Mobile Beacon Crash Confirmation for Reliable Vehicle Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for detecting vehicle crashes using sensors and apps have several drawbacks, including inefficiencies in confirming crash events and providing accurate post-crash information.
Innovation Solution
A computer-implemented method and system that utilizes a first mobile computing device to detect potential vehicle crashes, operate in a beacon receive mode, and receive data from a second mobile computing device in a beacon transmit mode to confirm whether a crash has occurred.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a single mobile computing device detects a potential crash condition, then crash detection speed is improved, but false positives increase and reliability decreases
Solution Approach 1:
The system uses beacon signals as feedback mechanisms where mobile devices transmit crash detection data to a server and receive confirmation or correction. The server processes data from multiple devices and sends back feedback to confirm actual crashes or correct false positives, improving reliability while maintaining detection speed.
Solution Approach 2:
The patent combines data from multiple mobile computing devices to confirm crash events. By merging detection data from several devices and cross-referencing with server processing, the system reduces false positives while maintaining rapid detection capability.
2Reliability
If multiple sensors and processing steps are used to confirm crash events, then reliability is improved, but system complexity increases
Solution Approach 1:
The server acts as an intermediary that simplifies the overall system architecture. Instead of requiring complex peer-to-peer verification between multiple mobile devices, the server centralizes the confirmation process by receiving beacon data, processing it against crash criteria, and providing unified confirmation to all devices.
Solution Approach 2:
The system uses beacon signals as simplified copies or representations of complex crash detection data. Rather than transmitting full sensor datasets between devices, each device sends a compact beacon signal containing essential crash indicators, reducing communication complexity while maintaining verification capability.
3Measurement precision
If beacon transmit and receive modes are implemented across multiple devices, then information accuracy is improved, but energy consumption increases
Solution Approach 1:
The beacon transmission operates periodically rather than continuously. Mobile devices switch between transmit and receive modes in scheduled intervals, allowing them to conserve energy when not actively transmitting or receiving beacon signals while still maintaining accurate crash detection capability when needed.
Data Source
AI summary
A computer-implemented method for detecting vehicle crashes is presented. The method may include detecting, at a first mobile computing device a condition corresponding to a potential crash of a vehicle. The method may also include operating a beacon receive mode in response to detecting the potential crash condition, and receiving data from a second mobile computing device operating in a beacon transmit mode, the data indicating that the second mobile computing device detected an actual crash condition of the vehicle. The method may further include confirming, based on the potential crash condition and the data received from the second mobile computing device, that the potential crash is an actual crash.