Pedestrian Safety Analysis Server Architecture
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Solution Overview
Problem
Existing navigation systems do not effectively provide real-time pedestrian safety information by integrating pedestrian recognition from image data with traffic signal information, leading to potential safety hazards.
Innovation Solution
A system and method that utilize an analysis server to recognize pedestrians from image data obtained by vehicles and roadside infrastructure, and link this information with traffic signal data to provide safety guidance to vehicles, thereby enhancing pedestrian safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pedestrian recognition is performed using image data from vehicles and roadside infrastructure, then pedestrian safety information can be provided, but system complexity increases due to the need for multiple data sources and processing servers
Solution Approach 1:
The system is divided into separate functional modules: a navigation server that handles route planning and a separate analysis server that performs pedestrian recognition and safety analysis. This segmentation allows each component to specialize in specific tasks, improving overall reliability while managing complexity through modular architecture.
Solution Approach 2:
The analysis server acts as an intermediary between the navigation server and the final safety information output. It receives image data from vehicles and roadside infrastructure, processes this data to identify pedestrians, and provides safety assessments to the navigation server, thereby mediating the complex data processing workflow.
2Loss of time
If real-time pedestrian recognition is performed using image data, then safety information can be provided timely, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing image data and extracting relevant features before the actual pedestrian recognition occurs. Roadside infrastructure cameras capture and pre-process images in advance, and the analysis server prepares processing queues, so that when real-time recognition is needed, the system can respond quickly without consuming excessive computational resources at the moment of detection.
3Loss of information
If traffic signal information is integrated with pedestrian recognition results, then comprehensive safety guidance can be provided, but information processing complexity increases
Solution Approach 1:
The analysis server merges multiple data sources including image data from vehicles, roadside infrastructure cameras, and traffic signal information into a unified safety assessment. By combining these diverse data types through standardized processing protocols, the system achieves comprehensive safety guidance while managing processing complexity through integrated architecture.
Data Source
AI summary
A system for providing safety information includes an analysis server that receives image data and traffic signal information from an external device, recognizes a pedestrian from the image data, and analyzes pedestrian safety associated with the recognition of the pedestrian in view of the traffic signal information, and a navigation server that generates and transmits pedestrian safety information to a vehicle terminal based on the analysis of the pedestrian safety, which is output from the analysis server.