Mobile Emergency Notification via AI Packet Analysis
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Solution Overview
Problem
Current communication technologies fail to notify family members or designated individuals in a user's home country when an emergency call is made from a mobile device while roaming in a foreign country.
Innovation Solution
Implementing AI/ML models on mobile devices and carrier network systems to analyze packet data, audio, and location information to detect emergency calls and suspicious movements, and send high-priority notifications to designated contacts via OTT messaging, ensuring delivery despite network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional emergency calling systems are used while roaming in foreign countries, then the mobile device can place emergency calls to local emergency services, but family members or designated individuals in the home country are not notified of the emergency situation
Solution Approach 1:
The patent introduces an intermediary notification system that bridges the gap between emergency callers abroad and their contacts at home. When an emergency call is detected (through packet analysis of emergency numbers like 911, 112), the system automatically sends notifications via multiple channels (SMS, email, push notifications) to designated contacts, ensuring information reaches home without requiring direct communication infrastructure between the roaming device and home contacts
Solution Approach 2:
The system performs preliminary actions by pre-configuring emergency notification contacts and preferences before the user travels abroad. The notification system is already set up with contact lists, notification methods, and routing information, allowing immediate automated notification when an emergency is detected, without requiring any setup or intervention during the emergency situation
2Speed
If high-priority emergency notifications are sent through carrier networks and ISPs, then emergency alerts can be delivered quickly to contacts, but network congestion may cause message dropping
Solution Approach 1:
The notification system segments the delivery process by using multiple independent communication channels simultaneously (SMS, email, push notifications, voice calls). Instead of relying on a single network path that may be congested, the notification is divided and sent through parallel channels, ensuring that at least one delivery method succeeds even if others fail due to network congestion
Solution Approach 2:
The system implements beforehand cushioning by implementing retry logic and alternative delivery paths in advance. If a notification fails to deliver through the primary channel, the system automatically attempts alternative channels or retries the failed channel, providing a cushion against network congestion and message dropping before the notification is completely lost
3Measurement precision
If AI/ML models are deployed on mobile devices and carrier networks to analyze packets, audio, and location data, then emergency detection accuracy is improved, but system complexity and computational requirements increase
Solution Approach 1:
The AI/ML processing is segmented and distributed across multiple components: the mobile device performs local packet analysis and basic pattern recognition, the carrier network performs additional analysis on aggregated data, and cloud-based systems perform complex ML inference. This segmentation allows each component to use appropriate computational resources without requiring the entire system to be complex, reducing overall system complexity while maintaining high detection accuracy
Data Source
AI summary
Foreign emergency notification, activity notification, and suspicious movement detection for mobile devices are disclosed. An application running on a mobile device of a user may be used to automatically detect when a call is made to emergency services in a foreign country, when an issue or unpermitted behavior may be occurring, when the mobile device has moved to an anomalous or unpermitted location and/or is moving with an unexpected speed, etc. The application then notifies family members and/or other contacts in the user's home country via a domestic carrier network. An over-the-top Internet Protocol (IP) message can be sent by the application on the mobile device back to the home network core.