IPRA: Real-Time Face Recognition on Smart Glasses with Fog Computing

被引：2
|
作者：
Hellmund, Till [1 ]
Seitz, Andreas [1 ]
Haladjian, Juan [1 ]
Bruegge, Bernd [1 ]
机构：
[1] Tech Univ Munich, Munich, Germany
来源：
PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) | 2018年
关键词：
Smart Glasses; Data Glasses; Fog Computing; Real-Time; Face Recognition; Wearable Cognitive Assistant;
D O I：
10.1145/3267305.3274122
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The availability of artificial intelligence and smart glasses, equipped with cameras and displays, presents a strong foundation on which to build a wearable cognitive assistant, a device that provides the user with context-aware information. Although technical challenges such as power consumption and insufficient latency have plagued early versions of such products, developments in fog computing present a potential solution. In this paper, we present an application that uses fog computing to provide real-time face recognition on smart glasses. To understand the impact of fog computing on latency and battery consumption, we compare it with an adapted version that does not rely on fog computing.
引用
收藏
页码：988 / 993
页数：6
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