Entries by Evan Youngman

Access Control Systems Based on Physical Attributes

The ultimate access control system would uniquely identify a person and admit that person and only that person independent of whether the person possessed a particular coded card or token and/or knew a particular code. This ultimate identification system would be based on one or more physical characteristics. Nonautomated physical attribute identification systems have long […]

The Five Phases of Access Control

The purpose of access control is to grant entrance to a building or office only to those who are authorized to be there. The deadbolt lock, along with its matching brass key, was the gold standard of access control for many years; however, modern businesses want more. Yes, they want to control who passes through […]

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 […]

Machine Learning to Improve Access Control: Part 1

   With the evolving dynamics of cloud storage and the ability to harness and proactively employ an ever-increasing pool of big data, AI in the form of machine learning and deep learning has become a disruptive technological force in the physical security industry. Advanced AI and low-cost network resources have significantly impacted video surveillance, which […]