Mobile Accelerometer Crash Detection via Threshold Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for reporting vehicle crashes are delayed and often result in incomplete or vague information, leading to inefficiencies in processing insurance claims.
Innovation Solution
A mobile computing device with an accelerometer and processor that detects crashes by measuring acceleration events and determines if they exceed a threshold, allowing for immediate and accurate reporting of crash information, including location and severity, to a crash detection server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drivers manually report crashes to insurance providers, then crash information can be obtained, but the reporting is delayed by days or weeks and information may be incomplete or vague
Solution Approach 1:
The system performs preliminary action by automatically detecting and recording crash data at the moment of impact using sensors and processors embedded in the vehicle. This eliminates the need for delayed manual reporting by drivers, capturing precise location, severity, and other crash parameters immediately when the event occurs, thereby resolving both the time delay and information accuracy problems simultaneously
2Loss of information
If drivers report crashes manually after the event, then some crash information is obtained, but the information is often incomplete or vague such as forgotten location details
Solution Approach 1:
The system replaces the mechanical human memory and manual reporting process with an automated electronic detection system using accelerometers, gyroscopes, and processors. These sensors continuously monitor vehicle motion and automatically identify crash events, capturing complete and precise data including exact location, impact severity, and temporal characteristics without relying on human recollection, thus eliminating information incompleteness while enabling immediate reporting
3Measurement precision
If crash detection uses multiple acceleration thresholds and time windows, then crash detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The system applies segmentation by dividing the crash detection process into distinct operational phases: a first time window with a first acceleration threshold for initial crash detection, and a second time window with a second acceleration threshold for confirmation or alternative detection. This segmented approach improves detection accuracy by handling different crash scenarios with appropriate parameters while keeping each individual detection rule relatively simple and manageable
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
Enables timely and precise reporting of vehicle crashes, reducing delays in insurance claim processing and improving the accuracy of crash data collection.
Implementation Method 1
an accelerometer configured to measure acceleration of at least one axis of the accelerometer
Data Source
AI summary
Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. The acceleration of the vehicle may be measured using, for example, an accelerometer of a mobile device, which may be located inside the vehicle. The system may determine the magnitude of each accelerometer measurement and whether the magnitude exceeds one or more acceleration magnitude thresholds. The system may also determine the number of accelerometer events within a time window and whether the number exceeds one or more count thresholds. The system may determine whether a crash involving the vehicle has occurred based on the magnitudes of acceleration, number of acceleration events, and various thresholds. In some examples, the system may confirm that a crash has occurred based on, for example, the location of the mobile device.