Roadside Camera Control for Real-Time Sidewalk Safety Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing roadside devices lack an efficient method to accurately determine the safety and condition of sidewalks, particularly in real-time, which is crucial for pedestrian and vehicle safety, and often require manual data registration that is time-consuming and impractical.
Innovation Solution
A roadside device equipped with a camera that captures images of the surrounding area, processes the data to determine the state and safety level of the sidewalk, and communicates this information to in-vehicle devices and smartphones, using wireless communication standards to provide real-time updates and alerts when safety conditions are compromised.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data registration is used to determine sidewalk safety, then data accuracy can be ensured, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system enables automatic sidewalk safety assessment through self-service mechanisms where the roadside device autonomously captures images, processes them using AI algorithms, and generates safety assessments without requiring manual data registration. The device serves itself by automatically updating sidewalk state information and notifying relevant parties, eliminating the need for human intervention in data collection and processing.
2Productivity
If real-time sidewalk safety assessment is implemented using automated image processing, then time efficiency and productivity improve, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces an AI processing unit as an intermediary component that bridges the camera and the control unit. This intermediary automatically processes captured images to extract sidewalk state information, reducing the computational burden on the main control unit and simplifying the overall system architecture. The AI unit acts as a mediator that transforms raw image data into structured safety assessment data.
Solution Approach 2:
The system divides the sidewalk assessment function into separate modular components: image capture by the camera, AI-based processing by the processing unit, and result transmission by the control unit. This segmentation allows each component to be optimized independently and facilitates real-time processing by distributing computational tasks across multiple specialized units.
3Reliability
If comprehensive sidewalk monitoring is implemented to ensure high safety standards, then pedestrian and vehicle safety improve, but the cost and resource requirements increase
Solution Approach 1:
The roadside device is designed with multi-functionality, serving as both a traffic signal controller and a sidewalk safety monitoring system. The same camera and communication infrastructure are used for multiple purposes: traffic signal control, sidewalk state monitoring, and safety assessment. This universal approach reduces resource requirements by eliminating the need for separate dedicated monitoring equipment.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
A roadside device includes a detector configured to detect information for determining a state of a sidewalk around the roadside device, a communication unit 2 configured to communicate with other device, and a controller 5. The controller 5 is configured to determine the state of the sidewalk around the roadside device based on the information and transmit the determined state of the sidewalk to the other device.