Hybrid Wireless and Imagery Tracking Engine
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Solution Overview
Problem
Existing wireless tracking systems face challenges in providing reliable location estimates, especially in sparsely populated or poorly covered areas, leading to inadequate surveillance capabilities.
Innovation Solution
A method that combines location estimation of wireless terminals with aerial or satellite imagery to track objects of interest, using an image-based surveillance system to determine trajectories and guide wireless network resource utilization, even in areas with limited wireless coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If wireless terminal location estimation is used in sparsely populated areas, then tracking coverage is improved, but location estimation reliability deteriorates due to poor wireless coverage
Solution Approach 1:
The patent combines image-based surveillance data with wireless terminal location estimation to create a hybrid tracking system. The image-based system provides reliable location information in areas where wireless coverage is poor, while the wireless system provides continuous tracking in populated areas, thereby merging the strengths of both systems to achieve both wide coverage and high reliability.
Solution Approach 2:
The patent introduces image-based surveillance as an intermediary system that bridges the gap in wireless coverage areas. By using image processing to identify and track objects of interest in sparsely populated regions, the system mediates the reliability issue of wireless location estimation in these areas, allowing tracking to continue seamlessly across all geographic regions.
2Reliability
If image-based surveillance is used in sparsely populated areas, then tracking reliability is improved, but system complexity increases due to integration requirements
Solution Approach 1:
The patent creates a universal tracking system that can operate in both populated and sparsely populated areas using a single integrated architecture. The system automatically selects or switches between wireless terminal-based tracking and image-based tracking depending on the geographic region and coverage conditions, providing multi-functional capability that reduces the need for separate specialized systems.
Solution Approach 2:
The patent implements a dynamic tracking system that adapts its operation mode based on real-time conditions. The system dynamically switches between wireless terminal tracking and image-based tracking, and adjusts resource allocation based on the object's location and movement patterns, thereby managing system complexity through adaptive behavior rather than static complex architecture.
3Measurement precision
If wireless terminal tracking is used in populated areas, then tracking accuracy is improved, but resource utilization efficiency deteriorates due to continuous monitoring requirements
Solution Approach 1:
The patent applies partial action by using image-based surveillance selectively only in sparsely populated areas where wireless coverage is poor, rather than deploying it universally. This allows the system to maintain high wireless tracking accuracy in populated areas while conserving network resources, avoiding the excessive resource consumption that would result from continuous image-based monitoring in all regions.
Solution Approach 2:
The patent implements local quality by tailoring the tracking approach to the specific characteristics of different geographic regions. In populated areas with good wireless coverage, the system uses wireless terminal tracking for high accuracy. In sparsely populated areas, it transitions to image-based tracking. This localized adaptation optimizes both accuracy and resource efficiency for each region's specific conditions.
Data Source
AI summary
An improved method of tracking an object of interest. The tracking that is enabled by the disclosed tracking engine is based on location estimation of a wireless terminal combined with aerial or satellite imagery of an object of interest, in which a relationship has been determined to exist between the wireless terminal and the object of interest. In some tracking scenarios, a wireless telecommunications network can be used to direct an image-based surveillance system where to start observing, as an object of interest heads away from a heavily populated area or other area with satisfactory wireless coverage. In some other tracking scenarios, the trajectory of the object as derived from the image data enables the tracking engine to target a specific portion of the wireless network to utilize in generating the location estimates, thereby reducing the resource utilization of the wireless network and tracking engine.