Page 16 - Security Today, October 2018

line application that would alert management when lines are long, allowing them to open another register to clear the congestion.
These are just some of the many ways edge-based analytics ap- plications can contribute to greater business intelligence. While a one percent reduction in shrink is a pretty good number, a one percent increase in sales is typically a much larger number. With this in mind, end users and integrators may have access to operational, market- ing, advertising and other budgets beyond just security. Working with multiple departments to meet particular needs positions installers to offer more services, and more customization with edge-based video analytics, which helps create long-term customers and consistent rev- enue streams.
From Deterrence to Proactive Security
Initially, surveillance cameras were used mainly for deterrence, and they were bulky, so they could be seen easily. The thought being that highly visible cameras would deter or prevent someone from commit- ting a crime or doing anything malicious. Under this model, video analytics significantly improved forensic viewing capabilities.
Today’s cameras, however, trend toward being sleeker, more co- vert-type models. Many end users choose cameras that are more aes- thetically pleasing, which doesn’t do much for deterrence. Therefore, it’s important for end users to take a more proactive approach to se- curity with their video. We are now seeing a shift toward edge-based analytics applications providing the necessary intelligence to enable greater proactivity. For example, glass-break or audio aggression an- alytics can provide operators with the opportunity to intervene in a situation before it can escalate and become worse.
With the Internet of Things trend we are seeing in the security
industry, other hardware technologies can also be complimentary. As more and more varied systems and devices are connected and integrated, systems are able to deliver even greater intelligence that provide operators, guards, first responders and others with valu- able situational awareness to respond to threats or incidents most effectively.
The analytics market has experienced ups and downs over the years. Many applications oversold and underperformed which left both end users and integrators looking for more. There is a new level of maturity in the market that has realistic expectations and perfor- mance from these types of analytics. The time is ripe for security pro- fessionals to seek out edge-based video analytics applications—and begin testing them and becoming comfortable with them. These so- lutions provide end users with the ability to customize cameras to meet their particular requirements, remove bandwidth and storage limitations, and allow for relatively quick adaptation when video re- quirements change.
Additionally, customers can take advantage of applications that help them increase the return on their video surveillance investment while taking a more proactive approach to security. Remember that an IP camera is essentially an intelligent network device that happens to have a lens, so with all the benefits analytics
applications deliver, it just makes sense to harness
that processing power to offload video processing
from the server to the edge.
Alex Walthers is the business development man- ager, Application Development Partner Program at Axis Communications Inc.
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