Man Overboard!
Saving lives with deployment of video analytics at sea
- By Eric Olson
- Oct 01, 2017
Many of us have gone on a cruise vacation or know of
a close friend or relative who has done so. Cruising
is a popular vacation option enjoyed by families and
individuals throughout the world. What is not so
well known, though, is that man overboard events
continue to be a common occurrence within the cruise industry.
Since 2005, 268 man overboard events have been reported. On
average, 22 people fall off a cruise ship every year, and 86 percent of
those victims do not survive, or are never found.
Accurate Detection
Man overboard events (MOB) can happen at any time during the
day or night, in all types of weather, sea conditions, and from almost
any location on the ship, ranging from a few tens of feet above the
water, to over 180 feet. Falls from these heights can injure, render
unconscious, or even kill the victim. Likewise, falls from ships operating
along northern routes can expose the victim to extreme water
temperatures, which can result in hypothermia and death.
Given these scenarios, one approach to increasing the survival
rate of MOB events is to ensure accurate timely detection, followed
by a rapid response protocol. However, few cruise ships in operation
today have any form of man overboard detection system. Although
they may have cameras and imaging systems to monitor activity on
board the ship, these camera systems are primarily used for basic
surveillance or evidential activities, and are not designed to actively
notify the ship’s crew in the instance of a person falling overboard.
In most cases, MOB events are reported by someone who happens
to notice the fall, or by a member of the person’s party who reports
the person missing. This information must all be verified by the crew
before taking action, which can take a considerable amount of time.
The facts are that the typical stopping distance of a cruise ship is
one mile. If it takes 15 minutes to confirm an MOB event, a ship may
have moved seven miles from the original fall location and a typical
man overboard detection system can report a MOB event in less than
one second.
Detection Using Intelligent Video
Accurately detecting a human falling from a moving cruise ship is
no an easy feat. An object falling from the top level of a large cruise
ship can reach speeds of 70 mph. A MOB system must be able to
detect objects moving at these speeds, while mounted on the ship itself,
which is in a constant state of pitch, roll and yaw. Cruise ships
are also very busy environments, with people moving about, blowing
debris and a variety of normal operational activities that may involve
the movement of items along the side of the ship (ladder deployments,
crew boarding, water spray from decks, etc.). Although most cruises tend to target fair weather locations,
they still experience all types of weather conditions
and sea states. A reliable man overboard
detection system must accurately detect
human falls in all these situations, while
avoiding false alarms and providing the crew
with actionable data to react to the situation.
Although a challenging problem, numerous
companies currently deploy MOB solutions.
PureTech Systems, recently announced
the approval of a patent addressing the use
of video technology for man overboard detection.
Its MOB system captures images using
thermal cameras surrounding the ship’s
perimeter, extending from the lowest passenger
deck to the waterline. Thermal video is
a logical choice for maritime situations, as it
is less susceptible to harsh lighting scenarios,
such as sunrise and sunset. It can also provide
clear images day or night and in most
weather conditions. High resolution thermal
sensors can therefore deliver clear visual indications
of a human target to the crew for
confirmation.
The use of geospatial video further enhances
the detection capabilities of this type
of MOB solution. Geospatial video is the
understanding of where each video pixel
resides in “real” space—meaning latitude,
longitude and elevation. This adds another
dimension to video analysis by allowing the
software to not only understand the physical
location of the object, but also the real size,
speed and acceleration. Therefore, although
an object may be falling at the same expected
speed of a human, a geospatial video solution
can understand that this same object is
too big or too small to be a human, and suppress
the alarm.
The use of opposing cameras provides a
means by which the video analytics can further
confirm the event is happening on the
ship itself, and is not something occurring in
the background, such as on the water, in the
sky or on the dock. In addition to actually
being detected in both images, a detection
occurring between two camera pairs must
pass several additional tests for the duration
of the fall; including time stamp, object size,
object location, object speed, object type and
fall trajectory on both cameras within the
pair before being considered an alarm. This
further ensures that the crew receives minimal
false alarms.
System Integration and
Crew Notification
In the event of a man overboard situation,
accurate detection is only part of the problem.
Systems must also provide a high level
of situational awareness to help the ship’s
crew gain a full understanding of the event
as quickly as possible. MOB systems deployed
with geospatially video analytics have
several unique features.
Image data. Humans inherently rely on
vision as one of the primary senses; the human
mind will rely on its sense of sight as
a means to confirm any other data received.
Using video analytics for detection means
data preferred for validation by a first responder—
still images and looping video—is
instantly available to reduce the time required
to confirm the event. To further ensure rapid
verification, video analytic systems highlight
the potential target with graphical “bounding
boxes” on both still images and full motion
video clips in order to quickly communicate
what event raised the alarm.
Location data. In addition to logging the
GPS location of the ship at the exact time of
the event, video solutions leveraging geospatial
data also provide insight as to the location
the event took place on the vessel itself.
Including location information with each
alarm allows first responders to more quickly
reach the incident location and begin MOB
procedures without the loss of valuable time
typically required to confirm an event and its
point of origin.
Industry Response and
Regulations
Technology providers are not the only institutions
taking actions around the need for
MOB detection and the deployment of solutions.
The United States government identified
a need for increased measures to detect
MOB situations in 2010 when it released the
Cruise Vessel Security and Safety Act (CVSSA).
The act applies to cruise ships carrying
more 250 passengers on international voyages
in which passengers embark or disembark
in any US port. It calls for automatic manoverboard
detection/monitoring systems
within 18 months of the technology becoming
available.
Since the first release of the act, several
companies have stepped forward to prove
their detection capabilities, prompting the
current revision of the act and the development
of an international standard for these
man-overboard systems by the International
Organization for Standardization (ISO).
Various cruise lines are also proactively
testing the new technology ahead of the
formal release of the ISO standards and the
CVSSA requirements to ensure they understand
how to most effectively incorporate
this technology as an integral part of their
safety systems.
Other Industries
While having tremendous potential to cater
to the current requirements of the marine industry
in detecting, recording and reporting
man-overboard events in real time, this technology
is directly applicable to the broader
safety category of “long fall events.” In addition
to other maritime industries, including
ferry operators, oil platforms, commercial
shipping and military vessels, these types
of falls can be a safety concern to other nonmaritime
industries, such as bridges.
The cruise line industry has recognized
the need for man overboard detection systems
and many manufacturers have invested
research and development to create technology
which results in accurate detection and
notification, including systems based on
the use of geospatial video analytics. These
video-based systems monitor thermal images,
process them using intelligent video
algorithms and combine this data with geospatial
techniques. This results in not only
highly accurate detection capabilities, but
also a complete solution which supplies crew
members with critical event location data to
reduce the delay between
the time of the event and
the deployment of rescue
procedures.
This article originally appeared in the October 2017 issue of Security Today.