Unusual Behaviour Detection
One area where AI traditionally excels is pattern recognition. We expect the new generation of machine learning to be able to continuously analyze the live stream of access control events and single out the “unusual” cases in real time. For example, someone appearing at unusual time or at unusual place. Or a bunch of events appearing with unusual frequency or clustered in an unusual way. The system could then learn and improve further from human feedback.
Currently there is no straightforward way to extract such information from the access logs, especially in real time. AI detection could prove as an excellent additional security feature, particularly for larger access control systems handling hundreds of doors and thousands of daily users.
System Setup and Management
Access control systems, especially larger ones, are often quite complex to set up. Managing groups of users with identical access rights, users with special access rights, door groups, special doors, door schedules, user schedules, group schedules, and other parameters can be overwhelming.
This is where AI can provide a natural language interface, a chat-based setup and reporting tool. For example, the user may enter something like: “Allow access to Room 122 to all users from Unit XY, except from 10PM to 6AM and on Sundays.” A well-designed chat-based interface would simplify the setup process, eliminating the need for deep menu diving.
Tangential: Tailgating Detection
Although video surveillance falls outside the realm of access control, AI-driven video analytics have the potential to address the challenge of tailgating. Tailgating refers to when multiple individuals enter using a single person’s access badge. While camera-based tailgating solutions already exist, we believe the real breakthrough is still ahead, but not too far in the future.
Conclusion
By harnessing the power of AI, we can expect improved detection of unusual behavior, simplified system setup and management through natural language interfaces, and enhanced security measures against tailgating. As AI continues to advance, access control systems will become more efficient, user-friendly, and effective.
