Dual Camera Vehicle Safety Control for Night Color Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle cameras struggle to effectively represent colors of light sources and shades in various lighting conditions, leading to reduced image recognition rates and increased risk of traffic accidents, especially at night or in tunnels.
Innovation Solution
A vehicle safety control apparatus using two cameras - one with a bright lens to capture IR light and another with a dark lens to block IR light - that photograph light and shade, and color respectively, with image processing and recognition units to enhance image recognition rates by matching captured data with preset reference object-specific data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a conventional camera with a bright lens or IR camera is used to improve field of view at night, then visibility is improved, but color representation of light sources and signal lights deteriorates (saturation is lost)
Solution Approach 1:
The system divides the imaging function into two separate cameras: one optimized for capturing light and shade information (improving visibility in low light), and another optimized for capturing color information. This segmentation allows each camera to specialize in one aspect, resolving the contradiction between visibility and color accuracy that plagues single-camera systems.
2Adaptability or versatility
If a 650 nm cut-off camera is used, then daytime operation is possible, but recognition of objects in shaded areas, tunnels, or at night deteriorates
Solution Approach 1:
The system employs two cameras with different spectral characteristics to achieve multi-functionality: one camera handles daytime and well-lit conditions, while the other handles nighttime, tunnel, and shaded conditions. This universal approach allows the system to maintain high object recognition rates across all lighting environments rather than being optimized for just one condition.
3Device complexity
If image data from multiple cameras is processed separately, then processing simplicity is maintained, but overall image recognition rate deteriorates
Solution Approach 1:
The system merges the image data from the two specialized cameras through image processing and recognition algorithms. By combining the light/shade information from one camera with the color information from the other, the system achieves a synergistic effect where the overall recognition rate exceeds what either camera could achieve alone, while maintaining manageable processing complexity through integrated algorithms.
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
The solution significantly increases image recognition rates for objects like lanes, vehicles, and signal signs, reducing the risk of traffic accidents and enhancing driver convenience by providing improved visibility and alerting drivers to critical objects.
Implementation Method 1
a first camera configured to photograph light and shade of a current object during running
Implementation Method 2
a second camera configured to photograph a color of the current object during the running
Data Source
AI summary
A vehicle safety control apparatus using cameras includes a first camera configured to photograph light and shade of a current object during running, a second camera configured to photograph a color of the current object during the running, an image processing unit configured to perform image processing on first current object image data captured by the first camera and second current object image data captured by the second camera, a recognition unit configured to recognize the first and second current object image data on which the image processing unit has performed the image processing, a storage unit configured to cause the recognized data to match preset reference object-specific data and separately store the data matching the preset reference object-specific data; and a control unit configured to receive the recognized data and deliver a storage command to the storage unit.


