BRS Labs is an artificial intelligence company that developed AISight, an intelligent video surveillance solution that uses behavioral recognition to analyze video and sensor data in real-time. AISight can monitor large, complex facilities and assets without limits to detect unexpected behavior. It scales to monitor thousands of sensors without rules or custom programming by teaching itself what is normal and relevant for each environment over time. AISight transforms safety, security and operations by providing early detection of issues across multiple sites.

1. ©2012 BRS LABS. ALL RIGHTS RESERVED.
CONFIDENTIAL
Technology Overview, SCADA
Leonardo Scudere – Managing Director – Latin America
lscudere@brslabs.com
July 31, 2014 – Brasilia, Brazil

2. Agenda
•Introductions
•BRS Labs Overview
•AISight® Overview
–Approach
–Architecture
•Alert Examples
•Data Intelligence
•Applicability
•Q&A
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3. About BRS LABS
•Founded 2005
•HQ in Houston, TX
•80+ employees
•Offices in:
•Washington, DC
•London
•São Paulo
•Barcelona
•Developer of AISight®
•First reason-based, self-learning intelligent video surveillance solution
•Artificial intelligence recognizes suspicious behavior in real time
•100 patents issued, pending or filed
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4. •Transportation
•Public Safety
•Critical Infrastructure
•Energy (Oil & Gas)
•Corporate Campuses
•Government Campuses
•Banking
•Retail, Warehousing & Distribution
•Industrial Facilities
•Fences, Borders and Site Perimeters
•Airports and Seaports
Vertical Applications
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5. Proprietary and Confidential - All Rights Reserved
The Problem and Our Approach

6. ©2012 BRS LABS. ALL RIGHTS RESERVED.
CONFIDENTIAL
What AISight® Observes

7. Challenges
•Large numbers of geographically dispersed facilities
•Camera coverage for safety and security
•Impossible to monitor using “feet on the street” or staff watching monitors
•Too much territory, too many cameras, too much footage for real-time situational awareness and response
•Unpredictable and unexpected events are the most dangerous
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•Today’s SCADA environments are simply too large to monitor as a whole (growing tag counts)
•Too much data for accurate, manual correlation and trend analysis
•Operators with experience on the plants cannot be replaced (operator intuition)
•It’s often too late when a field sensor triggers a high/low alarm set point
Video
SCADA

8. The Failure of Analytics
•Limited Visibility (data granularity)
•No Scalability (deployment time)
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•Performance Deterioration
•Constant Maintenance
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Site 1
Inlet Pressure
Outlet Pressure
Temperature
Low Alarm
High Alarm

9. AISight’s Behavioral Recognition Is The Smarter Solution
•Real-time identification of unexpected behavior
•Teaches itself what’s relevant for every sensor – no need for rules, predefined classifications or custom programming
•Open systems approach leverages existing cameras and networks
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10. Manageable Alert Volumes
AISight monitors the quality of each alert, with full control over notification volume and frequency
•Operators receive the most urgent alerts, in line with what can be reasonably investigated within a set time span
•Fully configurable
•Staff won’t be distracted by large numbers of trivial alerts
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11. Transforms Safety & Security
•Scales without limits to monitor hundreds or thousands of sensors
•The only realistic solution for detecting suspicious behavior across large, complex and/or multi-site deployments
Behavioral Recognition…
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12. Adds Value to Existing Assets
•Maximizes the utility of existing investments infrastructure
•Increases productivity and improves alert responsiveness for staff
•Open systems approach – no need for new investment in new supporting infrastructure
•Non-intrusive – does not impact production systems
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13. ©2012 BRS LABS. ALL RIGHTS RESERVED.
CONFIDENTIAL
AISight® Architecture

14. AISight 5, Analytic Platform
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IoT Analytics
Sensor
Manager
Machine Learning Engine
SCADA
Database
Output
Interface
API
Video
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15. •Onsite hardware and software
•SaaS and Lease models
•Virtual machine support
•CapEx vs. OpEx
Flexible Deployment Options
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16. Real-World Examples
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17. Real-World Examples
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18. SCADA Today
•Today, asset health monitoring is often comprised of fixed alarm limits manually defined within control systems, smart devices, SCADA, or historians.
•Complicated and ever-changing rule sets combined with manual trend analysis and experienced operator intuition is not sufficient in today’s environment.
–Does not scale
–Cannot effectively monitor plant operations
–Prone to miss subtle precursors to failure
–Cannot see the entire picture (sensor correlation)
•The cost of a reactive position is only effective when things are running as normal.
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20. SCADA Beta, Results
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Raw Data
Data Normalized to Scale (0-1)
Alert Correlation

21. Composite Sensors for Processes
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22. Intelligence in the HMI
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Intelligence in the HMI

24. ©2012 BRS LABS. ALL RIGHTS RESERVED.
CONFIDENTIAL
Data Intelligence
Alert Volume by Feed
Alert Volume by Date

25. ©2012 BRS LABS. ALL RIGHTS RESERVED.
CONFIDENTIAL
Data Insight

26. •Scalable
•Teaches itself/adapts over time
•Designed for complex scenarios and busy sensors
•Delivers higher quality alerts the longer it’s in use
•Installs within 1-2 days
•Works out of the box
•No custom programming
•Enhances situational awareness for safety, security and ops
Value Summary
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Cost
Time
AISight
Performance
Time

27. Thank You!
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Cody Falcon
VP, Product Development
cfalcon@brslabs.com
713-590-5158