Visual Efficacy Determining System for Driver Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating light environment parameters in night roads and tunnel sections are unreliable and complex, failing to objectively assess the visual efficacy for drivers under different light sources, which affects driving safety and comfort.
Innovation Solution
A method and system that comprehensively analyze color temperature, color rendering index, and brightness levels by recording drivers' eye movement videos while recognizing non-colored objects in various light environments, establishing relationships between visual recognition time and light parameters to set optimal light environment standards for improved visual efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective evaluation methods are used to assess light environment parameters, then the evaluation process is simple to conduct, but the reliability and objectivity of the evaluation results deteriorate
Solution Approach 1:
The patent replaces the mechanical/manual subjective evaluation system with an automated optical measurement system. Specifically, it uses a luminance spectrophotometer to objectively measure light environment parameters (color temperature, color rendering index, brightness) and an eye movement recorder to automatically capture driver visual behavior data, eliminating the need for subjective human judgment while improving evaluation reliability.
Solution Approach 2:
The patent introduces an intermediary measurement and analysis system between the light environment and the evaluation process. This intermediary system includes the luminance spectrophotometer for measuring light parameters, the eye movement recorder for capturing visual behavior, and the computer system for analyzing the relationship between light parameters and visual recognition efficiency, thereby providing objective data-driven evaluation results.
2Measurement precision
If comprehensive light environment parameter analysis is conducted to improve visual efficacy evaluation accuracy, then the measurement precision improves, but the device complexity and test complexity increase
Solution Approach 1:
The patent employs a multi-functional integrated testing system where a single setup can measure multiple light environment parameters (color temperature, color rendering index, brightness) simultaneously using the luminance spectrophotometer, and can also record and analyze eye movement patterns. This universal system reduces the need for multiple separate testing devices while maintaining comprehensive measurement capabilities.
Solution Approach 2:
The patent replaces complex manual testing procedures with automated measurement and analysis systems. The luminance spectrophotometer automatically measures light parameters, the eye movement recorder automatically captures visual behavior data, and the computer system automatically analyzes the relationship between light parameters and visual recognition efficiency, significantly reducing test complexity despite comprehensive measurement requirements.
3Loss of information
If multiple light environment parameters (color temperature, color rendering, brightness) are analyzed simultaneously, then the comprehensiveness of visual efficacy evaluation improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent uses a luminance spectrophotometer to automatically and simultaneously measure multiple light environment parameters (color temperature, color rendering index, brightness) that would be difficult to measure comprehensively by manual methods. The device objectively captures spectral data and calculates all required parameters in one measurement process, reducing measurement difficulty while maintaining information completeness.
Solution Approach 2:
The patent introduces the luminance spectrophotometer as an intermediary measurement tool that bridges the complex task of measuring multiple light parameters and the need for comprehensive visual efficacy evaluation. This intermediary device handles the complexity of simultaneous multi-parameter measurement and provides processed data to the analysis system, making the overall process more manageable.
Data Source
AI summary
The present invention relates to a visual efficacy determining method for non-colored objects in different light environments, comprising: a) setting light environment; b) placing an object for performing visual recognition of a driver; c) resetting the light environment, and repeating the step b); d) processing visual recognition information data obtained after experiments, and establishing a correlating relationship between visual recognition time and color temperature, color rendering index and brightness parameters of the light environment; and e) performing visual efficiency analysis according to the visual recognition information data processing results. The present invention further provides a system for implementing the visual efficacy determining method for non-colored objects in different light environments, wherein the system comprises a simulated tunnel middle section subsystem, a testing subsystem and a data processing subsystem. According to the method and the system disclosed by the present invention, visual efficacy analysis is performed on the visual influence of the light environment setting of the illumination of a night road and a tunnel middle section on the driver, and good guidance standards are provided for the reasonable and efficient setting of the color temperature, color rendering index and average brightness of a lighting device.