Machine Learning to Improve Access Control: Part 2

The “Covid Factor”
 
Covid-19 has changed the way both people and organization view nearly every aspect of interaction almost overnight. From opening the door and interacting with access control measures to rethinking how much of business even needs to be conducted on-site, this re-imagining has actually come at an opportune time relative to recent advancements in access control. Contactless systems are the preferred method for ingress and egress, and this has already been a trend in the industry for some time.

Whether it be an office, hospital, university campus or industrial plant, compliance requires either eliminating manual door activation, for example a hand pressing a switch or using a handle to open a door, and replacing with an automated “no-touch” solution or, when that isn’t desired or possible, enabling the manual door activation to be done with another part of the body (i.e., arm, elbow, hip, knee or foot), which is referred to as a manual ‘low-touch’ solution.
The use of touchless switches (also referred to as “no-touch” or “hands-free” switches) to activate automatic door operators or de-energize locking devices is increasing at an unprecedented rate. It’s very likely that touchless switches could become more common than push plate switches in the not too distant future.

How AI Will Power The Change
 
The addition of cameras to high risk portals has been an early example of this integration trend, enabling managers to be able to tie what took place at an entrance to a corresponding alarm condition such as a forced or jammed (propped) entrance/ exit. This capability can be further enhanced by analytics – for example, facial recognition could be used to determine which individuals might have set off the alarm condition. Analytics and other sensors could count the number of people that move through a portal during rush periods in “open” mode and also determine that a crowd has gathered and more doors/portals need to be opened to address the burst in demand for ingress or egress.
“From a design perspective there is an increasing demand, due to COVID-19, for touchless access. In this case, the integration of technologies and the use of machine learning can be leveraged to provide efficient, safe and secure access. Machine learning and AI are well adapted to leveraging data sets and, over time, gaining an understanding of conditions and matching them to access control and individual requirements,” said Salvatore D’Agostino, the CEO of IDmachines.

D’Agostino sees the convergence of AI into security spaces, not known for their reliance on analytic data, reshaping the landscape. AI can be used as a proactive step against intrusion at a security entrance like a swing door or turnstile and integrated into the access control and video security systems to provide rich analytics and situational awareness.

Emphasizing “What is Going to Happen”

 

“It has long been known that there are often patterns to humans, and to the same extent, enterprise behavior. Access control, surveillance, and intrusion detection systems collect large amounts of data that is often stored and then deleted without much analysis.
Enterprises are now more attuned to the ability to leverage this ‘big’ data. These are evolving now to common data formats, real-time analytics and predictive tools. There seems like there would be a similar evolution in the capabilities of physical security systems where it is not so much what is happening at a turnstile, swing door or entryway, but what is going to happen,” D’Agostino said. “This would leverage the existing systems, sensors and data collection capabilities and use big data, and analytics to drive management and monitoring. The more that physical security systems adopt standard data types, sets and structures (using syslog for logging is a simple example) and the more intelligent these systems become, the more intelligence can be put into predictive analytics.”
—————————————————————————————————————————————
Security Technology of South Texas is a local leader in access control, video surveillance, and community management systems in the South Texas area. Get in touch with us today to see what we can do to help secure your location.

STST Inc.
Please contact us through email at admin@gostst.com
Through our website form :

Or by phone at  210-446-4863   24/7