Clinton Naidu Student Attendance using Biometrics 21... · 2020-03-11 · Types of Physiological...
Transcript of Clinton Naidu Student Attendance using Biometrics 21... · 2020-03-11 · Types of Physiological...
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Student Attendance using Biometrics
Session 21Clinton Naidu
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Biometrics
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Types of Physiological BiometricsHAND• Fingerprints
– Looks at unique ridges on the fingers
• Finger and Hand Veins– Analyses the
patterns of blood vessels visible from the surface of the skin.
• Hand Geometry– Measurement of
hand characteristics like the length and width of fingers
EYES• Iris Recognition
– Measures the unique folds of the thread-like muscles
• Retina Scan– Captures
capillaries deep within the eye
FACE• Facial Recognition
– Measures the geometry of the face
EARS• Ear Shape
– Measures the ear’s acoustics using special headphones and inaudible sound waves
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Types of Physiological BiometricsVOICE• Voice Recognition
– Looks at what a person’s voice sounds like, as well as how they speak
BODY TEMPERATURE• Thermography
Recognition– Captures heat
patterns caused by moving blood beneath the skin, measuring the uniqueness of the blood vessels
DNA• DNA Matching
– Looks at the uniqueness of each person’s DNA
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Biometrics Recap
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Safe, Smart CampusSecurity
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Facial Recognition
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DUT Exam Access PoC• Aim of the PoC
– Adapt IT in collaboration with Raphta and DUT looked to enhance DUT’s exam attendance process.
– The following is what the PoC wanted to achieve:• Identify the students that were entering the venue by
running their faces against the student card photo in the ITS Integrator database
• Verify the students that had been successfully identified against the exam schedule
• Write the attendance data back to ITS Integrator for reporting purposes
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DUT Exam Access PoC• Success Criteria
– Match or better the time it took for an invigilator to verify a student upon entrance to the exam venue.• Only 1 exam venue was selected for the PoC.• The PoC was run for the duration of the supplementary
exams in December 2019.
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DUT Exam Access PoC• Solutions Used
– Raphta’s Shuri facial recognition– Adapt IT’s exam attendance app– ITS Integrator– Jasper
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DUT Exam Access PoC• Inhibitors
– The existing student images from DUT were of very poor quality• To counter this, the team decided to sample students
who were going to be writing an more than one exam in the venue. These students were onboarded with better student images at the venue.
– Load shedding caused the cameras to loose power as well as cause network drops
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DUT Exam Access PoC• Lessons Learned
– Must have high quality student images– Must have UPS on cameras and network– Must have better placement of cameras
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Adapt IT’s Exam Scanning App
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Adapt IT’s Exam Scanning App
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Biometrics Development update• Phase 1: Exam Access
– Exam scanning app is based on development that NUST let Adapt IT use as part of the NUST – Adapt IT Partnership
• Phase 2: Class Attendance– Still in development
• Phase 3: Campus Access– On roadmap
• Focus is currently on Fingerprint biometrics and Facial Recognition
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