Adaptive Safety Alerting System for Proximity Risks
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Solution Overview
Problem
Users interacting with electronic devices, such as taking selfies in dangerous locations, often lack awareness of their surroundings, leading to potential harm or death, necessitating a system to alert them of risks.
Innovation Solution
A method and system that utilize sensor data to determine environmental factors, user activity, and objects in proximity, generating an aggregate safety degree based on adaptive thresholds and predefined rules, and alerting the user to potential dangers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with electronic devices in public spaces, then device functionality is utilized, but user awareness of surroundings deteriorates leading to safety risks
Solution Approach 1:
The system performs preliminary safety assessment by continuously monitoring environmental factors, user activity, and device motion before dangerous situations occur. It proactively identifies potential hazards and alerts users in advance, enabling them to take preventive action before accidents happen.
Solution Approach 2:
The system implements continuous feedback by monitoring sensor data from the environment, user behavior, and device motion, then providing real-time alerts when safety thresholds are exceeded. This closed-loop feedback mechanism enables dynamic adjustment of safety monitoring based on changing conditions.
2Measurement precision
If the system monitors multiple environmental factors and user activities, then safety detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments safety monitoring into distinct modules: environmental factor monitoring, user activity recognition, device motion tracking, and risk assessment. Each module independently processes specific aspects of safety, making the overall system more manageable and maintainable while achieving comprehensive monitoring.
Solution Approach 2:
The system uses a multi-functional approach where a single integrated platform performs diverse safety monitoring tasks including environmental sensing, activity recognition, motion tracking, and alert generation. This universal system replaces multiple separate monitoring tools, reducing overall complexity while maintaining comprehensive coverage.
3Measurement precision
If the system generates alerts based on multiple safety parameters, then alert accuracy is improved, but false alarm rate may increase
Solution Approach 1:
The system dynamically adjusts safety thresholds and alert criteria based on contextual information from environmental factors, user activity patterns, and device usage context. This dynamic adaptation allows the system to differentiate between normal variations and genuine safety hazards, reducing false alarms while maintaining high alert accuracy.
Solution Approach 2:
The system changes monitoring parameters and alert thresholds based on the specific context detected through sensor data analysis. Different safety parameters are weighted and adjusted according to the current situation, enabling the system to maintain optimal alert accuracy across diverse scenarios while minimizing false positives.
Data Source
AI summary
In one embodiment, a system, comprising a processor and a memory, for alerting a user, is disclosed. The processor receives one or more sensor data. The processor further determines one or more environmental factors, a current activity of the user, one or more motion data and one or more objects in proximity to the user based on the one or more sensor data. The processor further generates an initial degree of safety for each of the one or more environmental factors, the current activity of the user, the one or more motion data of the electronic device and the one or more objects in proximity to the user based on dynamically adaptive thresholds. The processor further generates an aggregate degree of safety based on the initial degree of safety and one or more pre-defined rules. The processor further alerts the user based on the aggregate degree of safety.