This document provides an overview of video and audio analytics technologies. It begins with definitions of analytics and describes how video analytics can automatically process and analyze video data to detect objects, patterns of behavior, and other events. The document outlines several benefits of video analytics, such as increasing situational awareness and improving security. It also discusses audio analytics technologies for detecting gunshots, glass breaking, aggression in voices, and car alarms. The presentation concludes by emphasizing the potential for analytics to greatly enhance surveillance systems.

1. Presented By: Rick Cox – Founder and Senior Consultant
Bastion Preparedness andTraining
Volunteer – McHenry County EMA
Volunteer – McHenry County SAR
Infragard Member – Chicago Chapter

2.  Introduction
 What does “Analytics” mean?
 Basics ofVideo Analytics
 Benefits ofVideo Analytics
 Value Proposition ofVideo Analytics
 Audio Analytics Basics, Benefits, and Features
 Conclusion
ASK QUESTIONS!!!
This stuff isn’t Rocket Science, but it isn’t simple either. Please let me know what I can do to ensure you leave with a better
understanding of the topic than you arrived with!

3.  MerriamWebster Dictionary = “The method of logical
analysis”
 Gartner = "Analytics leverage data in a particular functional
process (or application) to enable context-specific insight that
is actionable.“
 Me =The use of algorithms that enable software to detect
situations significant enough to require human attention.

4.  Video Analytics:
 The use of computer automation to process video to classify people,
vehicle, objects and analyze patterns of behavior
 Video analytics provide structure to unstructured video
 Structure makes video actionable
 The case forVideo Analytics:
 The human brain can process a static image virtually
instantaneously
 However, faced with 30 images a second of high resolution images
filled with small profile objects, the brain fatigues

6.  Increasing camera count reaches a point of diminishing return
 99% of video is never seen. Cameras are not displayed in real-
time and video archives are too large to search effectively
 During crisis situations large numbers of cameras complicate
situational awareness

8.  Many of the issues mentioned in the video have already been
resolved.
 These capabilities are improving all the time

9. Video Analytics are dependent on the cameras providing their feed. Make sure your cameras are providing
sufficient quality to enable the analytics you are hoping to achieve.

10. 640px X 480px
VGA Camera
coverage
2592px X 1944px
5 MP Camera
coverage
6576px X 4384px
29 MP Camera
coverage

11. Video analytics software can process video in
different ways:
1. Real-Time Detections and Alerts
Defining events and scenarios and receiving real-time alerts
when such events are detected
2. Video Search
Searching through recorded video after an incident to
pinpoint specific video footage
3. Business Intelligence
Analyzing video footage and generating statistical reports
from the data collected within the video

12.  Objects in Area
 Object Loitering
 Objects Crossing Beam
 Object Appears or Enters Area
 Object Not Present in Area
 Objects Enter Area
 Objects Leave Area
 Object Stops in Area
 Direction Violated
 Tamper Detection

13.  Security Around Critical Zones
 Increasing awareness (1. display cameras in critical zones only when people or groups of a certain size
are present. 2. detect objects left behind.)
 Incident investigation (1. search for people or vehicles based on size, color, areas entered, loitering etc. )
 Situational awareness during Crisis response (1. with predefined searches, instantly
display thumbnails of all people entering or leaving the facility or an area of the facility.)
 Property protection (detect objects removed from defined areas.)

14.  Security Around Critical Zones
 Increasing awareness
▪ Cost advantage: reduced asset loss, reduced corporate liability, improved citizen safety
 Incident investigation
▪ Cost advantage: direct reduction in labor and overtime from investigations
 Situational awareness during Crisis response
▪ Cost advantage: Improved officer and citizen safety
 Property protection
▪ Cost advantage: reduced asset loss

15. Video analytics instantly detects and learns the monitored
scene upon installation, adapting to changes and movement
patterns without complex manual calibration.
• In the Camera
• Rules Based
• Self-learning

16.  Less human eyes required =
 Personnel cost saving
 Humans not staring at screens, waiting for something to
happen =
 Reduction in personnel burn-out
 Improved awareness of specific events =
 Improved safety or security
 Automated identification of trends or changes to typical
situations =
 Advance warning of potential issues

17.  Sound based rather than the visual ofVideo Analytics
 Can be stand-alone, like ShotSpotter, or tied into aVideo
Surveillance System
 Can be designed for various sound types

18.  The best known Audio Application on the market today is
ShotSpotter

19.  ShotSpotter is an excellent tool for capturing specific
shooting location information
 Unless officers arrive very quickly the shooter could be long
gone before they arrive, making arrests and convictions
harder to achieve

20.  Aggression Detection
 Gunshot Detection
 Glass Break Detection
 Car Alarm Detection

21.  Description:
 90% of physical aggression are preceded by verbal aggression, the
aggression analytics product allows security guards for fast
actions.This aggression detector is capable of recognizing
aggression in a person’s voice. Staff can thus be warned at an
early stage, if someone is beginning to show signs of aggression.
The system automatically and objectively detects (rising) human
aggression, anger or fear, warns staff immediately (by a visual
alert or by triggering an alarm) so that physical aggression can be
prevented. It makes the problem of aggression measurable
(reports).

22. Benefits:
 Early Detection to prevent escalation and/or physical
 Privacy and confidentiality:
 Does not listen to language or words but tone and pitch (works
like a human ear)
What does it listen for?
 Human aggression, anger, shouting.
Applications:
 Commercial Setting, Retail, C-Stores, Public Spaces, MassTransit,
Hospital rooms, and Interrogation Rooms

23.  The Gunshot Detector recognizes firearm discharge in
different settings.Within seconds of a gunshot, the software
accurately classifies and triggers an immediate notification
throughVMS or other source. Security staff can then verify
alarm and reduce the response time of personnel.This
analytic can successfully detect most firearms including
handguns, shotguns, rifles and automatic rifles.

24.  Detection Range:
 Up to 3,000 Ft. = Quiet Environments
 1,500 Ft. = Normal Environments
 300 Ft. = Noisy Environments
 What does it listen for?
 Gun discharge from most commonly used guns, does not work with
weapons with a silencer.
 Applications:
 Education- school and university campuses Commercial- Retail, Banks,
Shopping centers - 70% of incidents occur in either Education or
Commercial settings Public Spaces, City Streets

25.  Product Description:
 The Glass Break Detector software easily integrates into
existing video surveillance systems andVMS, eliminating
additional devices or their installation cost associated.The
detector is designed to classify the breakage of today’s most
commonly used glass including laminated, single or double
plate, tempered and wired glass.The Glass Break Detector
works by analyzing both the initial impact sound followed by
the sound of glass shatter.

26.  Applications:
 Car Dealerships – not cars Car Dealership Building- Yes Parking
Garages – no Commercial Buildings, Retail, Hospital, Banks
 What does it listen for?
 Listens for a combination of the impact sound and the glass
shattering.
 Why is this better than motion detectors?
 With motion detectors, the intruder is already inside. With glass
break detection, an alarm siren can be played to prevent the
intruder to go inside.
 Detection Range:
 Up to 100 Ft. = Quiet Environments 50 Ft. = Normal Environments
25 Ft. = Noisy Environments

27.  The Car Alarm Detector accurately classifies the specific sound
pattern produced in today’s most common car alarms systems.
The software can detect specific repetitive sound patterns of
car alarms up to 300 feet away, making it ideal for any location
with many cars such as a parking garage or car dealership. The
detector allows security staff to deter or improve reaction time
to incidents in real time.

28.  Detection Range:
 Up to 300 Ft. = Quiet Environments
 150 Ft. = Normal Environments
 60 Ft. = Noisy Environments
 Applications:
 Parking garages (Shopping malls, offices, hospital) Transportation
hubs Airports Car dealership
 What does it listen for?
 Looping progression of specific tone patterns

29.  Video and Audio Analytics are powerful tools for the Law
Enforcement and Security professions!
 The enhancement ofVideo Surveillance from the addition of
Video and Audio Analytics should provide improved results of
at least an order of magnitude!
 Design of such systems can be difficult, but the potential
results are worth the effort!

30.  The following companies and organizations provided
information used to create this presentation:
 Avigilon
 AgentVi
 Louroe Electronics
 Alert 101
 SST

31. Video and Sound Service, Inc.
40 West Lake Street
Northlake IL 60164
Phone: 708-562-6316
Web-site www.videosoundinc.com
Rick Cox
Former National Account Executive - Video and Sound Service Inc.
Now Public Sector Account Executive – Tri-Corp Wireless
630-514-8656