Image-Based Parking Recognition for Real-Time Space Reservation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing parking systems are inefficient, inaccurate, and require manual input, leading to wasted time and resources in finding parking spaces, especially in densely populated areas.
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 these spaces with minimal user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional booking systems with manual verification are used, then payment can be processed, but the system requires expensive hardware, physical paper tickets, and manual user input, reducing efficiency and increasing time consumption
Solution Approach 1:
The patent replaces mechanical verification systems (physical paper tickets, manual hardware sensors) with an optical/image-based detection system using machine learning algorithms to automatically identify and verify parking space occupancy and vehicle characteristics, eliminating the need for expensive physical hardware and manual operations
Solution Approach 2:
The system creates a digital copy of the parking space and vehicle information through image capture and machine learning analysis, replacing physical paper tickets and manual records with automated digital verification that can be processed without user intervention
2Reliability
If users manually search for and verify parking availability, then parking spaces can be found, but significant time is wasted searching and navigating to parking locations
Solution Approach 1:
The system performs preliminary detection and verification of parking space availability and vehicle matching before the user arrives at the parking location, allowing users to navigate directly to confirmed available spaces rather than searching upon arrival
Solution Approach 2:
The machine learning system continuously monitors and updates parking space status through image analysis, providing real-time feedback on availability and automatically notifying users when their reserved space becomes available, eliminating manual checking
3Adaptability or versatility
If parking spaces are reserved in advance, then users have guaranteed parking, but the system requires reliable data about inventory availability which traditional systems cannot provide accurately
Solution Approach 1:
The patent replaces unreliable manual or sensor-based inventory tracking with automated image-based detection using machine learning, which continuously monitors parking space occupancy and provides accurate real-time inventory data for reliable reservations
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.