Humanoid Robot Hand Vein Pattern Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous humanoid robots lack a natural and user-friendly authentication method, making them vulnerable to theft and compromising owner privacy, as existing authentication techniques require external devices and are not intuitive for human-robot interaction.
Innovation Solution
A humanoid robot equipped with a right hand capable of shaking hands, featuring near infrared light emitting and sensing technology to capture and compare vein patterns, allowing for natural and secure personal identification and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication is performed using external authentication devices as in personal computers, then security against theft is improved, but the naturalness of human-robot communication deteriorates
Solution Approach 1:
The patent merges the authentication function with the handshake function by integrating a vein pattern recognition device into the robot's hand. This allows the robot to perform both social interaction (handshake) and security authentication (vein pattern recognition) through a single unified action, eliminating the need for separate authentication devices and maintaining natural communication while ensuring security.
Solution Approach 2:
The hand of the robot is designed to serve multiple functions: it can shake hands for social interaction, grasp objects for manipulation, and simultaneously perform authentication by reading vein patterns. This multi-functionality resolves the contradiction by making the authentication process as natural as a regular handshake while maintaining security.
2Ease of operation
If authentication is performed through natural handshake motion, then ease of operation is improved, but security against theft deteriorates
Solution Approach 1:
The patent replaces mechanical authentication methods (such as physical keys or card swiping) with a biological recognition system that reads vein patterns using near-infrared light. This substitution maintains the naturalness of the handshake motion while significantly enhancing security, as vein patterns are unique to each individual and difficult to replicate.
Solution Approach 2:
The patent changes the parameter of authentication from external device-based to biological feature-based. By using vein pattern recognition instead of mechanical authentication, the system achieves both user friendliness (natural handshake) and high security (unique biological identification).
3Adaptability or versatility
If vein pattern recognition is integrated in the hand, then device complexity is increased, but authentication functionality is improved
Solution Approach 1:
The patent introduces an intermediary component (vein pattern reading device) that bridges the gap between the mechanical handshake function and the authentication function. This intermediary enables the hand to perform both social interaction and security verification without requiring completely separate systems, thus managing complexity while enhancing functionality.
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
The robot can inhibit theft and enhance human-robot communication by using a natural handshake motion for identification, ensuring secure owner authentication and maintaining privacy through vein pattern recognition.
Implementation Method 1
a near infrared light emitting device and a near infrared sensor which are installed in the right hand and located in such positions that, while the right hand is shaking the hand of the human being, near infrared light emitted from the near infrared light emitting device irradiates the inside of the hand of the human being
Implementation Method 2
near infrared light emitted from the near infrared light emitting device irradiates the inside of the hand of the human being and is detected by the near infrared sensor as a vein pattern
Data Source
AI summary
A humanoid robot capable of identifying an individual in a natural way is described. This humanoid robot shakes a hand of a person to acquire biological information of the person and identify the individual person. Particularly, a near infrared light emitting device and a near infrared sensor are installed in a hand of the humanoid robot to irradiate a hand of a human being with near infrared light emitted from the near infrared light emitting device and detect a vein pattern by the near infrared sensor. The individual person can be identified by recording and collating this vein pattern.