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Video Analytics
Operational, Marketing and Security Insights from CCTV
Organizations now have an
opportunity to increase the
returns they receive from their
existing video surveillance
infrastructures. By applying
sophisticated computer vision
algorithms to video feeds,
and adding an analytics layer
to existing video surveillance
systems, CCTV’s full potential
can begin to be realized.
1
Enhanced security capabilities
are just part of the picture.
For example, retailers and
customer-facing branch
network operators are using
insights from video analytics to
optimize their operations and
better understand customer
behaviors. Municipalities
and local governments
are increasing situational
awareness for intelligent cities.
And airport, train stations
and mass transit operators
are facilitating people flows,
detecting operational incidents,
and using predictive modeling
to optimize their operations.
The availability of advanced
video analytics technologies
means it is time to take video
surveillance to the next level—
in security, commercial and
public service environments.
Fuelled by concerns over terrorism and rising
crime rates, video surveillance installations
have surged in recent years. A study by
research group RNCOS estimates that the
global market for CCTV has been expanding
at a CAGR of 20.5 percent since 2012 and
will reach around US$23.5 billion by the end
of 20141
. While London has more cameras
deployed than any other major city, most
other industrialized countries have also
adopted this technology. Looking ahead,
China is predicted to become the world
leader in this field, accounting for 70 percent
of all video camera shipments by 20142
.
The rapid increase in CCTV installations
means that existing teams of operators
are unable to monitor the vast quantity of
video data that is being generated. In what
is a textbook example of data velocity4
overwhelming humans, estimates suggest that
up to 98 percent of CCTV footage remains
unseen5
. As a result, most video surveillance
installations are only used for forensic and
evidential purposes after the fact.
But with the introduction of video
analytics, most, if not all of that video data
can be more effectively scrutinized, leading
to major improvements in 24/7 video
surveillance capabilities. What is more, the
same technologies can also be used outside
the security domain to unlock exciting new
operations and marketing opportunities for
organizations across all industries.
“When thousands of cameras
run 24/7 in cities like Boston,
New York and Washington,
D.C., video surveillance
quickly becomes a big data
challenge. Analytics and
automation technologies are
the only answer3
.”
Realizing the potential with video analytics
Using video analytics, organizations no longer have to rely solely on human operators to process and analyze large volumes of
real-time or historical video data. Instead, they can tap into automatic surveillance and analysis of video streams (see Figure 1).
Figure 1: Potential of video analytics
From Video Surveillance
Operator monitoring 20+ screens
Showing feeds from 100+ cameras
Trying to stay alert!
Operations, marketing and security insights
To Operations Center
2
Video surveillance—a booming market
Video Management System
CCTV Cameras
Video Analytics
Video Management System
CCTV Cameras
There are a range of video analytics
technologies now available (see Figure
2), from basic motion detection to more
advanced capabilities such as counting,
tracking, anomaly detection and complex
behavioral analysis. By using advanced
operational analytics—a rule-based type
of data analytics that analyzes individual
video analytics events to detect pre-defined
scenarios—actionable insights can be
generated from the information received.
The benefits that this can have in the field
of security were thrown into stark relief
following the April 2013 Boston bombing,
when security agencies used video analytics
technologies to scrutinize the thousands
of hours of CCTV video footage that were
available6
. In another example, the UK and
Netherlands border agencies have deployed
an Accenture-provided self-service
passport control solution (incorporating
automated face capture and recognition)
to process millions of passengers each
year. Using self-service gates and
face recognition technologies to read
ePassports, validate documents, and carry
out face capture and matching, passengers
Figure 2: The art of the possible: A sample of the rich catalogue of video Analytics functionality
3
can cross the border in a self-service
fashion within, on average, eight seconds.
These are among the more well-publicized
examples of the benefits of video
analytics, and their successes are leading
organizations across all industries to invest
in these technologies. According to one
recent report7
, global “Intelligent Video
Surveillance (IVS) & Video Analytics (VA)”
industry revenues totaled US$13.5 billion
in 2012, and are estimated to reach US$39
billion in 2020.
People Recognition Crowd Counting
Post Event Analysis
Traffic Monitoring
Video Indexing
Object Recognition
Safety Alerts Cross-Camera Tracking Footfall Tracking
License Plate Recognition Incident Detection Left Object Detection
Augmented Reality Wide Spectrum Imagery Suspicious Behavior
Breakthrough advances
in technology
This investment is accelerating in step
with breakthrough advances in this area.
New technologies such as IP storage
are transforming how CCTV data can be
collected, stored and used. Cloud-based
video surveillance—“video surveillance
as a service” (VSaaS)—is set to take the
flexibility of CCTV installations to a new
level. And big data technologies can now
make unstructured CCTV data searchable
and available for analytic processes.
As CCTV goes digital, with major
improvements in optics, resolution and
frame rates, the quality of data is rising
all the time. Crucially, this data can now
be seamlessly integrated into the IT
infrastructure, where developments in
IP networks, bandwidth, processing and
storage mean that it can be stored and
combined) with other enterprise data to
enable insights that would previously have
been impossible.
With increasingly sophisticated algorithms
now available, the accuracy of these
insights is improving. New face recognition
algorithms in 2006 were 10 times more
accurate than those in 2002, and a hundred
times more accurate than those in 19958
.
People-counting algorithms have also been
maturing at pace. Analyzing the shape of a
living body (typically heads and shoulders)
through video pictures, these can now count
the number of people coming in or out of set
areas with accuracy above 95 percent9
.
Crucially too, analytics systems are not
just getting more “intelligent”. They are
also becoming more affordable, as the cost
of image processors and communications
systems continues to fall.
Extending the value
of video analytics
As video analytics technologies continue
to evolve and become more affordable,
organizations are beginning to investigate
how they can be used to deliver heightened
visibility into operational performance, as
well as what is happening in the external
environment. This has multiple benefits.
For example, by being able to count the
number of people within a facility and
measure dwell time and crowd density—
where people are congregating and for how
long—an organization will know where to
optimize customer flows and how to target
marketing resources to maximum effect.
And because operations centers are alerted
when crowd numbers approach pre-defined
health and safety thresholds, they know
when to start restricting entrance.
Key information on physical space usage,
footfall, wait and service times and typical
usage patterns is all within reach in a real-
time, continuous, 24x7 fashion—rather than
through occasional manual observation
surveys.
A recent Accenture pilot illustrates the
benefits that this delivers in the commercial
sphere. An Accenture core video analytics
solution, which includes counting and
queue monitoring capabilities, has recently
been tested in South Africa. It is providing
operational, marketing and security insights
from CCTV video feeds, monitoring people
and vehicle flows, queues and waiting
times in customer service environments.
In another example, Accenture’s face
recognition solution has been successfully
used in a large European shopping center to
scan up to 15,000 customers per day, and
generate notifications for known individuals
with less than 0.5 percent false alerts.
Under pressure to do more with less,
municipalities and local governments are
embracing video analytics solutions that
can optimize utilization of limited resources
while maintaining day-to-day city operations
and improving emergency handling.
The Singapore Safe City Pilot is a prime
example. Along with its industry partners,
the Singapore government is piloting the
integration of advanced analytics into
existing sensors and systems across the
city. The goal is to maximize situational
awareness, streamline operations and
enhance response capabilities across several
different government agencies10
.
Since April 2013, Accenture has deployed
its Video Analytics Service Platform in
Singapore to connect to existing and new
sensor infrastructures (including dozens
of CCTV cameras), apply computer vision
and predictive analytics to surveillance
video feeds to detect various events, and
generate business alerts for six different
government agencies.
4
Why Accenture?
Building on its strong credentials in
Biometrics and Facial Recognition
Technology (FRT), Accenture has developed
a layered, modular, vendor agnostic
solution for video analytics that enables
organizations to unlock greater value from
their existing CCTV investments.
Illustrated in Figure 3, the Accenture
Video Analytics offering applies computer
vision algorithms to video feeds, adding an
analytics layer to existing video surveillance
systems to detect events of interest. By
applying streaming analytics, the Accenture
solution turns these events into business
alerts that are displayed on an advanced
touch-wall user interface.
Developed by Accenture’s Emerging
Technology Innovation teams in Sophia
Antipolis, France and Bangalore, this
software solution is now delivering results
for security services, public service agencies
and commercial organizations worldwide.
5
Figure 3: Accenture Video Analytics: A layered, modular solution
Visualization
Core Analytics
Data Sources
Video AnalyticsVideo Analytics
Social Media
Listening
Sensor
Monitoring
Operational
Systems
Monitoring
Face Matching
CCTV Cameras People 3rd
Party Sensors
3rd
Party Operational
Systems
Traffic Monitoring
Anomaly Detection
License Plate
Matching
Tracking
People Counting
Crowd Detection
Flow Management
Vehicle Classification
Operations External Systems
Operational and Predictive Analytics
The digitalization of video surveillance data, combined with wider availability of advanced
video analytics technologies, means that more organizations are turning to these solutions
to create intelligent business operations.
From automated passport control gates to next-generation applications in safe cities,
video analytics is already in use and providing tangible security, business and customer
service benefits.
As well as applying video analytics to video stream data to obtain deeper, richer operational
insights, organizations are taking their situational awareness to the next level and
strategically using these technologies to “engage with customers and citizens in new ways.
6
Video analytics: Toward intelligent
business operations
About Accenture
Accenture is a global management
consulting, technology services and
outsourcing company, with approximately
261,000 people serving clients in more
than 120 countries. Combining unparalleled
experience, comprehensive capabilities
across all industries and business functions,
and extensive research on the world’s
most successful companies, Accenture
collaborates with clients to help them
become high-performance businesses and
governments. The company generated net
revenues of US$27.9 billion for the fiscal
year ended Aug. 31, 2012. Its home page is
www.accenture.com.
About Accenture
Emerging Technology
Innovation
Accenture’s Emerging Technology
Innovation group is responsible for
incubating the next generation of
Accenture’s technology services. By
partnering with Accenture Technology
Labs, Emerging Technology Delivery and
the Technology Industry Ecosystem,
it provides expert services to identify,
pursue and deliver advanced and emerging
technologies with pioneering clients.
Contacts
To find out how Accenture can help your
organization realize the full potential of
your CCTV investments, contact:
Cyrille Bataller
Managing Director -
Emerging Technology Innovation
cyrille.bataller@accenture.com
www.accenture.com/videoanalytics
References
1. www.rncos.com/Market-Analysis-Reports/
Global-CCTV-Market-Forecast-to-2014-
IM374.htm
2. ‘Eyes Everywhere’, pub.2011, Routledge
3. http://www.informationweek.com/
government/information-management/whats-
next-in-video-surveillance/240155161
4. www.accenture.com/technologyvision
5. http://icetana.com/product/overview/
6. http://gcn.com/Articles/2013/04/18/How-
video-analytics-reconstruct-Boston-Marathon-
bombings.aspx?Page=3
7. http://www.dailymarkets.com/
stock/2013/03/25/intelligent-video-surveillance-
vca-va-market-worth-39-billion-in-2020-say-
new-research-report-at-reportsnreports-com/
8. National Institute of Standards & Technology
(www.nist.gov/index.html)
9. http://www.contingencytoday.com/
companyinformation/Ipsotek-Ltd/1435
10. www.channelnewsasia.com/news/singapore/
new-challenges-to/632142.html
Copyright © 2013 Accenture
All rights reserved.
Accenture, its logo, and
High Performance Delivered
are trademarks of Accenture.

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Accenture video-analytics-operational-marketing-and-security-insights-from-cctv

  • 1. Video Analytics Operational, Marketing and Security Insights from CCTV
  • 2. Organizations now have an opportunity to increase the returns they receive from their existing video surveillance infrastructures. By applying sophisticated computer vision algorithms to video feeds, and adding an analytics layer to existing video surveillance systems, CCTV’s full potential can begin to be realized. 1 Enhanced security capabilities are just part of the picture. For example, retailers and customer-facing branch network operators are using insights from video analytics to optimize their operations and better understand customer behaviors. Municipalities and local governments are increasing situational awareness for intelligent cities. And airport, train stations and mass transit operators are facilitating people flows, detecting operational incidents, and using predictive modeling to optimize their operations. The availability of advanced video analytics technologies means it is time to take video surveillance to the next level— in security, commercial and public service environments.
  • 3. Fuelled by concerns over terrorism and rising crime rates, video surveillance installations have surged in recent years. A study by research group RNCOS estimates that the global market for CCTV has been expanding at a CAGR of 20.5 percent since 2012 and will reach around US$23.5 billion by the end of 20141 . While London has more cameras deployed than any other major city, most other industrialized countries have also adopted this technology. Looking ahead, China is predicted to become the world leader in this field, accounting for 70 percent of all video camera shipments by 20142 . The rapid increase in CCTV installations means that existing teams of operators are unable to monitor the vast quantity of video data that is being generated. In what is a textbook example of data velocity4 overwhelming humans, estimates suggest that up to 98 percent of CCTV footage remains unseen5 . As a result, most video surveillance installations are only used for forensic and evidential purposes after the fact. But with the introduction of video analytics, most, if not all of that video data can be more effectively scrutinized, leading to major improvements in 24/7 video surveillance capabilities. What is more, the same technologies can also be used outside the security domain to unlock exciting new operations and marketing opportunities for organizations across all industries. “When thousands of cameras run 24/7 in cities like Boston, New York and Washington, D.C., video surveillance quickly becomes a big data challenge. Analytics and automation technologies are the only answer3 .” Realizing the potential with video analytics Using video analytics, organizations no longer have to rely solely on human operators to process and analyze large volumes of real-time or historical video data. Instead, they can tap into automatic surveillance and analysis of video streams (see Figure 1). Figure 1: Potential of video analytics From Video Surveillance Operator monitoring 20+ screens Showing feeds from 100+ cameras Trying to stay alert! Operations, marketing and security insights To Operations Center 2 Video surveillance—a booming market Video Management System CCTV Cameras Video Analytics Video Management System CCTV Cameras
  • 4. There are a range of video analytics technologies now available (see Figure 2), from basic motion detection to more advanced capabilities such as counting, tracking, anomaly detection and complex behavioral analysis. By using advanced operational analytics—a rule-based type of data analytics that analyzes individual video analytics events to detect pre-defined scenarios—actionable insights can be generated from the information received. The benefits that this can have in the field of security were thrown into stark relief following the April 2013 Boston bombing, when security agencies used video analytics technologies to scrutinize the thousands of hours of CCTV video footage that were available6 . In another example, the UK and Netherlands border agencies have deployed an Accenture-provided self-service passport control solution (incorporating automated face capture and recognition) to process millions of passengers each year. Using self-service gates and face recognition technologies to read ePassports, validate documents, and carry out face capture and matching, passengers Figure 2: The art of the possible: A sample of the rich catalogue of video Analytics functionality 3 can cross the border in a self-service fashion within, on average, eight seconds. These are among the more well-publicized examples of the benefits of video analytics, and their successes are leading organizations across all industries to invest in these technologies. According to one recent report7 , global “Intelligent Video Surveillance (IVS) & Video Analytics (VA)” industry revenues totaled US$13.5 billion in 2012, and are estimated to reach US$39 billion in 2020. People Recognition Crowd Counting Post Event Analysis Traffic Monitoring Video Indexing Object Recognition Safety Alerts Cross-Camera Tracking Footfall Tracking License Plate Recognition Incident Detection Left Object Detection Augmented Reality Wide Spectrum Imagery Suspicious Behavior
  • 5. Breakthrough advances in technology This investment is accelerating in step with breakthrough advances in this area. New technologies such as IP storage are transforming how CCTV data can be collected, stored and used. Cloud-based video surveillance—“video surveillance as a service” (VSaaS)—is set to take the flexibility of CCTV installations to a new level. And big data technologies can now make unstructured CCTV data searchable and available for analytic processes. As CCTV goes digital, with major improvements in optics, resolution and frame rates, the quality of data is rising all the time. Crucially, this data can now be seamlessly integrated into the IT infrastructure, where developments in IP networks, bandwidth, processing and storage mean that it can be stored and combined) with other enterprise data to enable insights that would previously have been impossible. With increasingly sophisticated algorithms now available, the accuracy of these insights is improving. New face recognition algorithms in 2006 were 10 times more accurate than those in 2002, and a hundred times more accurate than those in 19958 . People-counting algorithms have also been maturing at pace. Analyzing the shape of a living body (typically heads and shoulders) through video pictures, these can now count the number of people coming in or out of set areas with accuracy above 95 percent9 . Crucially too, analytics systems are not just getting more “intelligent”. They are also becoming more affordable, as the cost of image processors and communications systems continues to fall. Extending the value of video analytics As video analytics technologies continue to evolve and become more affordable, organizations are beginning to investigate how they can be used to deliver heightened visibility into operational performance, as well as what is happening in the external environment. This has multiple benefits. For example, by being able to count the number of people within a facility and measure dwell time and crowd density— where people are congregating and for how long—an organization will know where to optimize customer flows and how to target marketing resources to maximum effect. And because operations centers are alerted when crowd numbers approach pre-defined health and safety thresholds, they know when to start restricting entrance. Key information on physical space usage, footfall, wait and service times and typical usage patterns is all within reach in a real- time, continuous, 24x7 fashion—rather than through occasional manual observation surveys. A recent Accenture pilot illustrates the benefits that this delivers in the commercial sphere. An Accenture core video analytics solution, which includes counting and queue monitoring capabilities, has recently been tested in South Africa. It is providing operational, marketing and security insights from CCTV video feeds, monitoring people and vehicle flows, queues and waiting times in customer service environments. In another example, Accenture’s face recognition solution has been successfully used in a large European shopping center to scan up to 15,000 customers per day, and generate notifications for known individuals with less than 0.5 percent false alerts. Under pressure to do more with less, municipalities and local governments are embracing video analytics solutions that can optimize utilization of limited resources while maintaining day-to-day city operations and improving emergency handling. The Singapore Safe City Pilot is a prime example. Along with its industry partners, the Singapore government is piloting the integration of advanced analytics into existing sensors and systems across the city. The goal is to maximize situational awareness, streamline operations and enhance response capabilities across several different government agencies10 . Since April 2013, Accenture has deployed its Video Analytics Service Platform in Singapore to connect to existing and new sensor infrastructures (including dozens of CCTV cameras), apply computer vision and predictive analytics to surveillance video feeds to detect various events, and generate business alerts for six different government agencies. 4
  • 6. Why Accenture? Building on its strong credentials in Biometrics and Facial Recognition Technology (FRT), Accenture has developed a layered, modular, vendor agnostic solution for video analytics that enables organizations to unlock greater value from their existing CCTV investments. Illustrated in Figure 3, the Accenture Video Analytics offering applies computer vision algorithms to video feeds, adding an analytics layer to existing video surveillance systems to detect events of interest. By applying streaming analytics, the Accenture solution turns these events into business alerts that are displayed on an advanced touch-wall user interface. Developed by Accenture’s Emerging Technology Innovation teams in Sophia Antipolis, France and Bangalore, this software solution is now delivering results for security services, public service agencies and commercial organizations worldwide. 5 Figure 3: Accenture Video Analytics: A layered, modular solution Visualization Core Analytics Data Sources Video AnalyticsVideo Analytics Social Media Listening Sensor Monitoring Operational Systems Monitoring Face Matching CCTV Cameras People 3rd Party Sensors 3rd Party Operational Systems Traffic Monitoring Anomaly Detection License Plate Matching Tracking People Counting Crowd Detection Flow Management Vehicle Classification Operations External Systems Operational and Predictive Analytics
  • 7. The digitalization of video surveillance data, combined with wider availability of advanced video analytics technologies, means that more organizations are turning to these solutions to create intelligent business operations. From automated passport control gates to next-generation applications in safe cities, video analytics is already in use and providing tangible security, business and customer service benefits. As well as applying video analytics to video stream data to obtain deeper, richer operational insights, organizations are taking their situational awareness to the next level and strategically using these technologies to “engage with customers and citizens in new ways. 6 Video analytics: Toward intelligent business operations
  • 8. About Accenture Accenture is a global management consulting, technology services and outsourcing company, with approximately 261,000 people serving clients in more than 120 countries. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Accenture collaborates with clients to help them become high-performance businesses and governments. The company generated net revenues of US$27.9 billion for the fiscal year ended Aug. 31, 2012. Its home page is www.accenture.com. About Accenture Emerging Technology Innovation Accenture’s Emerging Technology Innovation group is responsible for incubating the next generation of Accenture’s technology services. By partnering with Accenture Technology Labs, Emerging Technology Delivery and the Technology Industry Ecosystem, it provides expert services to identify, pursue and deliver advanced and emerging technologies with pioneering clients. Contacts To find out how Accenture can help your organization realize the full potential of your CCTV investments, contact: Cyrille Bataller Managing Director - Emerging Technology Innovation cyrille.bataller@accenture.com www.accenture.com/videoanalytics References 1. www.rncos.com/Market-Analysis-Reports/ Global-CCTV-Market-Forecast-to-2014- IM374.htm 2. ‘Eyes Everywhere’, pub.2011, Routledge 3. http://www.informationweek.com/ government/information-management/whats- next-in-video-surveillance/240155161 4. www.accenture.com/technologyvision 5. http://icetana.com/product/overview/ 6. http://gcn.com/Articles/2013/04/18/How- video-analytics-reconstruct-Boston-Marathon- bombings.aspx?Page=3 7. http://www.dailymarkets.com/ stock/2013/03/25/intelligent-video-surveillance- vca-va-market-worth-39-billion-in-2020-say- new-research-report-at-reportsnreports-com/ 8. National Institute of Standards & Technology (www.nist.gov/index.html) 9. http://www.contingencytoday.com/ companyinformation/Ipsotek-Ltd/1435 10. www.channelnewsasia.com/news/singapore/ new-challenges-to/632142.html Copyright © 2013 Accenture All rights reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.