Fatigue Detection System for Adaptive Route Planning
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Solution Overview
Problem
Current safety drive assist systems are inadequate in determining and addressing physical and mental fatigue of vehicle occupants, which can lead to increased accident risks due to indeterminable fatigue levels.
Innovation Solution
A safety drive assist apparatus that includes an imaging unit, information acquisition unit, and processors to determine physical and mental fatigue levels, and proposes a recommended traveling route and stop-by point based on these determinations to reduce fatigue and accident likelihood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fatigue detection is not implemented, then the system remains simple, but accident risk increases due to undetected fatigue
Solution Approach 1:
The fatigue detection system is divided into separate functional modules: an imaging unit for capturing images, an information acquisition unit for obtaining biometric data, a first determination processor for physical fatigue analysis, and a second determination processor for mental fatigue analysis. This segmentation allows each component to perform a specific function, improving reliability while keeping individual components relatively simple.
Solution Approach 2:
The patent introduces an intermediary information acquisition unit that collects biometric information (heart rate, blood pressure, respiration) as a mediator between the driver's physiological state and the fatigue determination processors. This intermediary converts complex physiological signals into interpretable data, enabling accurate fatigue detection without requiring direct complex analysis of raw biological signals.
2Measurement precision
If only sleepiness detection is implemented, then the system remains simple, but physical and mental fatigue cannot be accurately determined
Solution Approach 1:
The detection system is segmented into two independent determination processors: the first determination processor analyzes physical fatigue based on images and biometric information, while the second determination processor analyzes mental fatigue using the same inputs. This segmentation enables precise measurement of different fatigue dimensions without requiring a single complex all-in-one processor.
Solution Approach 2:
The imaging unit and information acquisition unit serve multiple functions: they provide input data to both the first determination processor (for physical fatigue) and the second determination processor (for mental fatigue). This multi-functionality improves measurement precision by reusing the same sensing infrastructure for multiple analysis purposes, reducing overall system complexity.
3Adaptability or versatility
If fatigue assessment is not provided, then the system remains simple, but appropriate rest recommendations cannot be made
Solution Approach 1:
The search control processor receives feedback from both determination processors regarding the occupant's physical and mental fatigue levels. Based on this feedback, the system dynamically adjusts route recommendations, suggesting rest stops or alternative routes when fatigue is detected. This feedback loop enables adaptive behavior without requiring complex manual intervention.
Solution Approach 2:
The search control processor proactively searches for and prepares recommended traveling routes and stop-by points before the occupant actually needs them. By anticipating fatigue conditions based on continuous monitoring and preparing recommendations in advance, the system enables timely intervention without requiring complex real-time decision-making under stress.
Data Source
AI summary
A safety drive assist apparatus includes an imaging unit, an information acquisition unit, first and second determination processors, and a search control processor. The imaging unit captures an image of an occupant inside a vehicle. The information acquisition unit is provided inside and outside the vehicle and acquires information including biometric information of the occupant. The first and the second determination processors determine physical and mental fatigue levels of the occupant inside the vehicle, respectively, on the basis of the image captured by the imaging unit or the information acquired by the information acquisition unit. The search control processor searches for a recommended traveling route and a recommended stop-by point on the basis of a search condition, and propose a result of the search to the occupant. The search condition is based on one or both of determination information obtained by the first determination processor, the second determination processor.