Technology usage by Law Enforcement Agencies not only helps in accurately and timely investigation of registered cries, but also to “predict” crimes and prevent them before they happen, there by achieving the objective of “crime reduction”.

Law Enforcement Agencies world wise are using Artificial Intelligence to prevent and reduce crime, and to more quickly response to crimes in progress. The basic premise for using AI is that crimes are relatively predictable, it just requires being able to sort through a massive volume of data to find patterns that are useful to law enforcement agencies. Some of the patterns to watch for:

• Environment - remains fairly static over a period of time. A particular environment may throw vulnerable for of crimes based on past behavior. Or any change in environment trigger by an event may have past history of increase of crime.
• Repeat Victimization – Ease of doing a crime by the criminal influences his/her choice for the next offence
• New Repeat Victimization – Proceeds/outcome of one offence on a particular house/individual often leads to tendency of an offender to choose the next victim to be in the surrounding of another.
• All labs have different products and solutions from various OEM and everyone use a proprietary report format and store data in a different style for all the above devices. Bringing different propriety formats of information into a common repository is a big challenge for Law Enforcement agencies.

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CloudPrisma brings innovative use of Artificial Intelligence and Machine Learning to develop advance mathematical models for different scenarios based on various data sets like

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1. City or Region or Zone based Crime Record history archive
2. City or Region or Zone based Crime Record recent period (daily/weekly/monthly)
3. NIA, RAW, IB, CBI etc.
4. External Data from local/district/state/national on events (archive and recent period)
5. Demographic data from Census/ Ministry of Statistics/ Economics etc. providing information on area/locality vise age, sex, religion, income level etc.
6. Area/Location wise concentration of residential, commercial, industrial establishments
7. Any other public data that may have definitive or probable relevance to crime or law and order.

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Law Enforcement Current Setup

The Law Enforcement existing data across agencies, Other Government agencies, external data, as per requirement. CloudPrisma can assist in identifying sources of relevant data.

CloudPrisma Proposed Solution

• Data Ingestion - data here is prioritized and categorized which makes data flow smoothly in further layers in a common format. Transportation of data where components are decoupled to start analytic capability
• Data Query Layer - Active analytics processing with primary focus to gather data value so that they are more useful to the next layer. Some of the Tools used are Distributed SQL Query for Big Data (eg. Presto, MY SQL, Appache Spark, MS SQL DB2 etc)
• Analytics Engine – Mathematical Modeling using Machine Learning and apply analytic tools for Statistics, Semantic, Predictive, Text & Video Analytics. (eg. Python, Java, R, etc.)
• Data Visualization Layer - Presenting the data to make it “Valuable” and “Insightful”. Tools using Tableau, Cognos, Power BI etc.
• Intelligent & Secured Hybrid Compute and Storage solution – Providing a mix of On Premises, in the cloud, PaaS and Container based or Serverless computing along with storage types like Object Storage etc.

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Innovate and Predict with CloudPrisma experts to control crime rates of your jurisdiction.