Monitoring System for Co-working Space Security
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Solution Overview
Problem
Existing monitoring systems fail to effectively reduce the risk of confidential information leakage when a user leaves their belongings unattended in a co-working space.
Innovation Solution
A monitoring system that includes an imaging section to capture images of users and their belongings within a predetermined range, and a hardware processor to detect when a user has left their belongings and if another person is approaching them, triggering a notification to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a conventional package monitoring system is used, then forgotten items can be detected, but confidential information leakage cannot be prevented when users leave belongings unattended in co-working spaces
Solution Approach 1:
The monitoring system is segmented into multiple functional detection modules: user presence detection, belongings detection, movement detection, and approach detection. Each module independently monitors specific aspects, allowing comprehensive security monitoring that prevents confidential information leakage while avoiding false alarms from conventional single-function systems.
Solution Approach 2:
The system performs preliminary detection of user absence and belongings presence before potential information leakage occurs. By continuously monitoring and detecting the state of belongings before unauthorized approach, the system enables preventive notification to users, allowing them to retrieve their items before confidential information can be accessed.
2Reliability
If continuous monitoring of belongings is implemented, then security is improved, but system complexity increases
Solution Approach 1:
The imaging section serves multiple functions: capturing images for user presence detection, belongings detection, movement detection, and approach detection. This multi-functional design improves security monitoring effectiveness while avoiding the complexity of multiple separate devices, as one imaging section performs all necessary detection tasks through software processing.
Solution Approach 2:
The hardware processor acts as an intermediary that processes images from the imaging section and coordinates detection across multiple functions. It manages the complexity by centrally processing visual data and controlling notification timing, simplifying the overall system architecture while maintaining comprehensive security monitoring capabilities.
3Loss of time
If immediate notification is sent when belongings are detected, then user response time is reduced, but false alarms increase
Solution Approach 1:
The system performs preliminary detection of multiple conditions (user absence, belongings presence, movement occurrence, approach detection) before sending notifications. This preliminary verification ensures that notifications are sent only when actual security risks exist, preventing false alarms while maintaining rapid user response time through efficient multi-condition assessment.
Solution Approach 2:
The system continuously monitors the state of belongings and user presence, creating a feedback loop that updates detection results in real-time. This feedback mechanism allows the system to distinguish between legitimate security concerns and false alarm conditions, sending notifications only when actual threats are detected while maintaining fast response times through continuous monitoring.
Data Source
AI summary
A monitoring system includes: an imaging section that captures an image of a user present within a predetermined imaging range and belongings of the user; and a hardware processor performs: detecting that the user has left the belongings based on the image captured by the imaging section; detecting that another person different from the user has approached the belongings; and notifying the user when it is detected that the user has left the belongings and it is detected that another person different from the user has approached the belongings.