Iris Recognition Camera Guidance via Color Preview
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Solution Overview
Problem
Current iris recognition systems face challenges in user navigation, as the narrow view angle of IR cameras makes it difficult for users to position their head and eyes correctly, and lack automatic triggering of data capture, leading to a poor user experience and reliance on face or blink detection.
Innovation Solution
The system combines a narrow-view-angled infrared camera with a wide-field-of-view color camera to provide 3D navigation and automatic image capture, using the color camera's preview stream to guide the user into the IR camera's field of view and trigger image capture through face and eye detection logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a narrow view angled lens is used to obtain stable texture details of the iris, then the reliability and performance of iris recognition is improved, but it becomes difficult for users to navigate their head and eyes into the sensor's narrow viewable area
Solution Approach 1:
The patent introduces an intermediary display interface that maps the narrow IR camera field of view onto a larger display area. This allows users to see where they need to position their eyes through visual guidance cues, effectively mediating between the narrow sensor view and the user's natural field of regard.
Solution Approach 2:
The system adds a dimensional transformation by projecting the 2D IR camera field of view onto a larger 2D display surface with graphical indicators. This creates a virtual bridge that helps users understand the spatial relationship between their eye position and the narrow IR sensor field of view.
2Measurement precision
If an IR hand passing filter is used to get clear texture information of the iris, then the recognition accuracy is improved, but the system provides a bad user experience due to monochromatic images
Solution Approach 1:
The patent segments the imaging function into two separate camera systems: a color camera for user interface and guidance purposes, and an IR camera for actual iris texture capture. This allows each camera to optimize for its specific function without compromising the other.
Solution Approach 2:
The color camera acts as an intermediary that provides color visual feedback to users while the IR camera captures the actual iris data. This intermediary color camera system improves user experience without interfering with the IR camera's specialized texture capture capability.
3Extent of automation
If face detection or blink detection is implemented to enable automatic triggering, then the automation is improved, but the device complexity increases
Solution Approach 1:
The patent makes the color camera multi-functional by using it for both user interface display and as a detection camera for face and blink recognition. This eliminates the need for separate detection hardware while still achieving automatic triggering capability.
Solution Approach 2:
The system uses the color camera's preview stream to automatically detect when the user's eyes are properly positioned in the IR camera's field of view, and triggers capture without requiring additional sensors or complex external detection systems.
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
This approach simplifies user navigation and ensures high-quality iris image capture, enhancing the user experience and accuracy of iris recognition by automatically triggering image capture when the eyes are properly positioned.
Implementation Method 1
a second camera to capture an image of the body part
Implementation Method 2
a first camera to capture image data of a user's face
Data Source
AI summary
An iris or other object detection method and apparatus are disclosed. In one embodiment, the method comprises sending image data to a display of a device that is captured with a first camera of the device with an indication to guide a user to position a body part of the user with respect to the display while the image data is being sent to the display, providing feedback to the user to indicate to the user that the body part is in position so that an image of the body part can be captured by a second camera of the device, capturing an image of the body part with the second camera, and performing recognition on the body part using the image.