Page 79 - Security Today, March/April 2024
P. 79

                                                                   analytics and AI into their access control systems to meet the demands for heightened security and safety. These smart tools can be trained to recognize and act on a variety of scenarios – often in conjunction with video surveillance – such as detecting individuals attempting to tailgate entry on someone else’s credentials, verifying license plates authorization before lifting garage entry gates, using face detection to give access to high secure areas, denying access when occupancy limits are reached, preventing people from entering a gated construction site without wearing a hard hat and safety glasses, and so much more.
Because AI-powered access control systems can learn and adapt to changing threats, they are more difficult to breach than previous models. They can make contextual access decisions based on user behavior patterns and dynamically adjust access control policies based on the risk level of different situations.
Equally important, campuses are starting to use analytics and AI to drive access policy enforcement, identify people with inappropriate access, and check compliance to ensure that user access is always up-to-date and compliant with current regulations.
SHIFTING DATA ANALYSIS TO THE EDGE
Because these more advanced access control systems have greater memory capacity and processing power than earlier models, many cam- puses are shifting analysis from the server level to these edge devices.
There are several advantages to implementing this change. Since edge-based analytics can make decisions within milliseconds, campuses can avoid the problematic latency inherent in transmit- ting data to a server and waiting for a response.
Moving analysis to the edge saves on network bandwidth, provides faster and more efficient processing of the data, and keeps the data secure since it is not being transmitted across a vulnerable network. In cloud-based applications, it saves on data storage and transfer bandwidth because it does not rely on remote computing of the data.
TRENDING TOWARDS SMARTER, MORE SECURE ACCESS CONTROL
While advances in access control technology continue to evolve, how campuses choose to incorporate them into their security so- lutions will depend on their changing threat landscape.
Certainly, moving to an IP-based access control system affords greater opportunity to integrate with other security and manage- ment systems already in place to improve situational awareness and streamline management of the entire security ecosystem.
When access control resides on the network, users can re- motely manage devices and monitor the system’s health, to ensure that operations are fully functional, up-to-date and secure. It also opens opportunities for campuses to leverage more advanced ac- cess control features such as smart cards and smart phones, facial recognition and biometrics as well as future innovations that might be on the horizon.
Krieger’s acoustical doors protect against unwanted sound in campus labs, lecture halls, and libraries by exceeding the ANSI S12.60-2002 standard. Plus, they come with a UL 752 bullet resistance rating up to Level 3 for an extra layer of protection.
Enhanced Security Options
UL 752 is the most widely used and accepted rating system for ballistic-grade materials. Krieger’s acoustical door with built-in Level 3 rating will stop 3 shots from a .44 Magnum handgun. Higher ratings up to Level 10 are available, including Level 7, which will stop 5 shots from an AR-15 rifle. For added security, this door can be customized with 5-min. or 15-min. forced entry protection tested to the SD-STD-01.01 standard.
www.KriegerProducts.com
Acoustical Doors with Built-In Bullet Resistance
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