining measurement precision through intelligent image analysis.
Data Source
AI summary
A parking lot management system that works in cooperation with intelligent cameras is disclosed. The system includes a plurality of intelligent cameras connected to each other via a wired/wireless mesh network, a license plate recognition unit which can recognize a license plate of a vehicle entering and exiting a parking lot, a server for storing and managing information about the vehicle, a parking information board and a vehicle information about the position terminal which provide a user with parking information, and a personal computer for controlling all information.