Vehicle Collision Imaging Triggered by Sensor Detection
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Solution Overview
Problem
Existing vehicular collision detection systems are inadequate in providing comprehensive data and imaging solutions to accurately document and communicate collision details, particularly in disputes over collision circumstances.
Innovation Solution
A vehicle collision detection system that utilizes sensors and processors to activate onboard and remote cameras to capture environmental images, along with data access devices to gather identifying information, and communicate alerts to enhance collision documentation and reduce insurance costs through authorized security system activations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional collision detection systems are used, then collision detection is provided, but comprehensive documentation and imaging capabilities are insufficient
Solution Approach 1:
The patent combines multiple previously separate systems (collision detection sensors, onboard cameras, remote cameras, and data access devices) into an integrated collision documentation system. The processor receives data from sensors, triggers camera activation, and coordinates with remote systems to capture comprehensive collision information from multiple sources simultaneously, eliminating information loss while managing complexity through integration.
Solution Approach 2:
The system employs multi-functional components that serve multiple purposes: sensors detect both collision events and environmental data, cameras capture both pre-collision and post-collision imagery, and the processor handles data collection, analysis, and coordination of multiple devices. This universality reduces the need for separate dedicated systems while improving documentation completeness.
2Measurement precision
If multiple cameras and data access devices are activated, then detailed imaging and information are obtained, but system complexity and resource requirements increase
Solution Approach 1:
The system activates cameras and data access devices immediately upon collision detection, capturing critical information before it is lost or altered. The processor triggers pre-collision and post-collision imagery capture, ensuring detailed accuracy is achieved through timely activation rather than requiring continuously active complex systems.
Solution Approach 2:
The processor acts as an intermediary that coordinates between sensors, onboard cameras, remote cameras, and data access devices. It receives sensor data, determines collision parameters, and selectively activates only the necessary components based on collision characteristics, reducing the effective complexity while maintaining measurement precision.
3Loss of information
If remote cameras and security systems are integrated, then comprehensive environmental imaging is achieved, but system coordination complexity increases
Solution Approach 1:
The system uses feedback from collision sensors to automatically trigger and coordinate remote camera activation and security system engagement. The processor receives real-time data from sensors, processes collision information, and provides control signals to activate remote resources only when and where needed, achieving comprehensive environmental coverage while simplifying operation through automated feedback-driven coordination.
Data Source
AI summary
A vehicle collision detection system includes one or more processors configured to receive data from one or more sensors coupled to a vehicle and to analyze the data to detect a collision at the vehicle. In response to the collision at the vehicle, the one or more processors are configured to provide control signals to activate one or more cameras coupled to the vehicle to obtain one or more images of an environment surrounding the vehicle.