Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Muhammad Fahad RanaSEECSUndergraduateFourth14bscsmrana@seecs.edu.pk
1Hira NaveedSEECSUndergraduateFourth14bscshnaveed@seecs.edu.pk
1Mukarram IshaqSEECSUndergraduateFourth14bscsmishaq@seecs.edu.pk

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: ASURe
Slogan: The computer's watchin' you!
Supervisor Name: Dr. Muhammad Moazam Fraz
Supervisor Designation: Hod Software Engineering
Supervisor School: SEECS
Supervisor Department: Department of Computing
Contact number: 00000000000
Email ID: moazam.fraz@seecs.edu.pk
Abstract:
    The amount of visual data collected from multi-camera surveillance systems is huge but it is not understandable until some meaning is given to it, automated person re-identification becomes neccessary
What is the unmet need in society that your idea will fulfill ?
    Large camera networks generate huge amounts of data that are currently analyzed manually. This is an extremely tedious task making it prone to errors and expensive. With public camera networks increasing in recent years the need for an automated re- identification surveillance system has increased.
Who needs it ? How many would benefit ?
   In public areas surveillance is commonly used to monitor people and their behaviors. Past few years have experienced more terrorist attacks in public places increasing the demand for public safety and protection of valuable assets. Places like parks, educational institutes, banks, government.
How will the solution works
    We will develop a system which works on the live video feed of the cameras. We will use the live video, break it down into frames and apply our algorithms on these frames to identify and match people with our gallery images (existing images we have of people).
Who are your competitors ? How is your solution different
    The security firms and companies providing remote surveillance services. Our solution is unique because we dont use traditional manual surveillance. Our solution is rather less erroneous and is automatic. We can also use the data collected for data mining and analysis.
Status: new
Entry Date & Time: 2017-11-30 (1511)