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Home » Impact of Artificial Intelligence (AI) on Physical Access Control

Impact of Artificial Intelligence (AI) on Physical Access Control

  • Oloid Desk Oloid Desk
  • January 16, 2023
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Artificial Intelligence (AI) is a rapidly growing field that is changing the way we live and work. One area that has seen a significant impact in recent years is physical access control. The physical access control systems are advancing, with the integration of AI technology providing security and convenience to businesses and SMEs. In this article, we will explore the impact of AI on physical access control and how it is being used to improve both security and convenience. 

The current state of physical security

Security technology is in a constant state of development to defend against emerging threats. Various technologies such as network security, cloud security, and application security that employ techniques such as authentication and threat detection are currently available. However, security breaches still happen and many organizations are not adequately prepared. The future of security is expected to be an advanced and intelligent system.

What is physical access control?

To begin with, physical access control is the use of technology to grant or deny access to buildings, rooms, or other secure areas. It involves the use of various systems and devices such as keycards, pins, and biometric authentication methods to ensure that only the right individuals gain access. It is an important aspect of security for SMEs or companies as it helps to protect sensitive information, prevent unauthorized access, and protect physical access. According to a report by Fortune Business Insights, the global access market size is projected to reach $25.22 billion in 2027, at a CAGR rate of 8.7%.

How is AI transforming physical access control?

AI improves physical security by providing more accurate and efficient measures than traditional systems. Here’s a quick comparison between the two types of access control technologies:

Traditional Access Control
AI-enabled Physical Access Control
Manual monitoring and management required
Automated monitoring and management
Limited scalability
High scalability
A reactive approach to security
A proactive approach to security
Limited integration with other systems
Advanced integration with other systems
Limited ability to predict potential threats
Advanced ability to predict potential threats and security breaches

Leveraging AI to improve physical access control

AI technology is transforming physical security in several ways:

  1. Security Improvements: Using AI in physical access control improves security by using advanced biometric authentication methods like facial recognition or fingerprint scanning, making it more difficult for unauthorized access.
  2. Threat Detection: AI revolutionizes physical access control through threat detection using machine learning algorithms to detect and respond to potential security threats, such as triggering an alarm or alerting security personnel for attempted break-ins, preventing unauthorized access and protecting sensitive information and assets.
  3. Adaptive Systems: AI access control systems can integrate with building management systems for comprehensive security and adapt to user behavior, such as adjusting lighting and temperature based on time of day and user preference.
  4. Remote Management: AI and IoT integration allow for remote management and monitoring of physical access control systems, enabling administrators to grant/revoke access, monitor logs, and receive alerts of security breaches.
  5. Convenience for users: AI-enabled access control systems offer improved convenience for users by eliminating the need for physical keys or cards. Users can gain access using fingerprints or facial recognition, improving the overall experience.

Finally, AI-based systems can continuously learn from past data and experiences to improve the accuracy and efficiency of the physical access control system over time. This allows for a more secure and convenient system that adapts to the changing needs of the organization over time.

What does the future look like?

The future of physical access control is likely to be characterized by continued advancements in AI and biometric technology. Key trends shaping the future of physical access control include:

  • Increased use of biometrics: Biometric authentication methods, such as facial recognition and fingerprint scanning, are becoming increasingly popular. As the technology improves, we can expect to see more widespread use of biometrics in the future, with more accurate and reliable methods of identification. The global biometric technology market is forecasted to reach $55.42 billion by 2027.
  • Cloud-based solutions: As technology advances, physical access control systems are shifting towards cloud-based solutions. This shift allows organizations to manage and monitor their systems remotely, making it more convenient to keep them updated and secure.
  • Multi-factor authentication: Instead of relying on just one method of identification, such as a keycard or PIN code, users will be required to provide multiple forms of identification before they are granted access. This will make it more difficult for unauthorized individuals to gain access.
  • Privacy-enhancing: As data collection increases, privacy will be crucial in physical access control systems. Systems will be designed to protect personal data and obtain user consent before sharing.

Artificial intelligence is having a significant impact on physical access control, with the ability to improve security and convenience for users and SMEs. However, it is important to consider the potential challenges such as protecting personal data and maintaining system security. As technology continues to evolve, it will be important to strike a balance between the benefits and risks of using AI in physical access control. Oloid’s cutting-edge technology incorporates the latest AI technologies to provide a safe, secure, and efficient physical access control system.

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