Multi-Sensor Intrusion Detection Using Dynamic Recognition
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Solution Overview
Problem
Current security systems for premises face challenges in accurately identifying authorized individuals due to factors like lighting and camera angles affecting facial recognition, and burdening users with multiple recognition mechanisms for every access attempt.
Innovation Solution
A multi-recognition mechanism system that uses a decision tree to selectively engage recognition mechanisms such as facial, voice, and biometric sensors, determining a confidence level to authorize access without requiring all mechanisms to be used every time, optimizing the sequence based on training data and user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple recognition mechanisms are used for every access attempt, then identification accuracy is improved, but user burden and operation time increase
Solution Approach 1:
The system dynamically adjusts the number and type of recognition mechanisms activated based on real-time confidence levels. When confidence is high, fewer mechanisms are required; when confidence is low, additional mechanisms are activated. This dynamic adaptation resolves the contradiction by making the system both accurate and user-friendly under different conditions.
Solution Approach 2:
The system changes the parameter of recognition mechanism activation based on confidence thresholds. The decision tree modifies which mechanisms are activated depending on the confidence level from previous mechanisms, allowing the system to maintain accuracy while reducing unnecessary user burden when high confidence is achieved.
2Reliability
If all recognition mechanisms are required for every access attempt, then identification reliability is improved, but access time and productivity decrease
Solution Approach 1:
The system applies partial action by requiring only the necessary number of recognition mechanisms based on confidence levels. When confidence is high, the system accepts partial verification; when confidence is low, it requires additional mechanisms. This resolves the contradiction by avoiding unnecessary verification steps while maintaining reliability when needed.
Solution Approach 2:
The dynamic decision tree adjusts the verification process in real-time based on confidence levels, allowing the system to maintain reliability without imposing fixed time requirements. The system adapts the number of mechanisms needed based on actual verification quality, optimizing access time.
3Ease of operation
If facial recognition is used alone, then ease of operation is improved, but measurement precision deteriorates due to lighting and camera angle factors
Solution Approach 1:
The system implements multi-functionality by combining facial recognition with other recognition mechanisms (voice, biometric, etc.) in a unified decision tree framework. This allows the system to maintain ease of use through primary facial recognition while compensating for its limitations with supplementary mechanisms when needed, resolving the contradiction between ease of operation and precision.
Data Source
AI summary
An embodiment of the present invention may include a system and method for intrusion detection of an unauthorized human. The embodiment may include a security device with a human presence detector, recognition mechanisms, and a computer coupled to the device over a network. The device may detect a human and notify the computer. In response, the computer may cause the device to collect and transmit recognition mechanism information. This may include causing the device to collect and transmit first information, determining a degree of match to each corresponding stored information associated with a human, and determining that a sufficient match does not exist. For each subsequent mechanism, the embodiment may include causing the device to collect and transmit the subsequent information, determining a degree of match, and in response to determining that the confidence level of the match is above the threshold, classifying the human as authorized.