Collision Detection System for Accident Service Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users involved in vehicle collisions often struggle to determine the necessary services to contact due to disorientation, and existing technologies lack effective mechanisms to promptly provide relevant service information based on geographical location.
Innovation Solution
A system comprising one or more computing devices configured to generate sensor information from user device sensors, determine if a collision has occurred, and present contact information for service providers based on geographical location, facilitating quick access to medical, legal, or towing services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually determines which services to contact after a collision, then the user has control over service selection, but the user becomes disoriented and unable to efficiently access necessary services
Solution Approach 1:
The system enables self-service by automatically detecting collisions through sensor data, identifying relevant service providers based on geographical location, and presenting contact information without requiring user intervention. The system serves itself by autonomously completing the entire workflow from collision detection to service provider presentation.
Solution Approach 2:
The system performs preliminary actions by pre-identifying and storing service provider information based on geographical location before the collision occurs. When a collision is detected, the system can immediately present the pre-prepared contact information, eliminating the time delay associated with searching for services after the event.
2Loss of information
If the system presents comprehensive service provider information, then the user has access to all necessary services, but the information overload may confuse the already disoriented user
Solution Approach 1:
The system applies local quality by providing different types of service information based on the specific collision context and user needs. Rather than presenting uniform information for all scenarios, the system tailors the service provider information to the local conditions of each collision event, such as prioritizing medical services for severe collisions.
Solution Approach 2:
The system segments service provider information by category (medical, legal, towing, etc.) and presents them as distinct, organized options. This segmentation allows users to quickly scan and select the specific type of service needed without being overwhelmed by a undifferentiated mass of information.
3Reliability
If the system uses multiple sensors to accurately detect collisions, then the detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The system achieves universality by using a single integrated processing unit that handles multiple sensor types (accelerometer, gyroscope, microphone). This multi-functional approach allows the same hardware component to process data from various sensors, reducing overall device complexity while maintaining reliable collision detection through multi-sensor input.
Data Source
AI summary
Systems, methods, and media for connecting users to accident services are disclosed herein. The systems can include memory and one or more processors configured at least to generate sensor information based at least on one or more outputs of one or more sensors of a user device, the sensor information including accelerometer information; in response to generating the sensor information, determine that the user device was involved in a collision based at least on the sensor information; determine geographical location information of the user device; in response to determining that the user device was involved in the collision and in response to determining geographical location information of the user device, cause at least contact information for one or more service providers to be presented on the user device based at least in part on the geographical location information of the user device.


