Smart Listening Device Network for Autonomous Vehicle Emergency Response
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Solution Overview
Problem
Existing home security systems face challenges in efficiently detecting and responding to monitored events, particularly in areas where smart devices lack internet connectivity, and there is a need for cost-effective solutions that enhance response times and resource deployment.
Innovation Solution
A smart listening device (SLD) is integrated with autonomous vehicles to form a cluster that detects alerting events and executes responsive actions, including autonomous vehicle relocation, using a distributed controller and communication circuit to coordinate with other SLDs and vehicles, enabling centralized and coordinated responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart alarm devices are used to enable remote communication and internet connectivity, then detection and response capabilities are improved, but device cost increases significantly
Solution Approach 1:
The patent combines multiple smart alarm devices into a networked system where devices can share resources and communicate with each other. This allows cost-effective individual devices to achieve enhanced collective capabilities through networking, reducing the need for each individual device to have expensive standalone features.
Solution Approach 2:
The smart alarm devices are designed to perform multiple functions including local acoustic signature detection, network communication, and coordination with other devices and vehicles. This multi-functionality allows a single device to replace what would otherwise require multiple separate systems, reducing overall system cost.
2Loss of time
If autonomous vehicles are deployed for rapid emergency response, then response time is reduced, but system complexity and deployment cost increase
Solution Approach 1:
The system pre-establishes communication links and coordination protocols between smart alarm devices and autonomous vehicles before emergencies occur. Vehicles are pre-positioned and pre-configured to respond to specific alarm types, enabling rapid activation without complex real-time decision-making during emergencies.
Solution Approach 2:
The system implements continuous monitoring and feedback mechanisms where alarm devices detect events, communicate with the network, and trigger appropriate vehicle responses. The feedback loop includes verification of alarm authenticity and coordination of multiple vehicles, reducing false activations and optimizing resource deployment.
Data Source
AI summary
Neighborhood monitoring is performed by configuring a cluster server within a public network to maintain a cluster directory identifying cluster members including a neighborhood of smart listening devices and user vehicles. The neighborhood includes a cluster of dwellings, and the user vehicles includes an autonomous vehicle. The surroundings of the smart listening devices and the user vehicles are monitored using sensors in the smart listening devices and the user vehicles. When an alerting event is detected with one of the sensors, a corresponding one of the smart listening devices and the user vehicles that detected the alerting event initiates a message to another cluster member based on the cluster directory. A responsive action is executed in response to the detected alerting event which includes commanding the at least one autonomous vehicle to autonomously relocate to a designated location.