Obstruction Detection in Facial Recognition Cameras
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Solution Overview
Problem
Facial recognition processes face difficulties when the camera or illuminator is obstructed, leading to frustrated user experiences due to the lack of notification about the obstruction, which hinders successful authentication.
Innovation Solution
Implementing a camera obstruction detection process and a pattern detection process to determine if objects are blocking the camera or illuminator, providing notifications to the user if an obstruction is detected, ensuring clear views and proper illumination for successful facial recognition authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition process is implemented without obstruction detection, then authentication speed is maintained, but user experience deteriorates due to lack of notification about obstructions
Solution Approach 1:
The patent implements obstruction detection as a preliminary action before the main facial recognition authentication process. The system detects obstructions in the camera field of view and illuminator paths beforehand, notifying users to remove obstructions before authentication attempts begin. This preliminary detection prevents wasted authentication attempts and improves overall success rates without significantly increasing authentication time.
Solution Approach 2:
The system provides feedback to users about obstructions detected during the authentication process. When obstructions are detected in the camera or illuminator paths, the system notifies users through visual or auditory signals, enabling them to correct the issue. This feedback mechanism improves authentication reliability by ensuring users are aware of and can address obstructions that would otherwise cause authentication failures.
2Reliability
If obstruction detection processes are added to facial recognition system, then authentication reliability is improved, but device complexity increases
Solution Approach 1:
The patent makes the camera serve multiple functions: it is used both for the primary facial recognition authentication process and for detecting obstructions in the field of view. By analyzing the captured images for obstruction patterns, the system eliminates the need for separate dedicated obstruction detection hardware. Similarly, the illuminator serves dual purposes of providing illumination for face detection and enabling detection of obstructions in its light path, thereby reducing overall system complexity while maintaining improved authentication reliability.
3Measurement precision
If camera and illuminator obstruction detection is implemented, then facial recognition accuracy is improved, but processing time increases
Solution Approach 1:
The system performs partial obstruction detection by focusing analysis on specific regions of the captured images where obstructions are most likely to occur, such as the central field of view and illuminator paths. Rather than analyzing every pixel in detail, the system applies obstruction detection algorithms selectively to relevant areas, maintaining high face detection accuracy while minimizing additional processing time. This partial action approach balances precision improvement with time efficiency.
Data Source
AI summary
A facial recognition process operating on a device may include one or more processes that determine if a camera and/or components associated with the camera are obstructed by an object (e.g., a user's hand or fingers). Obstruction of the device may be assessed using flood infrared illumination images when a user's face is not able to be detected by a face detection process operating on the device. Obstruction of the device may also be assessed using a pattern detection process that operates after the user's face is detected by the face detection process. When obstruction of the device is detected, the device may provide a notification to the user that the device (e.g., the camera and/or an illuminator) is obstructed and that the obstruction should be removed for the facial recognition process to operate correctly.