Camera-Based Parking Recognition for Reservation and Navigation
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Solution Overview
Problem
Existing parking systems are inefficient, time-consuming, and inaccurate, often requiring manual input and expensive hardware, and do not provide real-time availability or payment options for parking spaces.
Innovation Solution
An image-based parking recognition and navigation system using machine learning to identify available parking spaces through image data from various sources, allowing for autonomous reservation and navigation to secured parking spaces via wireless devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional booking systems with manual input and physical tickets are used, then payment verification can be performed, but the system becomes slow, inaccurate, and requires expensive hardware
Solution Approach 1:
The patent replaces mechanical systems (physical tickets, manual verification, expensive sensors) with an image-based computer vision system using cameras and machine learning algorithms to detect parking space availability, eliminating the need for complex hardware infrastructure
Solution Approach 2:
The system creates visual copies (images) of parking spaces and processes them through machine learning models to determine availability, replacing the need for physical presence of sensors or manual verification while maintaining high accuracy
2Reliability
If on-demand parking systems with sensors in parking spaces are used, then real-time availability data can be obtained, but the system becomes expensive and data reliability remains problematic
Solution Approach 1:
The patent makes the imaging system universal by using standard cameras that can capture multiple types of information (parking availability, license plates, traffic conditions) from a single infrastructure, replacing specialized expensive sensors with multi-functional imaging devices
Solution Approach 2:
The system enables self-service detection where the image processing system automatically identifies and verifies parking space status without requiring manual intervention or complex sensor networks, improving reliability through automated consistent detection
3Productivity
If drivers search for parking manually in densely populated environments, then no additional hardware is needed, but significant time is wasted and traffic congestion increases
Solution Approach 1:
The patent performs preliminary detection and identification of available parking spaces using image data before drivers arrive, allowing the system to pre-process and prepare parking availability information, thereby eliminating the need for drivers to manually search and reducing time loss
Data Source
AI summary
Image-based parking recognition and navigation systems and methods are disclosed. An example method includes: obtaining camera data collected by the plurality of cameras, the image data identifying one or more parking locations; analyzing the camera data in accordance with one or more machine learning techniques to identify a plurality of candidate parking location, obtaining, from a smart phone app executed on a mobile user device, a user request to reserve a candidate parking location in the plurality of candidate parking location; determining a location of the candidate parking location based on location data associated with a first camera; identifying a booking method to reserve the candidate parking location based on the location of the candidate parking location; and responsive to obtaining the user request, enabling a user issuing the user request to reserve the candidate parking location through smart phone app executed on the mobile user device.