Mobile Emergency Recording with Adaptive Bandwidth Management
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Solution Overview
Problem
Current emergency communication systems rely heavily on cellular signal triangulation for location identification, which is limited and do not effectively utilize a mobile device's full range of features, such as cameras, audio, and sensors, to provide comprehensive emergency support.
Innovation Solution
A method and apparatus that enable a mobile device to automatically initiate emergency recording sessions during a 911 call, using passive recording systems to capture continuous audio, video, and sensor data, which is then uploaded to a central server for analysis, with adaptive quality and bandwidth management to ensure efficient data sharing, and contextual sensor usage to preserve battery power and optimize data capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cellular signal triangulation is used for location identification, then the system can provide basic location information, but the system does not effectively utilize the mobile device's full range of features to provide comprehensive emergency support
Solution Approach 1:
The emergency application enables the mobile device to perform multiple functions simultaneously: capturing audio via microphone, recording video via camera, collecting location data via GPS, and transmitting all this diverse data through the communication interface to emergency services, thereby utilizing the device's full range of features for comprehensive emergency support
2Loss of information
If continuous audio, video, and sensor data are captured and uploaded, then comprehensive emergency information is provided to authorities, but device battery power is depleted rapidly
Solution Approach 1:
The system dynamically adjusts the capturing and uploading of data based on event severity determination. When a severe emergency is detected through analysis of captured content, the system continues comprehensive data collection and upload. When the event is determined to be non-severe, the system reduces data capture and transmission activities, thereby adapting energy consumption to the actual emergency needs
Solution Approach 2:
The system changes operational parameters such as data capture frequency, video resolution, and upload interval based on the determined event severity. This allows the device to conserve battery power during non-critical situations while maintaining full functionality when severe emergencies are detected
3Reliability
If high-quality data is prioritized for upload, then emergency response effectiveness is improved, but bandwidth consumption increases and data sharing efficiency decreases
Solution Approach 1:
The system applies different quality levels to different types of data based on their importance for emergency response. Critical data such as location information and audio alerts are transmitted with high quality and priority, while less critical data such as continuous video streams are transmitted at reduced quality or deferred, thereby improving overall data sharing efficiency while maintaining emergency response effectiveness
Data Source
AI summary
An example method of operation may include receiving an emergency request at an emergency server to establish a communication session from a user device, initiating an emergency application on the user device, receiving content from the user device, storing the content in a memory, and determining an event severity based on the content.