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FIXED-TO-MOBILE, AI-POWERED VIDEO ANALYTICS FOR BUILDINGS

Published Date November 16, 2022 Author Pedro Pereira



Smart buildings deliver continuous streams of data from sensors, cameras, and
other devices to optimize operations and respond to user needs. With AI-powered
video analytics, building operators can easily process this data. But these
building solutions are usually within permanent structures supporting fixed
surveillance systems. Many locations, including construction sites, temporary
work sites, parks, event venues, and other in-field settings, need mobile
surveillance units because they are typically not equipped with video cameras or
analytics.

One company facing this situation turned to Megh Computing, a video analytics
solution provider, about a Mobile Surveillance Unit (MSU). It needed an
advanced, cost-optimized, AI-based video analytics solution to monitor 5,000
mobile sites, all on solar power.

Existing MSUs typically use expensive “smart cameras” with analytics that detect
intrusion. Since the AI models used in these devices are not very robust, they
generate many false positives, which increase operational costs in monitoring
the alarms and the bandwidth required for the backhaul.

Megh Computing introduced a new MSU, with an Intel® Core™ i3 NUC processing
streams from four standard cameras on the unit. The system uses advanced deep
learning models based on an Intel® Distribution of OpenVINO™ Toolkit-supported
inference engine for detection of people and objects. Prabhat K. Gupta, CEO of
Megh Computing, says, “Since these models deliver high operational reliability,
Megh is able to virtually eliminate incidents of false positives, reducing
operational costs for monitoring.”

The MSU’s video analytics pipeline is highly optimized and controlled by a
motion filter that reduces overall power consumption for the system to less than
the required 15W. This system also generates savings from lower communication
and camera costs, resulting in compelling ROI.

“You want to be able to monitor any situation or crowd to see what’s happening.
With an MSU, you can quickly roll the thing up, put it up, and start monitoring
in conjunction with security staff,” Gupta says.

Companies that invest in costly #video systems want to be able to analyze
streaming #data and gain business #insights from it. @meghcomputing via
@insightdottech


CUSTOMIZED SMART BUILDING SOLUTIONS

Megh Computing leveraged its expertise with its VAS (Video Analytics Solution)
for Smart Buildings to create the mobile option for its customers. VAS is a
highly customizable solution that can target different hardware architectures
and can be deployed from the edge to the cloud. VAS processes data from both
cameras and sensors. It has been deployed in a variety of environments,
including smart cities, smart warehouses, and retail locations.

VAS applies AI deep learning to accurately detect people and objects, and also
anomalies in human behavior, to reduce physical risks. This was an important
aspect to bring to its MSU solution.

“Obviously, there’s an explosion of data at the edge, and most of the data is
video,” says Gupta. “And, except for data used to respond to security incidents,
most of it is never analyzed.”

Companies that invest in costly video systems want to be able to analyze
streaming data and gain business insights from it. For instance, how many people
use a company’s spaces at any given time, and for what purpose? The answers can
lead to operational improvements, such as better traffic flow and smarter
security controls. Think of a retail kiosk. By monitoring the space, Megh’s
solution can determine how long people wait in line, so the retailer can add
another kiosk to avoid lost sales.

“We can also monitor space usage,” says Gupta. “We can see how people are
spending time in work areas throughout the day. That helps with facility
planning, for example.”


REDUCE FALSE ALARMS WITH AI-BASED SECURITY SOLUTIONS

Besides offering customization and mobility, Megh Computing addresses a common
problem with video analytics: the high rate of false alarms. A security firm
turned to Megh when it was experiencing this problem.

After piloting Megh’s solutions side by side with their existing platform, the
company made the switch. “The operator said we were basically able to eliminate
all of their false positives,” Gupta explains.

Megh Computing minimizes false alarms through the use of its advanced AI deep
learning models and its ability to continuously update these models for improved
accuracy, using its continuous training framework. “This is a unique capability
that assures that when the system issues an alert, the person who receives it
can feel confident it’s real and take appropriate action to prevent a security
incident,” says Duncan Moss, Principal Engineer at Megh Computing.

For instance, a car dealership uses the platform for after-hours monitoring. If
someone acts suspiciously on the lot, intelligent cameras can guess the person’s
intent by tracking their movements and alerting a security guard. An individual
who moves from car to car, stopping for a few seconds by each vehicle, may plan
to break in and steal a car. “That’s an example of how we are using a technology
for behavioral analysis and prevention,” Moss says.


END-TO-END ADVANCED SECURITY SOLUTIONS

Megh Computing not only looks at situational monitoring of spaces but aims to
address cybersecurity in its solutions. “People who are trying to break in can
break in physically or electronically. If you want to provide complete security
for an enterprise, you’ve got to look at both aspects,” Megh CEO Gupta says.

For example, VAS addresses the cyber aspect by monitoring network packets for
congestion and signs of distributed denial of service (DDoS) activity. Thus,
Megh provides a single platform for both physical security and cyber security
threats.

To deliver all these capabilities, Megh Computing partners with Intel for its
advanced AI hardware and software platforms. Megh’s solutions are certified as
Intel Market Ready.

Going forward, Megh plans to continue leveraging the Intel relationship, not
just for technology but also to widen its market reach. Having gained traction
in smart buildings, Gupta says the company now targets retail and smart
warehouses, too.

As it does, Megh will continue to look for more opportunities to deploy MSUs.
After all, security and safety shouldn’t be confined to buildings; it’s needed
wherever there is risk. 

 

This article was edited by Christina Cardoza, Associate Editorial Director for
insight.tech.


ABOUT THE AUTHOR

Pedro Pereira has covered technology for a quarter century. He has freelanced
for some of the biggest names in IT publishing and an extensive list of
marketing agencies and technology vendors. He was a pioneer in covering managed
services and cloud computing, and currently writes about cybersecurity, IoT,
cloud, and space. He holds a degree in Journalism from UMass/Amherst.

Follow on Linkedin More Content by Pedro Pereira
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