Biometric Face Detection Using 3D Sensor Position Correction
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Solution Overview
Problem
Existing devices for detecting biometric features of a person's face often suffer from imaging errors, leading to false rejections in automated systems, which are time-consuming, costly, and pose a security risk, especially in border control scenarios where image quality is compromised due to poor camera technology and varying lighting conditions.
Innovation Solution
A device comprising a camera, a 3D sensor, and an evaluation/control unit that captures image data and digital measurement data to determine the relative position of the camera and face, performs error checking, and applies automatic data correction to ensure high-quality image capture according to ISO 19794-5 standards, while also allowing for the detection of parallax errors and trapezoidal distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic passport photo machines are used to reduce cost and time, then productivity increases, but image quality deteriorates due to imaging errors and incorrect user posture
Solution Approach 1:
The system performs preliminary detection of user posture and head position before the actual photo capture. The control unit evaluates whether the user is correctly positioned and guides them to adjust, preventing imaging errors before they occur. This preliminary action ensures high image quality while maintaining automated processing efficiency.
Solution Approach 2:
The system provides real-time feedback to users about their posture and positioning through visual or auditory guidance. The control unit continuously monitors image quality parameters and communicates adjustments needed to the user, enabling them to self-correct and achieve proper positioning without manual intervention, thus maintaining both productivity and image quality.
2Manufacturing precision
If professional photographers are used to ensure high image quality, then manufacturing precision improves, but productivity decreases due to time-consuming manual processes
Solution Approach 1:
The system enables users to independently position themselves correctly and capture their own passport photos without professional photographer assistance. Through automated detection, evaluation, and guidance mechanisms, users can self-correct their posture and positioning, achieving ISO 19794-5 compliant images while dramatically increasing processing speed and reducing costs.
Solution Approach 2:
The patent replaces the mechanical skill-based system of professional photographers with an automated electronic system comprising sensors, processors, and feedback mechanisms. This substitution transforms the manual image quality control process into an automated system that can simultaneously serve multiple users, thereby increasing productivity while maintaining or improving image quality consistency.
3Device complexity
If the camera is positioned closer to the face to fit cramped spaces, then device complexity is reduced, but measurement precision deteriorates due to perspective distortion
Solution Approach 1:
The system dynamically adjusts imaging parameters such as focal length, aperture, and focus distance based on the detected relative position between camera and face. When space constraints require closer positioning, the system compensates by adjusting these parameters to minimize perspective distortion and maintain measurement precision for biometric feature extraction.
Solution Approach 2:
The patent introduces a 3D sensor device that adds depth information to the imaging system. This third dimension allows the system to compensate for perspective distortion caused by close positioning, as the additional depth data enables accurate reconstruction of facial geometry even when the camera-face distance is reduced, thereby maintaining measurement precision in compact configurations.
4Adaptability or versatility
If lighting conditions are varied to adapt to different environments, then adaptability improves, but imaging errors increase due to varying lighting conditions affecting image quality
Solution Approach 1:
The system dynamically adapts lighting conditions based on the detected environmental lighting situation. Rather than using fixed lighting, the control unit adjusts the intensity, direction, and color temperature of illumination sources in real-time to compensate for varying ambient conditions, ensuring consistent shadow-free illumination and maintaining high image quality across different environments.
Solution Approach 2:
The system changes lighting parameters such as intensity, spectral composition, and angular distribution based on detected environmental conditions. When ambient light varies, the illumination system adjusts its parameters to maintain optimal contrast and color accuracy, preventing imaging errors while preserving adaptability to different settings through controlled parameter modification.
Data Source
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AI summary
The invention relates to a device for determining a biometric feature of a person's face, comprising: a camera device (103) configured to provide image data for capturing images of a person's face; a 3D sensor device (120) configured to acquire digital measurement data relating to the spatial position of the person's head; and an evaluation and/or control device (108) connected to the camera device (103) and the 3D sensor device (120) for data exchange and configured to receive the image data from the camera device (103); to receive the digital measurement data from the 3D sensor device (120); and to determine, using the digital measurement data, the relative position of the camera device (103) and the person's face (110) relative to each other.to perform an error check to determine whether there is a deviation from a relative target position regarding the relative position of the camera device (103) and the person's face (110); and to determine a biometric feature for the face (110) using the image data, applying automatic data correction if the error check detects a deviation from the relative target position of the camera device and the person's face (110). Furthermore, a method for determining a biometric feature of a person's face is provided.