Image Processing Apparatus Authentication Using Human-Sensor Feedback
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Solution Overview
Problem
Existing user authentication methods in image processing systems fail to adapt dynamically to the surrounding environment, leading to potential misuse of user authentication information due to static security settings, especially in public areas with varying populations.
Innovation Solution
An information processing system that utilizes human sensors to detect the presence and situation of individuals around an image processing apparatus, dynamically switching authentication methods based on the detected information to maintain appropriate security levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static authentication methods are used, then device complexity is reduced, but security reliability deteriorates in public areas with varying populations
Solution Approach 1:
The patent implements dynamic authentication by switching between different authentication methods (first authentication method for low-risk environments, second authentication method for high-risk environments) based on real-time detection of surrounding persons. The processor determines the number of persons around the apparatus and dynamically selects the appropriate authentication method, making the security system adaptive rather than static.
Solution Approach 2:
The system uses human sensors to detect the number of persons around the apparatus and feeds this information back to the processor. Based on this feedback, the processor adjusts the authentication method accordingly - using simpler authentication when fewer persons are present and more stringent authentication when more persons are present, creating a closed-loop adaptive security system.
2Reliability
If authentication methods adapt to surrounding environment, then security reliability improves, but device complexity increases
Solution Approach 1:
The patent introduces human sensors as intermediary devices that detect the number of persons around the apparatus and transmit this information to the processor. This intermediary component handles the complex detection and measurement tasks, allowing the main authentication system to remain relatively simple while still achieving adaptive security through the sensor-mediated environment assessment.
3Adaptability or versatility
If multiple authentication methods are prepared, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent segments the authentication process into two distinct authentication methods: a first authentication method for low-risk environments and a second authentication method for high-risk environments. Each authentication method is designed and managed independently, allowing the system to switch between them based on environmental conditions without requiring a completely new authentication framework.
Solution Approach 2:
The system changes the authentication parameter (which authentication method to use) based on the detected number of surrounding persons. When the number of persons exceeds a threshold, the system switches from the first authentication method to the second authentication method, and vice versa. This parameter-based switching enables adaptability while maintaining manageable system complexity through clear conditional logic.
Data Source
AI summary
An information processing system includes one or a plurality of processors configured to: acquire staying person information regarding a staying person standing around an apparatus; and select a specific authentication method used when the apparatus authenticates a user in accordance with the staying person information, from a plurality of authentication methods.