Vehicle Device Pairing Using Occupant Presence Verification
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Solution Overview
Problem
Existing systems face challenges in determining the correct device to pair with a vehicle based on proximity and the presence of the associated person, leading to potential incorrect pairings when multiple devices are present or when the owner is not in proximity.
Innovation Solution
A system that uses sensors such as Millimeter Wave Radar and cameras to detect objects and people within the vehicle, determining the proximity and identity of individuals to ensure that only authorized devices are paired with the vehicle, utilizing a processor to analyze data and validate pairings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system pairs devices with vehicles based on proximity alone, then the pairing process is simple and fast, but incorrect pairings occur when multiple devices are present or when the owner is not in proximity
Solution Approach 1:
The system performs preliminary detection of the vehicle interior using sensors (cameras, radar, microphones) before allowing device pairing. This preliminary action identifies the presence and location of occupants, ensuring that only devices belonging to people inside the vehicle can pair, thus preventing incorrect pairings while maintaining automated operation
Solution Approach 2:
The system introduces an intermediary verification layer between proximity detection and device pairing. This intermediary checks sensor data to confirm occupant presence and validates the relationship between the approaching device and the vehicle interior, ensuring reliable pairing without complicating the user experience
2Reliability
If the system uses sensors to detect objects and people within the vehicle, then pairing accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors (cameras, radar, microphones) that serve multiple purposes: detecting objects, identifying people, determining proximity, and verifying device ownership. This universal approach improves pairing accuracy without requiring separate specialized systems for each function
Solution Approach 2:
The system combines multiple detection modalities (visual, radar, audio) into a unified verification process. By merging these sensor inputs, the system achieves high pairing accuracy through data fusion rather than through individual complex systems, reducing overall system complexity while maintaining reliability
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
Ensures secure and accurate pairing of devices with vehicles by verifying the presence and proximity of the associated person, preventing unauthorized connections and improving user experience by simplifying the pairing process.
Implementation Method 1
A system that uses sensors such as Millimeter Wave Radar and cameras to detect objects and people within the vehicle
Implementation Method 2
A system that uses sensors such as Millimeter Wave Radar and cameras to detect objects and people within the vehicle
Data Source
AI summary
An example operation includes one or more of determining that a device associated with a vehicle is proximate or in the vehicle, determining that the device is approved for pairing with the vehicle, detecting that a person associated with the device is proximate or in the vehicle, and pairing the device with the vehicle.