Back|Use Cases Applications Crime Rate Clustering

Crime Rate Clustering

AI can analyze the contributing factors and incident reports to build more accurate crime mapping statistics.

Challenge

Crime continues to pose a nationwide concern. Law enforcement agencies are looking for new tools to help secure their communities. Simple tracking of criminal incidents has shown to be insufficient. Factors such as drug prevalence, overall land value, pollution levels, freeway access routes, and supermarket proximity, contribute to or mitigate crime rates. So, how should model crime rates be tracked more accurately?

Interplay's machine learning technology and specific clustering analysis may be utilized to help them with both crime prevention and control.

Solution

Interplay’s® machine learning technology can recognize patterns in criminal activities using historical data. AI can analyze the contributing factors and use incident reports to build more accurate crime mapping statistics. Specific clustering analyses can be used to help with both crime prevention and control. It will quickly analyze data to find correlations between crime type, the weapon used, and the location of common crimes. Interplay’s AI capabilities can be used in a positive, life-saving way. 

Project Profile

Client:

Law enforcement, Retail analysis

Goal:

Location analysis

Development Time:

4 weeks

Deployment:

Pilot

Nodes used in this flow

Inject Node
Regression Trainer Node
Data Visualize Node
Model Visualize
Console Node
Regression Model Tester
Regression Predictor AUTOAI
Prediction Visualize

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