21-05-2012, 01:51 PM
Fast Access Control Technology Solutions (FACTS)
[attachment=22572]
INTRODUCTION
Many approaches—of varying degrees of sophistication— to the access control problem for integrated security have been suggested. Some of the approaches have lead to the development of products .At the lowest level of sophistication, an individual presents a valid ID, in the form of a Personal Identification Number (PIN), password, or a card containing an ID number or combination. In this case, the person is telling the system “this is who I claim to be” and the ACS grants access if it finds a match in its database. Therefore, we do not have positive (confirmed) ID. The risks are obvious: an unauthorized person can gain entry by using a legitimate person’s ID or password that is lost, stolen, or deliberately given away.
STATE OF THE ART
Many access control solutions are available off the shelf. These systems support a variety of user authentication mechanisms including: - Proxy badges for low cost authentication - Smartcards for advanced access control functions and support for integrated biometrics - Iris recognition for fast, secure, and highly reliable non-contact identification. Fingerprint ,for low cost authentication in many indoor applications - Hand geometry for robust biometric authentication for harsh environments. All of these methods suffer from lack of ease of use and speed of authentication. A number of approaches to face detection in the visible domain have been studied, such as neural networks, principal component analysis, skin and color analysis . Honeywell labs studied face detection and skin segmentation/fusion in the near infrared spectrum . First, we used the unique properties of the human skin in the near infrared spectrum to perform fusion of two near infrared bands to detect the face and other exposed skin areas of the body.
FUSION OF RFID AND BIOMETRICS
The FACTS system is an access control system that integrates facial biometric and RF technology. The system secures authorized access to enrolled drivers by matching stored facial signatures to a live video sequence of faces captured in real time as individuals drive their cars into the facility.
The FACTS SYSTEM ARCHITECTURE
FACTS system operations are handled by three computers: (a) the FACTS Coordinator that coordinates system events, (b) the TBI computer that connects to the TBI camera and performs driver verification, and © the FACTS GUI (graphical user interface) portable computer (tablet PC or pen computer) displaying information at the guard station. These computers, along with three RF receivers, are connected via TCP/IP network to their respective IP addresses, as shown below.
[attachment=22572]
INTRODUCTION
Many approaches—of varying degrees of sophistication— to the access control problem for integrated security have been suggested. Some of the approaches have lead to the development of products .At the lowest level of sophistication, an individual presents a valid ID, in the form of a Personal Identification Number (PIN), password, or a card containing an ID number or combination. In this case, the person is telling the system “this is who I claim to be” and the ACS grants access if it finds a match in its database. Therefore, we do not have positive (confirmed) ID. The risks are obvious: an unauthorized person can gain entry by using a legitimate person’s ID or password that is lost, stolen, or deliberately given away.
STATE OF THE ART
Many access control solutions are available off the shelf. These systems support a variety of user authentication mechanisms including: - Proxy badges for low cost authentication - Smartcards for advanced access control functions and support for integrated biometrics - Iris recognition for fast, secure, and highly reliable non-contact identification. Fingerprint ,for low cost authentication in many indoor applications - Hand geometry for robust biometric authentication for harsh environments. All of these methods suffer from lack of ease of use and speed of authentication. A number of approaches to face detection in the visible domain have been studied, such as neural networks, principal component analysis, skin and color analysis . Honeywell labs studied face detection and skin segmentation/fusion in the near infrared spectrum . First, we used the unique properties of the human skin in the near infrared spectrum to perform fusion of two near infrared bands to detect the face and other exposed skin areas of the body.
FUSION OF RFID AND BIOMETRICS
The FACTS system is an access control system that integrates facial biometric and RF technology. The system secures authorized access to enrolled drivers by matching stored facial signatures to a live video sequence of faces captured in real time as individuals drive their cars into the facility.
The FACTS SYSTEM ARCHITECTURE
FACTS system operations are handled by three computers: (a) the FACTS Coordinator that coordinates system events, (b) the TBI computer that connects to the TBI camera and performs driver verification, and © the FACTS GUI (graphical user interface) portable computer (tablet PC or pen computer) displaying information at the guard station. These computers, along with three RF receivers, are connected via TCP/IP network to their respective IP addresses, as shown below.