Vehicle Onboard Sensor Detection for Verified Emergency Reporting
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Solution Overview
Problem
Emergency events such as fires, car accidents, and human injuries often go unnoticed or misidentified, leading to delayed response from authorities due to lack of immediate detection and inaccurate human reporting, which can result in injury or death and wastage of resources.
Innovation Solution
Systems and methods for vehicles to automatically detect events using onboard sensors and machine learning models, verifying the detection before reporting to authorities through a server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If manual observation and reporting by humans is used, then the system is simple to implement, but the detection speed and accuracy are insufficient leading to delayed emergency response
Solution Approach 1:
The patent replaces manual observation and reporting mechanisms with automated sensor-based detection systems. Sensors continuously monitor the environment and automatically detect emergencies, eliminating the need for human observation. This substitution dramatically increases detection speed while the automated processing reduces the complexity of coordination and response management.
Solution Approach 2:
The system enables self-service detection where sensors and processing algorithms autonomously identify emergencies without human intervention. The automated system performs detection, analysis, and alerting functions independently, achieving rapid response speeds while maintaining manageable system complexity through standardized protocols.
2Measurement precision
If manual reporting is used, then the system is easy to operate, but the accuracy of event information is low causing false alarms and resource wastage
Solution Approach 1:
The patent segments the detection system into multiple specialized sensors (e.g., audio sensors, video sensors, impact sensors) that each monitor specific parameters. This segmentation allows each sensor to focus on its designated function, improving overall detection accuracy while keeping individual sensor complexity manageable. The segmented approach also enables modular system design.
Solution Approach 2:
The system implements feedback mechanisms where sensor data is continuously analyzed and cross-validated. Detection algorithms process sensor inputs and provide feedback to confirm or refute potential emergency detections. This feedback loop significantly improves detection accuracy by reducing false positives while maintaining systematic complexity through automated validation processes.
3Reliability
If human observation is relied upon, then no additional equipment is needed, but emergencies may go unnoticed resulting in delayed response and potential injury or death
Solution Approach 1:
The patent employs universal sensor platforms that can detect multiple types of emergencies through different sensor modalities. A single sensor system can detect fires, accidents, medical emergencies, and other events by processing data from various sensor types. This multi-functionality approach increases detection reliability across diverse emergency scenarios while avoiding the need for separate specialized systems for each emergency type.
Solution Approach 2:
The system implements continuous monitoring through always-active sensors that constantly scan the environment for emergencies. Unlike intermittent human observation, the automated sensor system maintains uninterrupted detection coverage, ensuring no emergency goes unnoticed. This continuous operation significantly improves reliability while the automated nature keeps system complexity manageable through standardized continuous monitoring protocols.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates timely and accurate event detection and reporting, reducing false alarms and conserving resources by ensuring immediate and precise alerting of authorities.
Implementation Method 1
The sensor device may include an infrared sensor that detects an object having a temperature greater than a threshold temperature
Implementation Method 2
The sensor device may include a LiDAR sensor that detects a collision between the vehicle and a pedestrian
Implementation Method 3
The sensor device may include an audio sensor that detects whether a predetermined keyword is included in audio data or whether a sound level of audio data is greater than a threshold sound level
Data Source
AI summary
Provided are method, system, and device for detection and reporting of events. The method may be implemented by programmed one or more processors in a vehicle, and may include: obtaining sensor data from at least one sensor device on the vehicle; processing the obtained sensor data to determine whether a predetermined event outside of the vehicle has occurred; and based on the predetermined event being determined to have occurred, transmitting information corresponding to the predetermined event to a server.