Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms

In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet Things (IoT) platforms. The main challenges are optimal deployment deep neural networks (DNNs) high variety IoT devices (e.g., robots, tablets, smartphones, etc.), secure management biometric data while respecting users’ privacy, and design appropriate user interaction with facial verification mechanisms for all kinds users. We analyze different approaches to solving these propose a knowledge-driven methodology automated DNN-based FR devices, data, real-time feedback improved interaction. provide some practical examples experimental results state-of-the-art DNNs Intel’s NVIDIA’s hardware platforms as devices.