Abstract
Proliferation in technological advancements has leveraged the evolution of cell-phones as powerful smart-phones with high computing competence. Integration of sensors and high definition camera has empowered the smart-phones as a tool to solve real world problems. Multiple applications of face recognition have been developed to address the security challenges using the computation power of handheld (mobile) devices. However, one important limitations of mobile devices is energy efficiency. This work has proposed an energy efficient fog-based face recognition using mobile platform. The architecture in proposed system initially performs the facial part detection on mobile device and uploads the selected part by discarding the rest. This reduces the network traffic and attempts to reduce energy consumption. Preliminary results have indicated a saving of approximately 93% of energy in mobile devices.
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