Development of Security System to Prevent Tail-Gating

The Electronic controlled access is a system that provides power to restrict the movement in any restricted location. The efficiency of the system depends on usage by the one who is granted with the access. The biggest flaw of such electronic control device is the lack of a system to prevent a common practice of “tailgating” or “piggybacking”. The research is aimed to tackle such security issue by using body mass index & image detection technology. An example for this tailgating practice - when two persons entering a same room with single entry/id card. However, this research aims to implement the tailgating/piggybacking detection security system on an embedded system with limited resources. The detection system developed for this research consists of two main components, four camera's and a processor. First image of a moving object is extracted using image detection and stored in the system for future reference. Then two images are taken at the next stage which undergo body mass index (BMI) analysis. To detect tailgating/piggybacking process, in third stage we used the principal component analysis algorithm along with a geometric approach for face recognition. The result of study done with one such embedded system developed by the authors revealed that it can be used to identify the tailgater successfully in various situations and can be implemented in real time scenario.