Vehicle Collision Image Capture System
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Solution Overview
Problem
Current systems lack an effective method to automatically capture and transmit digital images during vehicle collisions, which is crucial for establishing accountability and evidence in accident scenarios.
Innovation Solution
A vehicle collision recording system equipped with proximity sensors, impact sensors, and digital cameras that detect collisions and capture images from multiple angles, transmitting them to a remote server for secure storage and distribution to designated recipients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual incident reporting is used, then people can report accidents, but it is time-consuming and people may forget to report or leave the scene without proper documentation
Solution Approach 1:
The system performs preliminary actions by automatically capturing images and data at the moment of collision before the driver can forget or leave the scene. Sensors detect the impact and immediately trigger camera capture, ensuring evidence is preserved without requiring human action at the critical moment.
Solution Approach 2:
The system serves itself by automatically detecting collisions through sensors, capturing relevant images, and transmitting data without requiring human intervention. The vehicle's own systems perform the reporting function, eliminating the need for manual incident documentation.
2Reliability
If multiple sensors and cameras are deployed to capture comprehensive collision data, then evidence quality improves, but device complexity increases
Solution Approach 1:
The system uses multi-functional components that serve multiple purposes. For example, cameras capture both the collision event and surrounding environment, while sensors provide data for both detection and documentation. This universal approach improves evidence reliability without proportionally increasing complexity.
Solution Approach 2:
The patent combines multiple sensing and capture functions into an integrated system. Proximity sensors, impact sensors, and cameras work together as a unified collision response system, sharing processing and control resources to manage complexity while maintaining comprehensive evidence capture.
3Reliability
If the system captures images continuously to ensure collision evidence is recorded, then evidence capture reliability improves, but energy consumption increases
Solution Approach 1:
Instead of continuous operation, the system uses periodic or event-triggered action. Cameras and sensors remain in standby mode and are activated only when collision is detected, then capture images for a predetermined period. This approach ensures reliable evidence capture while dramatically reducing energy consumption compared to continuous operation.
4Loss of information
If the system transmits all captured images immediately after collision, then information availability improves, but data transmission time and bandwidth usage increase
Solution Approach 1:
The system performs preliminary actions by capturing and locally storing images immediately upon collision detection, ensuring evidence is preserved without delay. Transmission to remote servers occurs subsequently, allowing immediate local availability while managing transmission timing to optimize bandwidth usage and reduce network congestion.
Data Source
AI summary
A method for capturing digital images during vehicle collisions includes: detecting, by a computer device, an impact with a vehicle; controlling, by the computer device and based on the detecting, at least one digital camera to capture images of an area around the vehicle; and transmitting, by the computer device, the images to a server that is remotely located relative to the vehicle.