AI Danger Alert System Using Personalized Audio Warnings
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Home automation systems struggle to effectively engage unsupervised individuals, such as children, in potentially dangerous situations by providing attention-grabbing warnings that are tailored to their specific needs and profiles.
Innovation Solution
A system that uses cameras and sensors to detect unsupervised individuals and assess danger levels, providing personalized audio warnings in a caregiver's voice, adjusting volume, tone, and direction based on the individual's profile and movement, and initiating distractions if necessary to divert their attention away from hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional warning systems are used to alert unsupervised individuals of danger, then safety warnings are provided, but the warnings fail to engage the attention of the individuals
Solution Approach 1:
The system delivers warnings with spatial specificity by directing audio warnings toward the trajectory of movement of the target person. The warning location is selected based on the person's movement pattern, creating a localized warning effect that follows the person through space rather than using a fixed warning position.
Solution Approach 2:
The system dynamically adjusts warning parameters including volume, tone of voice, and direction based on real-time assessment of danger level and target person profile. The audio warning characteristics change dynamically rather than remaining static, adapting to the evolving situation and individual characteristics.
2Reliability
If generic warning messages are provided to unsupervised individuals, then safety alerts are delivered, but the warnings are not tailored to individual needs and profiles
Solution Approach 1:
The system applies different warning characteristics to different individuals based on their profiles. Each target person receives warnings customized to their specific characteristics, creating a personalized warning approach rather than a uniform message for all individuals.
Solution Approach 2:
The system modifies multiple parameters of the audio warning including content, volume, tone of voice, and direction based on the target person's profile and the assessed danger level. These parameter changes enable personalization of warnings to match individual needs and characteristics.
3Reliability
If the system monitors and responds to every boundary crossing by unsupervised individuals, then comprehensive safety coverage is achieved, but the system cannot distinguish between dangerous and non-dangerous situations
Solution Approach 1:
The system performs preliminary assessment of the target person and the object before generating warnings. It identifies the target person, assesses their profile, evaluates the danger level associated with the object, and determines appropriate warning parameters in advance of actual boundary crossing events.
Solution Approach 2:
The system continuously monitors the target person's movement with respect to the boundary and provides feedback by adjusting warning characteristics based on the assessed danger level and observed behavior. This feedback loop enables the system to distinguish between different situations and respond appropriately.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method including assessing a danger level associated with an object; locating a target person and a caregiver; monitoring movement of an unsupervised target person relative to a boundary around the object; and providing a warning in a caregiver's voice if the person crosses the boundary. A content and volume of the warning, a direction of the warning with respect to a trajectory of movement of the person, and a tone of voice of the warning can be selected according to the danger level and a profile of the person. The method also includes initiating a distraction procedure directed to the person according to the profile; the distraction can include an audio message directing attention of the person to another object. Other embodiments are disclosed.


