Driver Fatigue Detection Control for Physical and Mental Alertness
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Solution Overview
Problem
Existing safety drive assist systems primarily focus on detecting sleepiness and do not effectively address physical and mental fatigue levels, making it difficult to appropriately select awakening methods and adjust their intensity, which can lead to increased accident risks due to inadequate fatigue management.
Innovation Solution
A safety drive assist apparatus that includes an imaging unit, information acquisition unit, first and second determination processors, and a control processor to assess physical and mental fatigue levels based on biometric data, using a combination of visual, auditory, somatosensory, and olfactory stimulation devices to promote awakening and recovery, allowing for tailored interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only sleepiness detection is implemented, then the system complexity is low, but the fatigue management effectiveness is insufficient
Solution Approach 1:
The fatigue detection system is segmented into two independent processors: a first determination processor for physical fatigue detection using biometric information, and a second determination processor for mental fatigue detection using image information. This segmentation allows comprehensive fatigue management while maintaining modular system architecture that manages complexity.
Solution Approach 2:
The control processor integrates multiple functions by receiving determination information from both processors and selecting appropriate awakening methods from multiple categories (visual, auditory, somatosensory, olfactory). This multi-functionality enables comprehensive fatigue management without requiring separate systems for each fatigue type.
2Measurement precision
If multiple determination processors are added, then the fatigue detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The determination functions are segmented into specialized processors: the first determination processor handles physical fatigue detection with high precision using biometric data, while the second determination processor handles mental fatigue detection using image analysis. Each processor is optimized for its specific function, improving overall detection accuracy while maintaining manageable complexity through functional specialization.
Solution Approach 2:
The control processor acts as an intermediary that receives determination information from both specialized processors, integrates the data, and selects appropriate awakening methods. This intermediary role coordinates the multiple processors efficiently, managing the complexity of integrating multiple determination functions while maintaining high detection accuracy.
3Measurement precision
If comprehensive biometric data is collected, then the determination accuracy is improved, but the information processing load increases
Solution Approach 1:
The information processing is segmented into two parallel streams: the first determination processor analyzes biometric information for physical fatigue detection, while the second determination processor analyzes image information for mental fatigue detection. This segmentation distributes the information processing load across multiple processors, reducing the burden on any single processor while maintaining comprehensive data analysis for high determination accuracy.
Solution Approach 2:
Each determination processor independently processes its designated data type without requiring extensive intervention from the control processor. The first determination processor self-sufficiently analyzes biometric data, and the second determination processor self-sufficiently analyzes image data, reducing the overall information processing load on the central control system while maintaining high determination accuracy.
Data Source
AI summary
A safety drive assist apparatus includes an imaging unit, an information acquisition unit, a first determination processor, a second determination processor, and a control processor. The imaging unit captures an image of an occupant inside a vehicle. The information acquisition unit acquires information including biometric information of the occupant inside and outside the vehicle. The first determination processor and the second determination processor determine a physical fatigue level and a mental fatigue level of the occupant inside the vehicle, respectively, on the basis of the image of the occupant inside the vehicle captured by the imaging unit or the information including the biometric information of the occupant inside and outside the vehicle acquired by the information acquisition unit. The control processor controls a vehicle device on the basis of one or both of determination information obtained by the first determination processor, and determination information obtained by the second determination processor.