Browsing by Author "Saadullah Naeem"

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    Teacher Assistance System
    (University of Management & Technology, 2017) Syed Mohsin Raza; Saadullah Naeem; Hafiz Umer Farooq
    An application that assist Teachers in marking attendance and their student's attendance by simple functions. This application will also give schedule of classes to teacher The application has two parts one is the front end (iPhone) and the second is the server end (online firebase database). The front end is just for the iPhone in which first we capture the images of the user through camera while applying face detection algorithm in order to the detect the face, once we get the detected face we are going to save it to the online firebase database in the user account for which he had signup early. The user is going to login in his account in order to use the app, after login he is going to recognize its face, but for the first time before the face recognition process he is going to asked to train his face recognizer. The user is going to train the recognizer and during this process the images from the firebase database are going to download and saved in his face recognizer, after that he can recognize his face to mark attendance as soon as the attendance is marked the attendance is going to save in the real-time firebase database, but if the internet connection is not available the data is going to save in the cache and then upload automatically as soon as the internet service is available. Teacher daily schedule and complete student information is going to sync fromthe firebase database, which is uploaded by our web portal.
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    Teacher assistance system
    (UMT Lahore, 2017) Syed Mohsin Raza; Saadullah Naeem; Hafiz Umer Farooq
    An application that assist Teachers in marking attendance and their student’s attendance by simple functions. This application will also give schedule of classes to teacher The application has two parts one is the front end (iPhone) and the second is the server end (online firebase database). The front end is just for the iPhone in which first we capture the images of the user through camera while applying face detection algorithm in order to the detect the face, once we get the detected face we are going to save it to the online firebase database in the user account for which he had signup early. The user is going to login in his account in order to use the app, after login he is going to recognize its face, but for the first time before the face recognition process he is going to asked to train his face recognizer. The user is going to train the recognizer and during this process the images from the firebase database are going to download and saved in his face recognizer, after that he can recognize his face to mark attendance as soon as the attendance is marked the attendance is going to save in the real-time firebase database, but if the internet connection is not available the data is going to save in the cache and then upload automatically as soon as the internet service is available. Teacher daily schedule and complete student information is going to sync from the firebase database, which is uploaded by our web portal.
  • Thumbnail Image
    Item
    Teacher Assistance System
    (University of Management and Technology, 2017) Syed Mohsin Raza; Saadullah Naeem; Hafiz Umer Farooq
    An application that assist Teachers in marking attendance and their student's attendance by simple functions. This application will also give schedule of classes to teacher The application has two parts one is the front end (iPhone) and the second is the server end (online firebase database). The front end is just for the iPhone in which first we capture the images of the user through camera while applying face detection algorithm in order to the detect the face, once we get the detected face we are going to save it to the online firebase database in the user account for which he had signup early. The user is going to login in his account in order to use the app, after login he is going to recognize its face, but for the first time before the face recognition process he is going to asked to train his face recognizer. The user is going to train the recognizer and during this process the images from the firebase database are going to download and saved in his face recognizer, after that he can recognize his face to mark attendance as soon as the attendance is marked the attendance is going to save in the real-time firebase database, but if the internet connection is not available the data is going to save in the cache and then upload automatically as soon as the internet service is available. Teacher daily schedule and complete student information is going to sync from the firebase database, which is uploaded by our web portal.