Visual Recognition Notification Escalation
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Solution Overview
Problem
Users often face challenges in receiving effective notifications due to changing environments and locations, as neither the user nor the notifier may realize the most effective manner to notify the user, especially in situations where time is of the essence, such as urgent medical attention or risk of injury.
Innovation Solution
A notification escalation system that employs visual recognition using cameras to identify a user's status and generate tailored notification options, cyclically initiating notifications until acknowledgment is received or an acknowledgment-threshold time is exceeded, increasing the likelihood of effective notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional notification methods are used, then the notification can be sent, but the effectiveness of reaching the user is uncertain and may be wasted time
Solution Approach 1:
The system continuously monitors user status through camera images and adjusts notification delivery in real-time based on observed user behavior. When the user is detected as unresponsive to initial notifications, the system automatically escalates to alternative notification methods, creating a feedback-driven adaptive notification system that improves reliability while minimizing time loss.
Solution Approach 2:
The notification system dynamically adapts its behavior based on real-time user status detection. The system transitions between different notification strategies (standard delivery vs. escalation) based on whether the user is detected as responsive or unresponsive, making the system flexible and context-aware rather than static.
2Reliability
If multiple notification methods are tried, then the likelihood of reaching the user increases, but the system complexity increases
Solution Approach 1:
The notification system is segmented into distinct delivery methods (standard notification and escalated notification) that can be independently controlled. The escalation mechanism is separated as a conditional branch that activates only when needed, allowing the system to maintain simplicity for standard cases while providing enhanced capability when required.
Solution Approach 2:
Different notification strategies are applied locally based on specific conditions (user responsiveness). The system uses standard notification delivery for responsive users and escalates only for unresponsive users, applying complexity only where necessary rather than uniformly across all cases.
3Reliability
If the system continuously monitors user status, then notification effectiveness improves, but energy consumption increases
Solution Approach 1:
The system employs periodic status monitoring through camera images rather than continuous monitoring. The status check is triggered at specific intervals or events (such as when a notification is sent or a time threshold is reached), reducing energy consumption while maintaining effective user monitoring and notification delivery.
Data Source
AI summary
A method can include obtaining notification data for a user, and obtaining a first set of images of the user from one or more cameras. The method can include identifying a first status of the user, and generating a set of notification options based on the first status. The method can include selecting a first notification option, and initiating a first notification by the first notification option. The method can include determining that the user does not acknowledge the first notification, and obtaining a second set of images from the one or more cameras. The method can include identifying a second status of the user, and selecting a second notification option of the set of notification options. The method can include initiating a second notification by the second notification option.