BEL

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Bharat Electronics Limited

Adversary Network Analysis Tool

Key Features

Over the past two decades, considerable research has been carried out in the area of Social Network Analysis (SNA) and its application in analyzing covert networks. SNA is capable of revealing significant insights into the underlying patterns /dynamics of hidden networks and identification of crime patterns, which can be targeted by law enforcement and security agencies for disruption.

However, there is ambiguity on how exactly law enforcement agencies can leverage SNA in an operational environment, as each agency has their own areas of focus while dealing with criminal networks. To tackle this issue, BEL has developed Adversary Network Analysis Tool (ANANT), a comprehensive Artificial Intelligence (Al) enabled package, for the analysis of adversary networks, enabling effective and predictive modelling of attacks. The solution also offers collaborative Online Social Media Analytics to derive intelligence insights from real-time data.

ANANT in Crime Analysis / Investigation / Counter Terrorism
Key Features
  • Al-enabled offender profiling (Criminal Profiling and Geographical Profiling)
  • Move pattern analysis of adverse incidents
  • Communication Pattern Analysis with the help of online Social Media Analytics
  • Predictive analysis of intelligence or data available from different sources to arrive at actionable intelligence
  • Crime Analysis / Risk Terrain Mapping
  • Predictive Policing
  • Predicting perpetrator identities
  • Predicting crime victims
Adversary-Network-Analysis-Tool

What Makes Our Product Unique?

Our solution offers Spatio-temporal Analysis to analyze multi-mode and multi relational adversary networks, which are today’s and future requirements of the State Police and other law enforcement agencies (LEA). ANANT also offers static and dynamic network analysis needs of most of the LEA s under one roof.

Salient Features

  • Monitoring high-risk situations heat maps and identifying locations vulnerable to crime
  • Geo-tagged sentiment analysis based on social media analytics, showing positive, negative and neutral tweets/posts
  • Hot Spot analysis based on crime type and location
  • Dynamic heat map generation with custom queries and crime insights
  • Crime plots based on historical crime data using color coded markers (Icons) as clusters
  • Predicting various type of crime likely to happen at specified areas / locations
  • Object recognition and text extraction from images and PDF files
  • Risk Terrain Mapping
  • Modern Predictive Policing techniques