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The face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary traditional way of recording attendance involves human intervention and requires cooperation of the students which is hectic and contribute towards waste of class time. An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them. The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is recognized using Local Binary Patterns Histogram.

Python 67.73% kvlang 32.27%
opencv kivy viola-jones lbph classroom-attendance hacktoberfest hacktoberfest2020

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I Love Everything That Makes Me More Human

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Hey there, I am Nischal. I am a Student, a Developer, and an Inventor, dating life since the past XX years and have decided to stay here for 100 years.

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大佬,跑不起来这个项目
Take Training Images 无法应
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