Transcript GIS-BASED CRIME ANALYTICS CCTNS I – Setting the Baseline CCTNS spans across 28 States and 7 UT's covering all 15,000+ Police Stations and.

GIS-BASED CRIME
ANALYTICS
CCTNS I – Setting the Baseline
CCTNS spans across 28 States and 7 UT's covering all 15,000+ Police Stations and 6,000+
Higher Police Offices
Includes Horizontal connectivity of Police units (linking police units at various levels
within the States – Police Stations, District Police Offices, State Headquarters, SCRB and
States, through State Headquarters and SCRB, to NCRB at GOI level)
Vertical connectivity, linking Police functions at State and Central level to external
entities.
Automation of Policing process and generation of nationwide digital database via
customized CAS
Citizen’s interface to provide basic services to citizens
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CCTNS I – The Data Provider
CAS Centre
`
SDC
FIR
Registration
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Emergency Response System- The Data provider
Help Arrived
GRPS TOWER
CALLTAKER
DISPATCHER
Event
GRPS SERVICE
PROVIDER
DATA CENTER
PRI Line from Exchange
to Police Control Room
Police Control Room
DIAL 100
DESTRESS CALLER
Wireless Communication
with Field Officers
VECTOR MAP
MTNL / BSNL EXCHANGE
PCR VAN WITH MDT
Dispatched Nearest
Patrol Vehicle
SATELLITE IMAGERY
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CCTNS II – Advanced Solutions

GIS Based Crime Analytics

Computer Aided Dispatch &
Traffic Management System

Mobile Data Terminals

Biometrics

Automated Fingerprint
Identification System,

Automated Facial Recognition
System,

Fingerprint Enrollment Devices
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Why 'Geo-Crime Analysis' ?

Large volume of crime data available and being digitized
 CCTNS Phase I
 Existing Computer aided Dispatch/ PCR System

Current system
 Provides tabular reports
 Current Report not Geospatial enabled
 Location based decision support is impossible
 Planning & Resource allocation is a nightmare

Visualization of geo-enabled crime data is need of the hour
'Geo-Crime Analysis' is the solution for the future
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Building blocks of 'Geo-Crime Analysis'
ANALYSIS
& STRATEGIC
PLANNING
DATA MANAGEMENT
UGSE @ State Level
(Unified Geospatial & Secured
Environment)
FIELD OPERATIONS
 Spatial distribution of incidents
 Incident Analysis
 Hotspot Analysis
 Predictive Analysis
 Cluster, Buffer & Proximity Analysis
 Facilitate seamless
information exchange for
visualization, dissemination
and analysis.
 Resource Planning
 Demand Analysis
 Patrolling Activities
 Preventive Measures
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Objectives of 'Geo-Crime Analysis'
• To Establish Unified and Secured Geospatial Environment
(USGE) for advanced crime and incident analysis
• Provide Applications to Georeference non-spatial data and
data management
• Enable stake holders to generate an integrated view of
information as required by various end users through
intelligent analytics tools.
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Stakeholders in the 'Geo-Crime Analysis'
Devp Project
MHA
NCRB
POLICE MODERNIZATION
BORDER MANAGEMENT
DISASTER
MANAGEMENT
INTELLIGENCE AGENCIES
RAW
NTRO
DIRECTORAT
E REVENUE
INTEL
JOINT
CIPHER
BUREAU
DIRECTORAT
E INCOME
TAX
IB
PROTECTION
& SECURITY
RIOT
CONTROL
POLICE
QUICK
RESPONSE
TEAM
TRAFFIC
ANTIEXTORTION
ANITINARCOTICS
JUVEINILE AID
PROTECTION
SPECIAL
POLICE
DEFENCE
INTEL
STATE POLICE DEPT.
ENFORCEMEN
T
ECONOMIC
OFFENCES
WING
STATE POLICE
WIRELESS
ATS
CRIME
BRANCH
MISSING
PERSONS
BUREAU
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Scope of Work
To establish Unified and Secured Geospatial Environment (USGE) based on spatial data collected
from multiple sources such as Survey of India, Urban authorities, National Informatics Center and
other sources and integration with Crime Data from CCTNS Phase I and data gathered from CADS
Development, testing, initial rollout and certification of 'Geo-Crime Analysis'
Implementation of a National and State level GIS based crime analytics hub
Customization and configuration of 'Geo-Crime Analysis'
Capacity building and training activities
Operations and maintenance services for a period of five years from the date of nation-wide “Go
live” of 'Geo-Crime Analysis'
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'Geo-Crime Analysis' Broad Level
Architecture
External Agencies
Healthcare
IVFRT
Police CAD
Transport
Social
Network
RGI
Telecom SP
E-Courts
Finance
Analyst Work Space
Web Services
Passport
Central NCRB
BI Dashboard
Server Farms
'Geo-Crime
Analysis'
Application
GIS Analyst
Web
Database
Object Search
Engine
Authentication
Extract, Transform and Load (ETL)
State NCRB
Analyst Work Space
GIS Desktop
Server Farms
GIS Analyst
MIS RDBMS
Existing – CCTNS I
Image
Database
GIS RDBMS
GIS Data Updation
GIS Desktop
Document Repository
Existing
Triple Store
GIS Data Providers
Unified and Secured Geospatial Environment (USGE)
SOI
GIS Data Collation
NRSA
Security &
Authentication
Data Modelling
NCRB
Configuration
Services
Forest Dept.
Monitoring &
Auditing
Catalogue
Security Config
Data Mapping
Alerts Config
Monitor & Audit Config
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GIS Data Management
NCRB will provide base map with additional vectors layers (map)
relevant to the Police department for
Streets
Police station and beat boundaries
District boundaries
State boundaries and
International boundaries etc.
Integration of these maps with the 'Geo-Crime Analysis'
application
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'Geo-Crime Analysis' - Basic GIS
functionalities required
Measure Distance Tool
Measure XY values
Searches
Pin Mapping
Measure Area Tool
Thematic Mapping
Basic GIS
Routing
Buffer Analysis
Drawing features
Search for a Crime
Temporal Analysis
Markup Tools
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Measure Distance Tool
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Measure Area Tool
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Thematic Maps
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Temporal Analysis – Day of the Week
Complaints of Playing Cricket
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Temporal Analysis – Month of the year
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Temporal Analysis – Time of the Day
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Query Command and Pin Mapping
Colour Coded Events
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'Geo-Crime Analysis' - Advanced GIS
Incident Analysis
Suspect Analysis
Proximity Analysis
Hotspot Analysis
Variation over Time
Analysis
Advanced
GIS
Journey to Incident
Interface with
proposed CADS & AVL
Predictive Analysis
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Incident Analysis
Crime counts
per region
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Suspect Analysis
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GIS Driven Search & Visualization
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Hot Spot Mapping

Definition:
 Extract areas where the concentration of
incidents is high
 Identify clusters in geographic space

Options:
 Simple one click generation
 Advanced modes – assign weights, choose
normalization
Public Disturbance 2004

Benefits:
 Distills complex information into a simple
picture
 Effective communication products for public
education
 Helps direct assets where they are most
needed
Public Disturbance 2004
Domestic Dispute 2004
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Hotspot Analysis
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Journey to Incident
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Variation Over Time Analysis
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Variation Over Time Analysis
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Interface with proposed CADS & AVLS
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Semantic Analysis

The normal search engine doesn't know what the words mean. It treats searches for
"potato chips" and "airline tickets" in the same way -- by looking for pages that match
those patterns of letters.

Semantic search seeks to improve search accuracy by understanding searcher’s intent
and the contextual meaning of terms as they appear in the searchable dataspace,
whether on the Web or within a closed system, to generate more relevant results.

"Jane Smith, mother of Janet Brown," it can deduce that Janet Brown is the daughter
of Jane Smith
Same word, different meanings
finest
Different words, same meaning
jubliant
joyous
highest
highest
merry
happy glad
leading outstanding top
overjoyed ecstatic content
supreme
Best
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Semantic Analysis…..contd

Based on a language-specific network
of idioms it:
 Extracts entities
 Extracts inter-entity links
 Concepts
 Events / facts
 Categorizes into customer specific
subjects/categories, or into human
general categories
 Summarizes the text
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Link Analysis
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Business Intelligence & Reporting – at National Level
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Statistical Data Analysis & Visualization
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Temporal, GIS & Statistical Analysis & Visualization
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BI Dashboards
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BI Dashboard
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Benefits of 'Geo-Crime Analysis'
Insights through analysis of data from disparate data sources
All existing crime data gets geocoded
GIS based location context for effective analysis & visualization
Enable multiple analytical scenarios – Hotspot, Predictive, Change over time, Incident,
Suspect Analysis etc.
Provides seamless collaboration capability with multiple agencies
Enhance Crime & Criminal tracking functions improve efficiency and effectiveness of
policing
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