UNIVERSITY OF MANAGEMENT AND TECHNOLOGY

Vision and Image Processing (VIP)

Final Year Projects

Human Fall Detection (June 2013 to Present)

Description

Video summarization , (Fall detection) is a system that monitors environment of home using cameras and looks for the people present in the images if some certain person falls down it can do number of things like alarming some authorities or informing some particular person by email, text message etc. its major application is monitoring the elderly in house hold environment, where some fall of the person can be a serious situation.

Students:

  • Muhammad Muaz (081220062)
  • Aliza Fatima (12020020118)
  • Fatima Idrees (101620074)

Advisor: Syed Farooq Ali
Co-Advisor: Noman Nazar

Awards & Achievements:

  • Research Paper Published S.F. Ali, M. Muaz, A. Fatima, F. Idress and N. Nazar, "Human Fall Detection", presented at the 16th International Multi Topic Conf. (INMIC), Lahore, pk, 2013.
  • National ICT R&D Funded for Final Year Project (FYP) 2012-2013.
  • Won 2nd Position at SofExpo December 2013 in Best Final Year Project Category.

Video Summarization (Fall 2012 - Fall 2013)

Description

Intelligent surveillance camera is also a video monitoring system that continuously monitors the video and notifies when some particular behavior is seen in some individual. 

Students:

  • Waqas Hamid (091320008)
  • Adeel Tariq (091320049)

Advisor: Syed Farooq Ali
Co-Advisor: Noman Nazar

Awards & Achievements:

  • National ICT R&D Funded for Final Year Project (FYP) 2012-2013.
  • Won LUMS CATAR 2012 in Best Innovative Idea Category
  • Got 1st position in Innovative Idea category. 150 students from different reputable universities including NUST, COMSAT, GIKI, LUMS etc participated. Out of those 150 students 75 students were selected and out group got 1st position in CATAR Innovative Idea Category.
  • Won 2nd Position at SofExpo March 2013 in Innovative Idea Category.

Attendance System Using Face Recognition (Fall 2012 to present)

Description

The idea is to mark the attendance using camera based on face detection. The person entering into an office, software house or any organization would look at the camera for 2 to 5 seconds and his attendance would be marked. Students would be able to develop a product and that product can be used in different offices and organizations. The product can be development in matlab, C/C++ using Open CV, Java etc., Student are welcome to chose any of the above mentioned languages or their own preferred languages.

Students:

  • Touqeer Attique (091420176)
  • Mohsin Ijaz (091420035)

Advisor: Syed Farooq Ali
Co-Advisor: Dr. Malik Tahir

Awards & Achievements:

  • National ICT R&D for Final Year Project (FYP) 2012 to 2013

Virtual Classroom (Spring 2012 - Spring 2013)

Description

Virtual Classroom is an online Learning System, that provides live interaction between the students and the tutor. It provides the feel and ways of the actual classroom.

Students:

  • Umair Mir (081220013)
  • Shahid Islam (081220117)
  • Waqas Khalid (081120106)
  • Zafar Khan (081220081)

Advisor: Syed Farooq Ali

Achievements:

  • Journal Accepted
  • The project got a journal paper titled ''Virtual Classroom An Easy Solution to E-learning System" accepted in International Journal of Computer Science Issues (IJCSI). IJCSI has an impact factor of 0.242. IJCSI can be indexed by CiteSeer, Google scholar,arXiv.org, Scribd, SCIRUS, Sensei, .docstoc, SciRate.com, Directory of Open Access Journals, Base, ScientificCommons.
  • "Z. Khan, U. Nasim , S. Islam, W. Khalid, and S. F. Ali, "Virtual Classroom An Easy Solution to E-learning System," International Journal of Computer Science Issues, Vol. 10, Issue 4, Mauritius, July 2013 (Accepted)."
  • Got 4rth position in SofExpo 2013.

Thumb Recognition System (Fall 2012 - Summer 2013)

Description

A hand and finger print recognition system that can identify different people according to their hand and finger print and can also perform as a mini fun palmist.

Student:

  • Hafsa Mateen (091420359)

Advisor: Syed Farooq Ali
Co-Advisor: Noman Nazar

Awards & Achievements:

  • National ICT R&D for Final Year Project (FYP) 2012 to 2013
  • Caricature and Photo to Cartoon (Fall 2012 - Summer 2013)

Description

Caricature and photo to cartoon conversion is a system that takes in a photo and converts it into a cartoon, it allows certain parts of the photo to be enlarged or modified in such was that the original photo becomes more similar to the desired cartoon image. For example if cartoon of some normal person is to be made to look like a celebrity certain features like: mustache, big head, big nose etc can be applied which turn the original photo more similar to the cartoonish version of that celebrity.

Students:

  • Irum Pervaiz (091420196)
  • Dima Naeem (091420249)

Advisor: Syed Farooq Ali
Co-Advisor: Hafsa Zafar

On the Frontiers of Face Recognition (Fall 2013 - present)

Description

Face Recognition classroom attendance system also looks for faces of students present in classroom and automatically marks attendance of students present in class.

Students:

  • Ghulam Kibria (101620014)
  • Isra Anwar (101620142)
  • Shah Nawaz (101620011)

Advisor: Syed Farooq Ali
Co-Advisor: Dr. Malik Tahir Hassan

Safety Driving (Fall 2013 - present)

Description

The main focus of this project is to develop an intelligent camera to provide safety to the drivers of car. The camera would be mounted in the car and it is monitoring the driver. If the driver is drowsy, angry, inattentive etc., then the intelligent camera would alarm the driver/car owner. The product (intelligent camera) can be mounted in any car and can provide an economical solution.

Students:

  • Muhammad Jabbar (101620160)
  • Muhammad Jawwad (101620180)
  • Abdul Razzaq (101620169)
  • Irfan Sattar (101620099)
  • Muhammad Umair Tariq (101620047)
  • Hamza Jamil (111720010)
  • Talha Jamil (111720029)
  • Ahsan Chaudhary (111720028)
  • Zohaib Arshad (111720034)
  • Ghulam Mohyuddin (111720007)
  • Shahzad Shahid (111720019).

Advisor: Syed Farooq Ali
Co-Advisor: Mubasher Baig

Blood Donor System (- Fall 2013)

Description

Blood donor system is a system to provide ease of access and efficient method of checking for the availability of blood donations. Moreover, its smooths out the process of donations for people, is less time consuming as people willing to donate and take help from the system can easily interact and in less time.

Student:

  • Rizwan Munawar (081120111)

Advisor: Syed Farooq Ali

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