Vehicle Tracking Device Human Misuse Detection
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Solution Overview
Problem
Current vehicle tracking devices lack the capability to differentiate between tracking humans and intended assets, leading to potential misuse.
Innovation Solution
A method and system that determines if a vehicle tracking device is being used to track humans by analyzing movement patterns, network connections, and GPS data, alerting authorities or owners when a threshold is exceeded, using a controller and non-transitory computer-readable storage medium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle tracking devices are used to monitor assets, then asset tracking capability is improved, but risk of misuse to track humans increases
Solution Approach 1:
The system performs preliminary detection of human presence and characteristics before the tracking function fully activates. By analyzing movement patterns, biometric data, and contextual information in advance, the system can identify potential misuse scenarios and prevent them by alerting authorities before harmful tracking occurs
Solution Approach 2:
The system continuously monitors tracking data and provides feedback by comparing detected patterns against human movement characteristics. When human presence is detected, the system generates alerts to authorities, creating a feedback loop that prevents misuse while maintaining legitimate asset tracking functionality
2Measurement precision
If tracking device detects and analyzes movement patterns to identify human tracking, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The detection system is divided into separate functional modules: movement pattern detection, biometric analysis, contextual evaluation, and alert generation. Each module handles a specific aspect of human identification, making the overall complex system manageable through functional segmentation and independent optimization of each component
Solution Approach 2:
The system introduces an intermediary analysis layer that processes raw tracking data before final human identification. This intermediary layer analyzes movement patterns and compares them against human characteristics, acting as a mediator between simple GPS tracking and complex biometric identification, thereby improving accuracy without requiring all components to be simultaneously active
Data Source
AI summary
Methods of detecting that a vehicle tracking device is tracking humans includes determining whether the vehicle tracking device has been removed from its linked vehicle; determining whether the vehicle tracking device is being used to track a human; and alerting when determined that the vehicle tracking device is tracking humans. Methods may determine if a weighted score is greater than a threshold and alerting: an owner of the vehicle tracking device; setting off an audio alert on the vehicle tracking device; or notifying authorities. Methods may detect human movement by detecting steep elevation changes; detecting acceleration data consistent human movement; or detecting movement that is not a road. Methods may determine if the vehicle tracking device is with a different vehicle or building by: detecting the different vehicle's hotspot; detecting the building's Wi-Fi; or detecting GPS movement that matches the different vehicle's GPS movement.