Vehicle Occupant Alert Sensing for In-Cabin Hazard Detection
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Solution Overview
Problem
Existing vehicle safety features fail to accurately and efficiently detect and address adverse conditions for living beings left inside vehicles, relying on conscious engagement from owners and prone to errors or failures.
Innovation Solution
An alert system integrated with vehicles, using sensors to detect living beings and environmental factors, determining alert conditions, and taking responsive actions such as adjusting vehicle components and alerting remote devices to mitigate dangers and ensure safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing vehicle safety features are used, then basic safety monitoring is provided, but accuracy and efficiency in detecting adverse conditions deteriorates
Solution Approach 1:
The patent combines multiple sensor types (motion sensors, temperature sensors, humidity sensors, atmospheric pressure sensors) into an integrated alert system that monitors multiple environmental parameters simultaneously. This merging of detection capabilities improves measurement precision while maintaining system reliability through redundant monitoring pathways.
Solution Approach 2:
The alert system is designed to monitor multiple different adverse conditions (temperature extremes, humidity levels, atmospheric pressure changes, motion patterns) using a single integrated platform. This multi-functional approach enhances detection accuracy across various hazard types while improving overall system reliability through diversified detection methods.
2Reliability
If manual monitoring by vehicle owners is required, then system complexity is reduced, but safety effectiveness deteriorates due to lack of conscious engagement
Solution Approach 1:
The system automatically detects adverse conditions and triggers alerts without requiring vehicle owners to manually monitor or activate safety features. The motion sensors, environmental sensors, and processing unit work autonomously to assess conditions and notify owners, eliminating the need for conscious engagement while maintaining high safety effectiveness.
Solution Approach 2:
The system continuously monitors environmental parameters and provides real-time feedback to vehicle owners through automated alerts when adverse conditions are detected. This feedback mechanism ensures timely awareness of hazards without requiring manual checking, improving safety effectiveness while managing complexity through automated decision-making algorithms.
3Measurement precision
If simple detection methods are used, then device complexity is reduced, but measurement precision of environmental conditions deteriorates
Solution Approach 1:
The system divides environmental monitoring into multiple specialized sensor components, each dedicated to detecting specific parameters (motion, temperature, humidity, atmospheric pressure). This segmentation allows each sensor to be optimized for its specific measurement task, improving overall measurement precision while managing complexity through modular architecture.
Solution Approach 2:
Different sensor types are strategically placed within the vehicle interior to capture local environmental conditions accurately. The system uses location-specific measurements (e.g., temperature near the driver's seat, humidity in the cabin) to assess adverse conditions, improving measurement precision by matching sensor placement with hazard detection requirements.
Data Source
AI summary
An example method is disclosed, the method comprising: (i) detecting, via a first sensor of an alert system configured for use with a vehicle, a living being inside the vehicle; (ii) measuring, via a second sensor, an environmental feature inside the vehicle; (iii) based at least on the detection of the living being and the measured environmental feature, determining, an alert condition inside the vehicle; (iv) selecting a first computational action based at least on the determined alert condition; (v) transmitting an instruction that causes a component of the vehicle to perform the selected first computational action; (vi) selecting a second computational action based at least on the determined alert condition; and (vii) transmitting, via a network interface, to at least one computing device that is remote from the alert system, an instruction that causes at least one remote computing device to perform the selected second computational action.