Face-Recognition Entry Monitoring for Unlocked Rooms
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Solution Overview
Problem
Existing systems fail to manage and record entries and exits into rooms where locks cannot be enforced due to facility operations, and lack a method for managing entries and exits into specific areas without relying on alarm cancellation.
Innovation Solution
An information processing apparatus that issues notifications upon detecting unregistered individuals approaching a location and deactivates notifications upon recognizing pre-registered individuals, using facial recognition to manage entries and exits, and records these events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face recognition is used to manage entry and exit, then unauthorized access is prevented, but it is not possible to manage or record entry into and exit from rooms where the entrance and exit cannot be locked
Solution Approach 1:
The system is designed to serve multiple functions: it can manage both locked and unlocked rooms, issue notifications for unauthorized access attempts, and record entry/exit data for statistical analysis. This multi-functionality allows the same face recognition system to be universally applied across different room types regardless of their locking status.
Solution Approach 2:
The system introduces an intermediary notification mechanism that acts as a mediator between the face recognition detection and the physical access control. When an unregistered person is detected, the system issues a notification (alarm, message, etc.) as an intermediary response, and can subsequently deactivate it when a registered person is detected, thereby managing access control through software-based intermediaries rather than relying solely on physical locks.
2Object-affected harmful factors
If notifications are issued for unregistered persons, then unauthorized access is alerted, but false alarms occur when registered persons are not properly recognized
Solution Approach 1:
The system implements a feedback mechanism where the notification state is dynamically adjusted based on continuous face recognition results. When a registered person is detected after an unregistered person was initially detected, the system provides feedback by deactivating the notification, thereby correcting potential false alarms and improving notification accuracy through continuous monitoring and response adjustment.
Solution Approach 2:
The system performs preliminary face recognition and registration verification before issuing notifications. By pre-establishing the registered persons database and performing initial verification, the system reduces the likelihood of false alarms and ensures that notifications are issued only when there is genuine evidence of unauthorized access attempts.
3Measurement precision
If continuous monitoring is performed to ensure accurate entry and exit management, then record accuracy is improved, but system complexity and processing time increase
Solution Approach 1:
The system extracts and focuses monitoring efforts on critical events only - specifically when unregistered persons are detected or when registered persons are identified for notification deactivation. Rather than continuously analyzing all video data, the system extracts and processes only the relevant frames and events, thereby maintaining high record accuracy while reducing overall system complexity and processing requirements.
Data Source
AI summary
There is provided a method including instructing a notification apparatus to issue a notification in a case where a video image capturing an entrance of a specific location includes an unregistered person moving toward the specific location, and deactivating the notification by the notification apparatus in a case where a video image capturing the specific location includes a pre-registered person.