Parking Camera System Human Review Automation
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Solution Overview
Problem
Existing parking management systems require substantial upfront capital investment for upgrades to full automation, preventing many operators from implementing modern, efficient solutions for managing and enforcing parking space usage.
Innovation Solution
A fully automated and autonomous parking management system that integrates with existing infrastructure using cameras to track vehicle usage, identify vehicles, and enforce parking regulations, reducing the need for extensive sensor installations and leveraging commercial off-the-shelf technologies for cost-effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If full automation is implemented using traditional parking management systems, then automation level is improved, but capital investment cost increases substantially
Solution Approach 1:
The camera system performs multiple functions: vehicle identification, parking space monitoring, and usage tracking. By making the camera system universal and multi-functional, the system achieves full automation without requiring separate specialized sensors for each function, thereby reducing overall capital investment while maintaining high automation levels
Solution Approach 2:
The system uses image capture and processing to create digital representations of parking spaces and vehicles. By copying visual information through cameras and processing it through image recognition algorithms, the system replaces expensive physical sensors with more cost-effective imaging technology, achieving automation at lower cost
2Measurement precision
If proximity sensors are used to identify vehicle presence, then vehicle detection accuracy is improved, but installation cost increases due to larger number of sensors required
Solution Approach 1:
The system transitions from using multiple point-based proximity sensors distributed throughout the parking area to using overhead cameras that capture two-dimensional or three-dimensional views of entire parking spaces. This dimensional change allows a single camera to monitor multiple spaces simultaneously, reducing the total number of sensors while maintaining detection accuracy through image analysis
Solution Approach 2:
The system merges the functions of multiple proximity sensors into a single camera system. By combining vehicle detection, presence identification, and space monitoring into one imaging device, the system reduces the quantity of individual sensors needed while achieving comparable or superior detection capabilities through advanced image processing
Data Source
AI summary
Providing human review of an image stream for a parking camera system is disclosed. Initially, a first image stream is received from a first camera having a first field of view showing a first vehicle or at least one destination location. Next, it is determined that a value for the at least one type of information relating to the at least one destination location or the first vehicle has failed to be automatically detected. In response, an exemption event is generated. Presentation of the at least part of the first image stream to a human operator is then enabled. Finally, the value for the at least one type of information relating to the at least one destination location or the first vehicle is received from the human operator.