Vehicle Proximity Tracking via Wireless Signal Classification
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Solution Overview
Problem
Current security monitoring systems for vehicles, especially in parking lots or slow-moving conditions, are inadequate for detecting and responding to potential threats from individuals lurking nearby, as they often lack comprehensive and reliable technical architectures for real-time monitoring and response.
Innovation Solution
A vehicle-based system that receives wireless signals from mobile devices, classifies their movement patterns, and actuates components such as cameras, transmitters, or lights based on proximity and movement classification, estimating risk levels and alerting users or authorities when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing monitoring devices such as cameras are deployed, then security monitoring capability is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The patent replaces physical camera systems with wireless signal-based detection. The vehicle computer receives wireless signals from mobile devices and determines proximity and movement patterns without requiring physical cameras or sensors to be installed in the environment, thereby reducing device complexity while maintaining security monitoring capability
Solution Approach 2:
The patent introduces wireless signals as an intermediary between the mobile device and the vehicle computer. Instead of direct visual monitoring requiring cameras, the system uses wireless signal transmission and reception as a mediator to detect presence and classify movement patterns, simplifying the overall system architecture
2Area of stationary object
If cameras or sensors are installed in all locations, then monitoring coverage is improved, but cost and device complexity increase
Solution Approach 1:
The vehicle computer performs multiple functions: receiving wireless signals, determining presence, classifying movement patterns, and actuating vehicle components. This multi-functional approach eliminates the need for separate monitoring devices in each location, achieving comprehensive coverage through a single intelligent system
Solution Approach 2:
The system replaces the need for physical sensors or cameras in multiple locations with wireless signal-based detection. The vehicle computer can detect and classify mobile devices in various positions around the vehicle through signal analysis alone, providing broad monitoring coverage without deploying physical sensing infrastructure
3Reliability
If real-time monitoring and response capabilities are implemented, then security response effectiveness is improved, but processing requirements and system complexity increase
Solution Approach 1:
The system classifies movement patterns in real-time and pre-determines appropriate responses. By continuously monitoring and categorizing mobile device behavior (approaching, stationary, moving away, circling), the system prepares appropriate vehicle component activations in advance, enabling immediate response when threats are detected without complex real-time decision-making delays
Solution Approach 2:
The system implements continuous feedback loops where the vehicle computer receives wireless signals, determines presence, classifies movement patterns, and actuates vehicle components based on the classification. This closed-loop feedback mechanism enables real-time monitoring and response while maintaining manageable system complexity through standardized response protocols
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances vehicle security by providing real-time monitoring and response capabilities, enabling effective detection and deterrence of potential threats through accurate classification of mobile device movements and risk assessment.
Implementation Method 1
receiving, via a vehicle wireless receiver, a wireless signal from a mobile device
Data Source
AI summary
A computer is programmed to receive, via a vehicle wireless receiver, a wireless signal from a mobile device, and determine a presence of the mobile device within a distance of the vehicle. The computer is programmed to classify a movement of the mobile device based at least on the determined device presence, and actuate a vehicle component based on the determined device presence and the classified movement of the mobile device.