Multi-Camera Vehicle Tracking System for Parking Navigation
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Solution Overview
Problem
Drivers face challenges in locating their parked vehicles in large parking areas, especially when GPS is unreliable due to underground locations or poor signal reception, leading to inefficient use of computing and networking resources.
Innovation Solution
A multi-camera vehicle tracking system that uses object detection and multiple object tracking models to associate vehicle identifiers with parking spot locations, allowing users to scan tickets and receive navigation paths to their vehicles, thereby conserving resources and improving location accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS is used to locate vehicles in parking areas, then location information can be obtained, but GPS signal reception is unreliable in underground locations or areas with poor signal transmission
Solution Approach 1:
The patent introduces video cameras and image processing algorithms as an intermediary system to replace GPS for vehicle location tracking. The system captures video frames from multiple cameras, extracts vehicle features, and determines parking locations through image recognition, thereby eliminating dependence on GPS signals in areas with poor reception.
Solution Approach 2:
The patent replaces the GPS satellite-based electromagnetic signal system with a local video surveillance system using cameras and computer vision algorithms. This substitution enables vehicle location tracking through visual detection and image processing rather than relying on satellite signals that fail in underground or shielded environments.
2Loss of information
If navigation applications are executed to save and retrieve GPS coordinates, then vehicle location can be stored, but computing resources and networking resources are consumed
Solution Approach 1:
The system performs preliminary vehicle tracking and location recording through video cameras at the moment of parking. The parking location is automatically captured and stored in the database before the driver leaves, eliminating the need for subsequent navigation applications to save or retrieve coordinates, thereby conserving computing and networking resources.
Solution Approach 2:
The video surveillance system automatically performs vehicle identification, tracking, and location recording without requiring driver intervention or execution of navigation applications. The system serves itself by autonomously capturing parking location data through image processing and storing it in the database, reducing resource consumption compared to manual GPS coordinate saving.
3Measurement precision
If multiple video cameras are deployed to track vehicles, then accurate parking spot identification is achieved, but device complexity increases
Solution Approach 1:
The patent divides the parking area into multiple surveillance zones covered by different video cameras. Each camera is responsible for a specific area, and the system processes video frames from individual cameras independently before integrating results. This segmentation reduces the computational complexity of analyzing full-scene video from all cameras simultaneously while maintaining accurate vehicle tracking.
Solution Approach 2:
The video camera system serves multiple functions: it captures vehicle entry, tracks vehicle movement, identifies parking locations, and provides security monitoring. By making the camera system multi-functional, the patent reduces the need for separate specialized devices, thereby managing complexity while achieving accurate parking spot identification through a unified system.
Data Source
AI summary
A device may receive a ticket identifier associated with a ticket, a vehicle identifier associated with a vehicle, and video data tracking the vehicle to a parking spot in a parking area. The device may process the video data, with models, to identify the parking spot and a parking spot location, and may associate the ticket identifier, the vehicle identifier, and the parking spot location. The device may receive a starting location of a user device associated with a user of the vehicle, and the ticket identifier based on the user scanning the ticket. The device may determine the parking spot location based on the ticket identifier, and may process the starting location and the parking spot location, with a path model, to calculate a navigation path from the starting location to the parking spot location. The device may provide the navigation path to the user device.