A reconfigurable multiprocessor architecture for a reliable face recognition implementation

Face Recognition techniques are solutions used to quickly screen a huge number of persons without being intrusive in open environments or to substitute id cards in companies or research institutes. There are several reasons that require to systems implementing these techniques to be reliable. This paper presents the design of a reliable face recognition system implemented on Field Programmable Gate Array (FPGA). The proposed implementation uses the concepts of multiprocessor architecture, parallel software and dynamic reconfiguration to satisfy the requirement of a reliable system. The target multiprocessor architecture is extended to support the dynamic reconfiguration of the processing unit to provide reliability to processors fault. The experimental results show that, due to the multiprocessor architecture, the parallel face recognition algorithm can achieve a speed up of 63% with respect to the sequential version. Results regarding the overhead in maintaining a reliable architecture are also shown.