Video-Based Double Parking Detection System
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Solution Overview
Problem
Current manual enforcement of double parking regulations is costly and inefficient, as it often fails to detect voluntary double parking violations in exclusion zones, leading to lost revenue and disruptions in traffic flow.
Innovation Solution
A video-based system and method that uses image capture devices to monitor parking regions, detect stationary vehicles, and classify them as double-parked or not by analyzing video data, considering factors like hazard lights, traffic patterns, and occupancy, to automate the enforcement of double parking violations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual enforcement by police officers is used, then double parking violations can be detected, but labor costs are high and enforcement efficiency is low
Solution Approach 1:
The patent replaces the manual mechanical enforcement system (police officers physically monitoring and detecting violations) with an automated video-based detection system using image capture devices, background subtraction algorithms, and computer vision processing to automatically identify double-parked vehicles in exclusion zones
Solution Approach 2:
The system enables self-service enforcement where the automated video analysis system independently detects, classifies, and identifies double parking violations without human intervention, with the algorithm automatically processing video frames to detect stationary vehicles and determine violations based on predefined criteria
2Device complexity
If simple stationary vehicle detection is used, then detection process is simple, but accuracy is low due to false positives from non-voluntary stationary vehicles
Solution Approach 1:
The patent segments the detection process into multiple distinct stages: initial vehicle detection through background subtraction, stationary vehicle identification, event occurrence analysis (checking for hazard lights, traffic patterns), and final violation classification. This multi-stage segmentation allows each stage to focus on specific aspects, improving overall accuracy while maintaining systematic complexity management
Solution Approach 2:
The system dynamically adjusts the detection process by analyzing multiple factors beyond simple stationarity, including hazard light detection, traffic flow patterns, and temporal duration of stationary state. The classification decision is dynamically made based on the combination of these varying factors rather than a single static criterion
3Productivity
If automated video-based detection is implemented, then labor costs are reduced and enforcement efficiency improves, but system complexity increases
Solution Approach 1:
The video-based enforcement system is designed as a multi-functional platform that can detect various types of parking violations (exclusion zone infractions, double parking), process video data, perform background subtraction, detect hazard lights, analyze traffic patterns, and generate violation reports, all within a single integrated system that handles multiple enforcement scenarios
Data Source
AI summary
A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.