Predpol - Predictive Policing - Security, Law

Today I checked on Predpol - Predictive analytics to prevent crime. A little assessment from my end on the Data Source - Historical + Real-time and how they can alert proactively.

Historical Data sources

• Helpline Call Report Records
• Crime History by Day
• Crime History by Month / Week / Seasonality / Festivals / Holidays
• Crime Patterns by Area
• Data Collected from Crowd Patterns
• Types of Violence vs Areas (Mob, Bars, Vehicle Accidents)
• Crime Activity vs Time
• Type of Crime vs Day Analysis
• Type of Crime vs Area Analysis

Real-time Assessment

• Video Cameras to feed on Vehicle, People Movements
• Crowd Movements in Late Night
• Alert on Suspicious Movements / Weapons Detection
• Weather Activity Factor

Digital / Telecom / Social Media Real-time Inputs

• Monitoring Criminal Network Activity 
• Network Vehicle Movements
• Cell Phone Signal Movements

Intelligence Inputs

• Robbery
• Violence
• Floating Population Impact for Meetings / Travel

Game Theory

• Map the pattern of Time / Area
• Arrive at optimal Randomized Strategy

You would need different models for different types of crime prediction, the recommendation of patrols based on both historical and real-time movements. 

More Reads
https://www.predpol.com/technology/

Security Related Notes
Digital Evidence Reads
Types of Digital Evidence

• Communication websites, particularly message boards and chat rooms
• File-sharing, pictures, and video
• Downloaded files can often be linked to specific IP addresses
• User’s web activity, Global Positioning System (GPS) location, and text messaging distinct from email or other documents
• Contact list, a log of calls made and received, and call duration
• Physical extraction of a hard drive
• Social media, cloud storage systems, or private CCTV installations

National and Transnational Security Implications of Big Data in the Life Sciences 
ML Areas

• Facial recognition
• Fingerprint identification
• DNA matching

Happy Mastering DL!!!