Camera-Based Parking Enforcement and Tracking System
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Solution Overview
Problem
Existing parking management systems require significant upfront capital investment for upgrades to achieve full automation, preventing many operators from upgrading and missing out on new revenue opportunities and efficiencies.
Innovation Solution
A fully automated and autonomous parking management system that integrates with existing payment systems using multiple cameras with overlapping fields of view to track vehicles, enforce speed limits, and monitor parking usage, leveraging commercial off-the-shelf technologies and remote image processing to reduce hardware and installation costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If legacy parking management systems are upgraded to full automation, then automation level and productivity are improved, but capital investment cost increases significantly
Solution Approach 1:
The system segments the parking management function into separate modules: camera-based detection, server-based processing, and existing payment system integration. This allows incremental implementation where cameras and processing are added separately from the core payment infrastructure, reducing the need for complete system replacement and lowering capital investment requirements while maintaining high automation capability.
Solution Approach 2:
The patent makes existing parking payment infrastructure universal by integrating it with camera-based detection systems. The same payment system handles both traditional payment processing and automated citation generation based on camera evidence, eliminating the need for separate automated enforcement systems and reducing overall capital investment while achieving full automation.
2Measurement precision
If multiple cameras with overlapping fields of view are deployed, then vehicle tracking accuracy and detection capability are improved, but device complexity and installation cost increase
Solution Approach 1:
The system merges the fields of view of multiple cameras through server-based image processing that correlates detections across overlapping regions. Instead of requiring complex coordinated control of each camera individually, the system combines their observations in software, achieving accurate vehicle tracking and identification while keeping individual camera units simple and reducing overall installation complexity.
Solution Approach 2:
The server acts as an intermediary between multiple cameras and the parking management system. It receives images from multiple cameras, processes them to identify and track vehicles, and generates citations or payment requests. This centralizes the complexity in software rather than requiring complex hardware coordination, making the system more scalable and easier to install while maintaining high tracking accuracy.
Data Source
AI summary
Tracking speeding violations and the use of at least one destination location are disclosed. Initially, two or more first images are received from a first camera, two or more second images are received from a second camera having a different field of view, and two or more third images are received from a third camera having a field of view overlapping with the field of the view of the second camera. Next, a speed of the first vehicle at a first time is determined. It is determined that the first vehicle exceeded a first predetermined speed limit at the first time. A unique identifier of the first vehicle and the speed of the first vehicle at the first time are then indicated. Next, it is determined that the second vehicle is stopped in the at least one destination location at a second time and that the second vehicle has left the at least one destination location at a third time that is after the second time. Finally, a unique identifier of the second vehicle, the second time, and the third time are indicated.