Neighborhood Safety Assessment via Sensor Data Integration
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Solution Overview
Problem
Individuals moving to new areas lack accurate, real-time, and reliable information about neighborhood safety parameters such as crime rates, flood risks, and fire risks, which hinders insurance assessments and real estate pricing accuracy.
Innovation Solution
A system and method using sensors and computing devices to generate neighborhood safety assessments by collecting and analyzing real-time and past data on environmental and social parameters, including crime rates, weather, and geological events, and integrating this information into catastrophe models and insurance claims to provide a comprehensive safety score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional information sources are used for neighborhood safety assessment, then information availability is limited, but information accuracy and reliability are insufficient
Solution Approach 1:
The patent combines multiple information sources including sensor data (crime sensors, environmental sensors), historical data, and real-time data into a unified neighborhood safety assessment system. This merging of diverse data sources simultaneously improves information availability while maintaining accuracy through integrated processing and validation.
Solution Approach 2:
The system creates a multi-functional assessment platform that evaluates multiple safety parameters (crime rates, environmental quality, flood risk, fire risk) simultaneously. This universal approach provides comprehensive information availability across different safety dimensions while ensuring accuracy through specialized measurement for each parameter type.
2Reliability
If real-time sensor data is collected for neighborhood safety assessment, then information reliability is improved, but system complexity increases
Solution Approach 1:
The patent divides the neighborhood safety assessment system into separate functional modules: crime detection sensors, environmental sensors, data processing units, and assessment generation components. Each module handles specific tasks independently, improving reliability through specialized function while reducing overall system complexity through modular design that allows independent development and maintenance of each component.
3Measurement precision
If comprehensive neighborhood safety parameters are assessed, then decision-making accuracy is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary processing of sensor data by pre-establishing assessment frameworks, pre-processing historical data, and pre-configuring evaluation algorithms. This preliminary action allows the system to quickly generate comprehensive safety assessments when needed, maintaining high assessment accuracy while reducing actual processing time through pre-prepared computational structures and pre-processed reference data.
Data Source
AI summary
Systems and methods are disclosed for generating an assessment of safety parameters using sensors and sensor data. One method may include, receiving, by a computing device having one or more processors and from a user device, a request for generating an neighborhood safety assessment for a desired geographic area, wherein the request is based on an assessment of a first neighborhood safety parameter of a plurality of neighborhood safety parameters; determining, by the computing device, one or more sensors associated with the desired geographic area; receiving, by the computing device in real time and from the one or more sensors, a present value for a characteristic of the first neighborhood safety parameter of the one or more neighborhood safety parameters; and generating, based on the received present value, an assessment of the first neighborhood safety parameter of the one or more neighborhood safety parameters for the desired geographic area.