Smart Roadside Unit Dual Camera System for Tunnel Lighting
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Solution Overview
Problem
Smart roadside units with a single camera face challenges in accurate vehicle identification due to fixed light sensitivity, leading to unclear images in environments with large light intensity differences, such as tunnel entrances.
Innovation Solution
Incorporating a high-bright camera assembly and a low-bright camera assembly with the same shooting view to capture images, allowing for the combination of high-bright and low-bright images to enhance identification accuracy by extracting clear regions from each image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used in the smart roadside unit, then the device complexity is reduced, but the vehicle identification accuracy deteriorates in environments with large light intensity differences
Solution Approach 1:
The camera system is segmented into multiple camera assemblies with different light sensitivity characteristics (high-bright camera and low-bright camera). Each camera assembly is optimized for specific lighting conditions, allowing the system to maintain high identification accuracy across varying light environments without requiring an overly complex single-camera system.
Solution Approach 2:
The system changes the light sensitivity parameter by using multiple camera assemblies with different sensitivity characteristics. The controller selects or combines images from cameras with appropriate sensitivity parameters based on the actual lighting conditions, thereby maintaining identification accuracy without increasing device complexity excessively.
2Measurement precision
If multiple camera assemblies with different light sensitivities are added, then the vehicle identification accuracy in varying light conditions is improved, but the device complexity increases
Solution Approach 1:
Multiple camera assemblies serve universal functionality by covering different lighting scenarios. The high-bright camera and low-bright camera together provide comprehensive coverage for various light conditions, making the system universally applicable without requiring separate specialized systems for each lighting environment.
Solution Approach 2:
The controller automatically selects or combines images from appropriate camera assemblies based on the actual lighting conditions without external intervention. The system self-adjusts by utilizing the characteristics of different camera assemblies, reducing the need for complex external control mechanisms.
3Loss of information
If images from multiple camera assemblies are combined, then the clarity of vehicle information in varying light intensities is improved, but the information processing complexity increases
Solution Approach 1:
The controller performs partial image combination by selectively using images or image regions from different camera assemblies based on lighting conditions. Rather than always combining all available images, the system applies combination only when necessary and to the extent needed, reducing processing complexity while maintaining information clarity.
Data Source
AI summary
Provided is a smart roadside unit, including: a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image, in which the high-bright camera assembly and the low-bright camera assembly have a substantially same shooting view; and a controller configured to extract vehicle information from the high-bright image and the low-bright image.