Video-Based Parking Boundary Violation Detection System
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Solution Overview
Problem
Current methods for detecting parking boundary violations are costly and inefficient, as they rely on manual labor or high-maintenance sensor systems, and video-based technologies have not been effectively utilized for monitoring vehicle positions relative to parking space boundaries.
Innovation Solution
A video-based system that uses a camera to monitor parking spaces, processes video data to detect vehicles and determine if they are parked beyond designated boundaries, and reports violations to enforcement authorities, employing modules for boundary determination, vehicle detection, and classification to automate the enforcement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual labor is used for detecting parking boundary violations, then detection accuracy can be maintained, but labor costs and time consumption increase significantly
Solution Approach 1:
The patent replaces the manual mechanical inspection system with an automated video-based detection system. Video cameras capture images of parking spaces, and image processing algorithms automatically detect vehicle positions relative to parking boundaries, eliminating the need for manual labor while maintaining detection accuracy.
Solution Approach 2:
The system creates a digital copy of the parking area through video imaging. By processing these visual copies rather than physically inspecting each parking space, the system achieves rapid automated detection without sacrificing measurement precision.
2Productivity
If sensor-based methods are used to automate parking detection, then labor costs are reduced, but installation and maintenance costs increase
Solution Approach 1:
The patent employs standard video cameras and image processing software instead of expensive specialized sensors. These components are commercially available, easier to install and maintain, and can be replaced more readily if needed, reducing overall system complexity and operational costs.
Solution Approach 2:
The video-based system can serve multiple functions including detecting parking boundary violations, monitoring parking space occupancy, and capturing evidence for enforcement. This multi-functionality reduces the need for separate specialized sensor systems for each function.
3Productivity
If video-based technology is used for monitoring parking spaces, then labor costs are reduced and efficiency is improved, but the ability to accurately determine vehicle position relative to boundaries is insufficient
Solution Approach 1:
The patent replaces manual boundary measurement with automated image processing. By detecting edges and contours in video frames, the system automatically determines parking space boundaries and vehicle positions with high precision, eliminating the need for manual measurement while improving efficiency.
Solution Approach 2:
The system introduces image processing algorithms as an intermediary between the video capture and the violation detection decision. These algorithms process the visual data to accurately extract boundary information and vehicle position, bridging the gap between simple video monitoring and precise measurement requirements.
Data Source
AI summary
A method and a system for determining a parking boundary violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area including at least a single parking space. A boundary is determined for defining at least one parking space in the parking area. A vehicle is detected in the parking area. A determination is made whether the detected vehicle is violating a parking regulation based on a position and size of the vehicle within the boundary.