2. NGA is currently storing over 20 million minutes
of motion imagery
“Between 2001 and 2015 we will see a 70,000% increase in the areas under
surveillance—all captured in motion
video intelligence—yielding Yottabytes of video data.” - The Economist, 27 Feb 2010
3. The Need
"The Army's ability to collect information far outpaces its ability to use the information collected"
--‐ Lt Gen Richard P. Zahner
"We don't have enough time to discover data anymore. Especially when we are putting wide-area
surveillance into country rapidly right now. We have to increase discover ability. We have to allow
that analyst sitting on the ground looking at this massive amount of data, he or she does not have
time to sift through all this stuff."
--‐ Gen. Koziol
"Today an analyst sits there and stares at Death TV for hours on end trying to find the single target
or see something move or see something do something that makes it a valid target. It is just a waste
of manpower. It is inefficient."
--‐ Gen. Cartwright
"Analysts spend 80% of their time researching, and only 20% of their time actually thinking about
what that research means. Analysts need more time thinking and less time sifting"
--‐ Gen. Vincent Stewart
"We're not going to manpower our way out of this, we desperately need more automated tools."
--‐ Maj Gen James Poss
Cognika Provides “Automated” PED Now!
“Not Enough Eyeballs, Not Enough Pipes, Not Enough Disks”
4. Projected Personnel Requirements
● Current “imagery-centric” models and
methodologies or traditional imagery
analysis and storage do not scale to handle
volume and velocity of FMV and other “INT”
data currently being captured and stored
world-wide
● Number of analysts required to exploit
imagery using traditional methods would be
infeasible
● Existing data storage constructs and
bandwidth limitations do not support war
fighters’ needs nor analysts ability to keep PED: Processing, Exploitation, Dissemination
Source: National Geo-spatial Intelligence Agency
up with required information “NGA's Initiatives to Improve Motion Imagery Usage” [27-28]
17 November 2010
Cognika Provides “Automated” PED Now!
6. Automated Approach
Searches, Analyzes and Utilizes ALL Types of Data
● Multiple Media
○ FMV
■ Searches INSIDE Video for Data
○ Documents
■ PDF, HTML, MS Office, etc.
○ Text
■ Metadata
○ HUMINT/SIGINT Manage Information,
○ Images Not Drown in it
● Google-like Queries
○ “White Van AND Man”
○ Activity: Digging
● Scalable
7. Cognika Solution
● Reduces Analysts time Spent Searching for Relevant
Data
● Assists Analysts in Finding Relevant Patterns inside
Multiple Data Formats
● Creates an Automated Data Management Tool
● Simple and Accurate Output Leads to Time Sensitive
Ability to Pursue Actionable Results
● Accessible from laptops, mobile devices, PCs etc.
8. Flexible Customizable System
Object Identification
(White SUV)
Activity
(Men Digging)
Powerful Toolkit for Metadata
Querying and (Time, Location, Etc)
Interpretation
9. Activity Detection
Within Real Time Video
Man Walking
Man Walking
With Weapon
CIDS can discern between men walking and men walking with
weapon. Robust system which limits rate of false positives
10. REAL TIME Alerts and Analysis Utilizing all INT
Email/Text Real-Time Alerts
Intercept
Call Intercept
Intelligence
Assessments
HUMINT
Forensic Analysis
UAV Video
11. Extracting and Analyzing Content
For All Available Data Files
● Machine Learning
● Latent Semantics
● Reduce False
Positives
● Incremental
Heuristic Search
12. Key System Features
● Brings Real Time Intel to the Tactical Edge
○ Near Real Time Indexing of ANY Data that s/w Accesses
■ Alleviates the need for Large Centralized Storage
■ Makes Data Input Instantly Available to All Users
■ Index As-is, Where-Is
● Works on Inexpensive Commodity Hardware
● CIDS OMNIX Searches Large Scale Data Sets
○ Architecture Based on Proven Commercial Scaling Methods
■ Map-Reduce, as successfully utilized by AOL, Netflix etc.
● Light Bandwidth Requirement
○ Move Data As-Needed, When-Needed
○ XML, XSLT, JSON, PHP etc. Output formats
○ Caching Avoids Redundant Data Transfers
■ Saves Bandwidth & Speeds Access
13. The System
Men Gathering AND Ramadi/Baquba
Training:
Query for ‘Men Gathering’
● Streamlined, Google-like interface
● Active monitoring chart
● Database of “machine learned” activities, etc.
● Simple point and click training for analysts
14. System Usage
Men Gathering AND
Ramadi/Baquba
Geo- Men Gathering
location Ramadi, Al-Anbar Province
Intel 08/22/11 22:04:13 – 22:05:09
Reports Five unidentified men leaving building, Men Gathering
Imagery walking down street.
Note: Known Bomb Maker at
Video
Location
News Man AND Weapon
Ramadi, Al-Anbar Province
08/09/11 02:48:18 - 03:52:42
Unidentified man walking down street Man AND Weapon
Note: Man Digging and Weapon
Men AND Truck
Baquba, Diyala Province
07/28/11 23:38:04 - 23:39:19
Five unidentified men walking, enter
vehicle
Note: Vehicle of Interest Tracked to
Location Men AND Truck
15. Summary of Capabilities
● Real Time Cross-Media Search, Discovery and Analysis
○ Searches and Extracts Data from Inside FMV, HUMINT/SIGINT/Text/PDF
etc
○ Automated Real Time Indexing of ALL Data
● Simple Training + Interface – No Intel Expertise Required
● Web-based, Desktop , Mobile Access Methods
● Open, Simple API
○ (REST or SOAP)
● Petascale Capabilities
16. Attack the Network
CIDS puts the power of the information in the hands of the ANALYST
● Real-Time FMV Search
● Forensic Search
● Change Detection
● Multi INT Capabilities
● Persistent Surveillance
● Internet Exploitation
● Information Operations
● Incremental Heuristic Search
● Intelligent Detection
○ Activity
○ Object
cids@cognika.com
www.cids.us