Facial Recognition System for Fatigue Detection Using Intel Realsense Technology
Nenny Anggraini, Nurul Faizah Rozy, Reza Ayatuna Lazuardy · 2016
The excess of fatigue could result in someone's death. The result of questionnaire which author had distributed to 50 people that have work hourmore than 8 hour mentioned that 80% respondents detected to be fatigue, but from the percentage of the total, who consulted it to a doctor just as much as 5%. Intel, the giant microprocessor maker in the world, has made a camera that can capture image condition of person's face. In this study, the author used the Intel camera technology to create a system that is capable of detecting fatigue. Face can be used as input of the form PERCLOS, mouth movement, and head nodding. The whole aspect then processed using fuzzy mamdani to form output data of level fatigue user along with its solution. Author used RAD (Rapid Application Development) as developing method, and testing using blackbox and whitebox testing. Method of data collection includes interview, questionnaire and study of literature. System development using C# language, Visual Studio 2013, and Intel Realsense SDK. The testing of application shows from 7 people that test this application 28% of the test results go accordingly to a international testing standards using SSRT (Subjective Self Rating Test).