Smartphone Magnetometer Vehicle Identification via Magnetic Signatures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle telematics systems face limitations in accurately determining the specific identity and type of vehicle a smartphone is in, due to arbitrary speed thresholds, battery drain from continuous GPS usage, and inability to differentiate between vehicles like buses and taxis, which hinders the adoption of smartphone-based telematics solutions.
Innovation Solution
A device with field-detecting components that measure electric, magnetic, or electromagnetic fields to generate unique signatures for vehicle identification, using a database to register and compare these signatures for accurate vehicle recognition, allowing smartphones to determine the type of vehicle they are in.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If GPS sensor is used to detect vehicle motion, then vehicle mode detection can be automated, but battery resources are severely drained
Solution Approach 1:
The patent extracts the vehicle detection function from the GPS sensor and relocates it to the magnetometer. By taking out the motion detection task from the energy-intensive GPS system and placing it in the low-power magnetometer, the solution achieves automatic vehicle mode detection without severe battery drain
Solution Approach 2:
The patent substitutes the GPS-based motion detection mechanism with a magnetic field-based detection mechanism. Instead of using satellite positioning and velocity calculations, the system uses the magnetometer to detect characteristic magnetic field signatures of vehicles, replacing an energy-intensive system with a low-power alternative
2Device complexity
If arbitrary speed threshold is used for drive mode detection, then implementation is simple, but detection accuracy is poor and drive mode terminates in traffic
Solution Approach 1:
The patent uses magnetic field signature detection as a unique identifier for vehicle mode, similar to how color changes can indicate different states. Each vehicle configuration produces a distinctive magnetic field pattern that serves as a fingerprint, enabling accurate identification without complex algorithms or arbitrary thresholds
3Ease of manufacture
If smartphone-based telematics is used, then additional hardware costs are avoided, but ability to identify specific vehicle type is lost
Solution Approach 1:
The patent enables the smartphone to identify vehicle type using its own built-in magnetometer sensor. The smartphone serves itself by utilizing existing onboard sensors to detect magnetic field signatures, eliminating the need for additional external hardware while maintaining accurate vehicle identification capability
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
This solution enables smartphones to accurately identify vehicles, reducing battery drain and improving accuracy, thereby enhancing the potential for smartphone-based telematics services without additional hardware costs, allowing for more efficient and user-friendly vehicle mode detection.
Implementation Method 1
a magnetometer to measure a magnetic field associated with the vehicle
Data Source
AI summary
A device includes a field-detecting component, an input component, an accessing component, a comparing component and an identifying component. The field-detecting component can detect a field and generate a detected field signature based thereon. The input component can input the detected field signature into a database. The accessing component can access the detected field signature from the database. The comparing component can generate a comparison signal. The identifying component can identify item or location based on the comparison signal. The field-detecting component can further detect a second field and generate a second detected field signature based on the detected second field. The comparing component can generate the comparison signal based on a comparison of the detected field signature and the second detected field signature.