Vehicle-Mounted Camera Blocking Check for Driver Detection
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Solution Overview
Problem
Existing driver monitoring systems face challenges in accurately determining the on-duty state of a driver due to blocking of vehicle-mounted image acquisition devices, leading to unreliable detection and safety concerns.
Innovation Solution
A method and apparatus that determine the on-duty state by ensuring the vehicle-mounted image acquisition device is not blocked and extracting a face image from the acquired image, using face recognition techniques to match the extracted image with pre-stored driver features, thereby reducing the influence of blocking on detection accuracy and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition is used to detect driver on-duty state, then detection accuracy is improved, but the system becomes vulnerable to blocking of the image acquisition device
Solution Approach 1:
The system performs preliminary actions by checking whether the image acquisition device is blocked before attempting face recognition. This preliminary check prevents unreliable detection from occurring in the first place, thereby maintaining both accuracy and reliability under varying conditions.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring the blocking state of the image acquisition device and adjusting the detection process accordingly. When blocking is detected, the system can switch to alternative detection methods or alert the driver, ensuring reliable operation despite the blocking condition.
2Reliability
If the system checks for device blocking before face extraction, then reliability is improved, but detection time increases
Solution Approach 1:
The system performs a partial check for device blocking rather than a complete verification. By checking only critical blocking conditions that would definitively prevent face recognition, the system achieves sufficient reliability while minimizing the time penalty associated with comprehensive blocking detection.
Data Source
AI summary
A method and apparatus for detecting an on-duty state of a driver, a device, and a computer storage medium are provided. The method includes: determining that a vehicle-mounted image acquisition device is not blocked; extracting a face image from an image acquired by the vehicle-mounted image acquisition device when a vehicle is in a starting state, where the vehicle-mounted image acquisition device is mounted on the vehicle and is at least configured to acquire an image of a driving position region of the vehicle; and in response to the case that no face image is extracted from the acquired image, determining that the driver is off duty.