Rear-View Mirror Camera for Drowsiness Detection
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Solution Overview
Problem
Driver drowsiness poses a significant risk while driving, as existing mitigation techniques are not effective over a long period and fail to address the underlying issue of sustained alertness.
Innovation Solution
A vehicle system equipped with a camera mounted on the rear-view mirror to detect drowsiness through facial recognition and infrared thermal imaging, providing escalating alerts and navigation to nearby accommodations when drowsiness is detected, including audio, visual, and haptic warnings, and even booking a room at the selected destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing mitigation techniques are used to address driver drowsiness, then short-term alertness may be improved, but long-term effectiveness deteriorates
Solution Approach 1:
The system performs preliminary detection of drowsiness signs using cameras and sensors before the driver becomes fully drowsy. It provides escalating warnings and proactively navigates to accommodations before critical fatigue sets in, preventing long-term alertness deterioration
Solution Approach 2:
The system continuously monitors driver alertness through facial recognition, eye tracking, and physiological sensors. It provides real-time feedback through visual, auditory, and haptic warnings, and adjusts navigation decisions based on ongoing alertness assessment to maintain long-term effectiveness
2Measurement precision
If a camera system with multiple detection functions is installed, then drowsiness detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection functions (facial recognition, eye tracking, physiological monitoring) into a single integrated camera system mounted on the rear-view mirror. This merging approach maintains high detection accuracy while reducing overall system complexity compared to separate devices
Solution Approach 2:
The camera system performs multiple functions including drowsiness detection, facial recognition, eye state monitoring, and physiological parameter measurement. This multi-functionality improves detection accuracy without requiring separate specialized devices for each function
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively mitigates driver drowsiness by providing escalating alerts and navigation to safe accommodations, ensuring driver alertness and safety over extended periods.
Implementation Method 1
A vehicle system equipped with a camera mounted on the rear-view mirror to detect drowsiness through facial recognition and infrared thermal imaging
Data Source
AI summary
Systems and methods are disclosed for occupant alertness-based navigation. An example vehicle includes a camera and an occupant monitor. The example camera is affixed to a rear-view mirror of the vehicle to detect drowsiness events associated with a driver. The example occupant monitor is to, in response to detecting, with the camera, a first drowsiness event, provide feedback to a driver. Additionally, the example occupant monitor is to, in response to detecting a second drowsiness event after the first, select an accommodation in the geographic vicinity of the vehicle, and set a navigation system to navigate to the selected accommodation.