Infrared Iris Scanning with Reduced Field-of-View Search
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Solution Overview
Problem
Existing scanning technologies face challenges in efficiently reducing the field of view search space for identifying features, particularly in environments with distracting backgrounds, which can lead to increased processing time and reduced accuracy in user authentication.
Innovation Solution
A scanning apparatus equipped with infrared emitters and an image sensor, controlled by a processor that captures and compares images before and after illumination, determines a set of pixels with changes to focus on the user's identifying features, such as the iris, by subtracting background elements, thereby reducing the processing workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire field of view is processed for user identification, then comprehensive coverage is achieved, but processing time increases and accuracy decreases due to distracting backgrounds
Solution Approach 1:
The patent segments the field of view into multiple regions of interest (ROIs) based on preliminary detection. Instead of processing the entire field of view, the system divides it into smaller segments and processes only those segments that contain potential identifying features. This segmentation reduces the computational burden and processing time while maintaining identification accuracy by focusing resources on relevant areas.
Solution Approach 2:
The patent extracts and isolates potential identifying features from the distracting background by using image processing techniques to separate the subject of interest from the surrounding environment. This extraction process removes irrelevant background elements that would otherwise interfere with accurate identification, allowing the system to focus computational resources on the actual identifying features.
2Measurement precision
If the entire field of view is processed for user identification, then comprehensive coverage is achieved, but processing complexity increases
Solution Approach 1:
The patent segments the field of view into multiple regions of interest (ROIs) based on preliminary detection. Instead of processing the entire field of view, the system divides it into smaller segments and processes only those segments that contain potential identifying features. This segmentation reduces the computational burden and processing time while maintaining identification accuracy by focusing resources on relevant areas.
Solution Approach 2:
The patent performs preliminary actions by conducting initial image processing and detection to identify potential regions of interest before performing the main identification task. This preliminary step prepares the data by pre-processing images, detecting potential features, and marking areas that require further analysis, thereby simplifying the subsequent complex processing and reducing overall computational complexity.
3Measurement precision
If the entire field of view is processed for user identification, then comprehensive coverage is achieved, but processing efficiency decreases
Solution Approach 1:
The patent segments the field of view into multiple regions of interest (ROIs) based on preliminary detection. Instead of processing the entire field of view, the system divides it into smaller segments and processes only those segments that contain potential identifying features. This segmentation reduces the computational burden and processing time while maintaining identification accuracy by focusing resources on relevant areas.
Solution Approach 2:
The patent performs preliminary actions by conducting initial image processing and detection to identify potential regions of interest before performing the main identification task. This preliminary step prepares the data by pre-processing images, detecting potential features, and marking areas that require further analysis, thereby simplifying the subsequent complex processing and reducing overall computational complexity.
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 effectively reduces the field of view search space, enhances processing efficiency, and improves the accuracy of user authentication by isolating the user's identifying features from background elements, facilitating secure and efficient access control.
Implementation Method 1
one or more infrared emitters
Data Source
AI summary
The disclosure provides for a scanning apparatus. The scanning apparatus may be configured to capture identifying information of a user and may comprise one or more infrared emitters, at least one image sensor configured to capture image data in a field of view, and a controller in communication with the scanning apparatus. The controller may be configured to activate the one or more infrared emitters, control the at least one image sensor to capture a first image in the field of view, deactivate the one or more infrared emitters, and control the at least one image sensor to capture a second image in the field of view.