3D Body Modeling with Iris and Facial Data for Reliable Identification
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Solution Overview
Problem
Biometric identification systems face performance fluctuations due to varying environmental conditions, such as light levels, affecting the reliability of personal identification.
Innovation Solution
A method and device that capture and evaluate iris, facial, and body measurement data using integrated or separate illumination and sensor devices, generating digital three-dimensional body models to enhance identification reliability by comparing biometric feature data with reference data, considering environmental conditions like lighting and clothing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single biometric data type is used for identification, then the system is simple to operate, but the reliability of identification decreases under varying environmental conditions
Solution Approach 1:
The identification system is segmented into multiple independent biometric data capture modules (iris, facial, body) that can independently capture different types of biometric data. This segmentation allows the system to collect diverse biometric information without creating a single complex monolithic system, thereby improving reliability while managing complexity through modular design.
Solution Approach 2:
Multiple different biometric data types (iris, facial, body) are merged into a single integrated identification system. The evaluation device combines and evaluates all captured biometric data together, creating a comprehensive identification approach that significantly improves reliability under varying environmental conditions compared to using any single biometric type alone.
2Measurement precision
If multiple biometric data types are captured and evaluated, then identification accuracy improves, but the device complexity increases
Solution Approach 1:
The detection device is segmented into specialized sub-devices for capturing different biometric data types (iris data, facial data, body data). Each sub-device is optimized for its specific function, which improves measurement precision for each biometric type while managing overall device complexity through functional segmentation and modular architecture.
3Adaptability or versatility
If environmental conditions vary (light levels, clothing), then single biometric systems fail, but multi biometric systems require complex adaptive reference data
Solution Approach 1:
The reference data system is designed with multi-functionality to handle diverse environmental conditions. It stores and manages multiple types of reference data (iris reference, facial reference, body reference) that can be adaptively selected and combined based on current environmental conditions, making the system universally adaptable to various lighting, clothing, and environmental scenarios without requiring completely separate systems for each condition.
Data Source
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AI summary
The invention relates to a method for biometrically identifying a person, comprising: providing a biometric detection device; acquiring biometric measurement data by means of the detection device, which displays iris measurement data for the iris of a person to be identified, as well as facial measurement data for the face and body measurement data for at least one body segment of the person to be identified, wherein the body measurement data are suitable for determining a digital three-dimensional body model for at least the body segment of the person to be identified; providing an evaluation device that receives the biometric measurement data; determining the digital three-dimensional body model for at least the body segment by means of the evaluation device;Determining biometric feature data from the biometric measurement data using the evaluation device, which includes: iris data showing iris features for the person to be identified; facial data showing facial features for the person to be identified; and body data determined using the digital three-dimensional body model, showing body features for at least that body segment that are different from the iris and facial features; providing biometric reference data assigned to the person to be identified, showing iris reference features, facial reference features, and body reference features; and identifying the person to be identified by comparing the biometric feature data with the biometric reference data. Furthermore, an access control device and a device for biometrically identifying a person are provided.