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- W4386870036 abstract "Detection of alcohol consumption is critical for ensuring fitness for duty (FFD) at workplace. It ensures employee safety and productivity by reducing accidents and injuries while improving work efficacy. In this paper, we propose a framework based on teacher-student collaborative knowledge distillation for detecting alcohol consumption in NIR (Near-Infrared) iris images. Specifically, this research focuses on analyzing the impact of alcohol consumption on iris and pupil movements. We provide interesting experimental analysis and related discussions that demonstrates suitability of NIR camera based captured iris images for detecting alcohol consumption. Furthermore, this research can be seen as a progressive measure towards integrating alcohol detection in iris based biometric authentication systems." @default.
- W4386870036 created "2023-09-20" @default.
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- W4386870036 date "2023-01-01" @default.
- W4386870036 modified "2023-09-27" @default.
- W4386870036 title "Teacher-Student Synergetic Knowledge Distillation for Detecting Alcohol Consumption in NIR Iris Images" @default.
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- W4386870036 doi "https://doi.org/10.1007/978-3-031-44240-7_16" @default.
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