Access control is an important security issue in particular because of terrorist threats. Access points are increasingly becoming equipped with advanced input sensors often based on biometrics, and with advanced intelligent methods that learn from experience.
We have designed a flexible modular system based on integration of arbitrary access sensors and an arbitrary number of stand-alone modules. The system was tested with four sensors (a door sensor, an identity card reader, a fingerprint reader and a camera) and four independent modules (expert-defined rules, micro learning, macro learning and visual learning). Preliminary tests of the designed prototype are encouraging.
Attacks on civil and institutional objects are becoming a potential threat in several parts of the world. The target might be a bank or a company, and the attack might be motivated by money or ideological reasons, but the essential pattern is the same. Due to the increase of these types of attacks it is important that advanced scientific and technological solutions are applied to real-life applications.
Author: Matjaž Gams and Tea Tušar