External Camera Selection for Hit-and-Run Collision Evidence
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Solution Overview
Problem
Existing systems fail to adequately capture the video image of the vehicle responsible for a hit-and-run accident, as the image is captured by the vehicle's own camera.
Innovation Solution
A monitoring system equipped with an acceleration sensor to detect contact with another vehicle, specifying an external image capturing apparatus to capture images of the colliding vehicle, and acquiring those images for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a vehicle's own camera is used to capture images, then the system can record video continuously, but it cannot capture images of the colliding vehicle from an external perspective
Solution Approach 1:
The patent introduces an external monitoring system as an intermediary between the collision event and the image capture. This external system includes cameras positioned at strategic locations (roadside, intersections, etc.) that can capture images of colliding vehicles from perspectives that the vehicle's own camera cannot achieve. The external monitoring system acts as a mediator that bridges the gap between the need for comprehensive collision documentation and the limitations of onboard cameras.
Solution Approach 2:
The external monitoring system is designed to serve multiple functions: it captures images for hit-and-run identification, records traffic violations, monitors road conditions, and provides evidence for various traffic incidents. By making the monitoring system universal and multi-functional, the patent reduces the need for separate specialized systems while still achieving the goal of capturing colliding vehicle images.
2Reliability
If multiple external cameras are deployed to capture collision images, then complete coverage is achieved, but system complexity and cost increase
Solution Approach 1:
The patent divides the monitoring system into multiple independent camera units distributed at different locations rather than using a single complex centralized system. Each camera unit independently monitors its specific area and can identify collisions within its field of view. This segmentation allows the system to achieve comprehensive coverage while keeping individual components simple and manageable.
Solution Approach 2:
The system pre-establishes a network of cameras at strategic locations before collisions occur. When a collision happens, the system quickly identifies which pre-positioned cameras captured the event based on acceleration sensor data from the involved vehicle. This preliminary deployment of cameras eliminates the need for complex real-time system reconfiguration during collisions.
3Loss of information
If the system stores all recorded video images continuously, then complete evidence is available, but storage requirements and data processing burden increase
Solution Approach 1:
The system performs preliminary filtering and identification of important data by using acceleration sensors to detect collision events before storing video images. When a collision is detected, the system identifies and stores only the relevant video segments that captured the collision event, rather than storing all continuous video footage. This preliminary detection and identification process significantly reduces the volume of data that needs to be stored while ensuring complete collision evidence is preserved.
Solution Approach 2:
The system extracts and separates collision-related video data from the vast amount of continuous video footage. By using acceleration sensor data as a reference, the system identifies specific time intervals where collisions occurred and extracts only those segments for storage. This extraction process removes unnecessary data while retaining all essential collision evidence.
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 the appropriate acquisition of information about the colliding vehicle, including features and potential hit-and-run behavior, enhancing the ability to identify and track the responsible vehicle.
Implementation Method 1
the mounted apparatus includes an acceleration sensor
Data Source
AI summary
A monitoring system (1) including: a mounted apparatus (20) configured to be mounted on a first mobile body; and an information processing apparatus (10), in which the mounted apparatus includes an acceleration sensor, and the information processing apparatus includes: a specification unit (11) configured to specify, based on information measured by the acceleration sensor, an image capturing apparatus configured to capture an image of a second mobile body that has come into contact with the first mobile body; and an acquisition unit (12) configured to acquire the image captured by the image capturing apparatus that is specified by the specification unit.