Face Recognized Attendance

Face Recognization

  • Government & Civil ID projects
  • Computer Security with FaceTrack enabled logon
  • Corporate Identity management
  • Visitor & Members Identification
  • Specialized applications in Banking, Defence & Security
  • School Attendee and security
The steps of the experiment process are:
  • 1. Initiate capturing the images through the camera which is able to rotate in all direction in the class room.
  • 2. Pre-process the captured images through and extract face image.
  • 3. Calculate the eigen value of the captured face image and compared with that of the existing face images.
  • 4. If the eigen value does not matches with the existing one,save it as a new face image.
  • 5. If the eigen values matches, then the recognition process will start soon.
  • 6. Using PCA algorithm the following steps would be followed
  • 7. Find the face information of matched face image in the database.
  • 8. Update the log table with corresponding face image and system time that makes completion of attendance for an individual students.
  • 9.This section presents the results of the experiments.
This software project uses some basic Dot net API‘s to interact and get the output of local camera. It maybe a webcam or any other attached camera. We use these API’s to get the camera video input to our system. We then use the video data to manipulate and recognize faces in real time. Our system works as follows:
  • The user needs to start the system in visual studio
  • Now the system accepts camera input with the help of Dot net API’s.
  • Visual studio 2008
  • We now set some parameters and start live detection using the video input
  • Our system works and manipulates live video data to identify faces in it
  • Next step is to store these faces based on a matrix form
  • Once faces are recognized and stored we can now detect them
  • Whenever the face reappears it is recognized by name in a real time video and an attendance is marked for that particular person in the database
  • The project is developed on C#.net platform and is supported by a SQL database to store user specific details.
  • Windows XP, Windows 7(ultimate, enterprise)
  • SQL 2005
  • Visual studio 2008
  • Processor – i3
  • Hard Disk – 5 GB
  • Memory – 1GB RAM
  • The software can be used for security purposes in organizations and in secured zones
  • The software stores the faces that are detected and automatically marks attendance
  • The system is convenient and secure for the users
  • It saves their time and efforts.
  • The system don’t recognize properly in poor light so may give false results.
  • It can only detect face from a limited distance.
  • It can also be used in houses and society to recognize the outsiders and save their identity
  • The software can used to mark attendance based on face recognition in organizations

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