CT Patient Identity Verification Using Face and Voice Confirmation
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Solution Overview
Problem
In CT scanning, doctors face challenges in accurately determining the identity of patients due to high workloads, leading to incorrect scanning programs and potential diagnosis delays.
Innovation Solution
A method and system utilizing facial recognition and natural language processing to verify patient identity, involving facial image analysis through a convolutional neural network and voice dialogue, ensuring accurate identity confirmation before scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual identity verification by operator is used, then system complexity is low, but identity determination accuracy deteriorates due to high workload and lack of concentration
Solution Approach 1:
The system enables automatic identity verification through facial recognition and voice dialogue technologies, allowing the verification process to perform itself without requiring continuous operator attention. The facial recognition module automatically compares captured images with database records, and the voice dialogue module autonomously conducts identity confirmation conversations, freeing operators from manual verification tasks while maintaining high accuracy.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated technological systems. Specifically, facial recognition algorithms substitute for visual inspection by operators, and natural language processing systems replace conversational verification. This substitution eliminates human factors such as fatigue and concentration issues while maintaining or improving verification reliability.
2Reliability
If automated facial recognition and voice dialogue verification is implemented, then identity determination accuracy improves, but operator workload and system complexity increase
Solution Approach 1:
The verification system performs automatic identity confirmation through facial recognition and voice dialogue without requiring operator intervention in the verification process itself. The system captures images, processes them through recognition algorithms, conducts voice conversations, and makes determination decisions autonomously, making operations simpler for staff while improving accuracy.
Solution Approach 2:
The system performs identity verification actions before the scanning process begins. Facial images are captured and processed in advance, voice dialogues are conducted prior to scanning, and verification results are obtained beforehand. This preliminary verification ensures accuracy is established before operations commence, simplifying the overall workflow.
3Reliability
If dual verification methods (facial recognition and voice dialogue) are used, then identity determination reliability improves, but processing time and system complexity increase
Solution Approach 1:
The system performs facial image capture and voice dialogue verification in parallel before the scanning process begins. Both verification methods are executed in advance, and their results are integrated to make a final determination. This preliminary execution of both verification methods prevents time loss during the actual scanning process while maintaining high reliability through dual-method confirmation.
Solution Approach 2:
The patent combines facial recognition and voice dialogue verification into an integrated identity confirmation system. Both methods work together synergistically, with their results merged to make a comprehensive determination. This merging approach enhances reliability by cross-validating identity through multiple modalities while streamlining the overall verification process.
Data Source
AI summary
Techniques are provided for determining an identity of a scanned person in computed tomography (CT) scanning is provided. The techniques include the use of a system for assisting in determining an identity of a scanned person in CT scanning and a CT scanner.