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Optimization of Face Recognition System Based on Azure IoT Edg
2019
Computers Materials & Continua
With the rapid development of artificial intelligence, face recognition systems are widely used in daily lives. Face recognition applications often need to process large amounts of image data. Maintaining the accuracy and low latency is critical to face recognition systems. After analyzing the two-tier architecture "client-cloud" face recognition systems, it is found that these systems have high latency and network congestion when massive recognition requirements are needed to be responded, and
doi:10.32604/cmc.2019.06402
fatcat:vutefexf7bc5tcpwutkqgf37u4