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ML

ScanSage

TEAM

INTRODUCTION

“A machine learning-based system to detect individuals without ID cards entering a building, with analytics accessible via an Android app.”

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DEVELOPERS Inc

TEAM

INTRODUCTION

Prateek

Sharma

Abhinav

Singh

Arpit

Tyagi

Aditya

Raj

2300330100183

210033010010

2203330109001

210033010016

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Frequent Cases of Security check Failure

Akshat

Rawat

(CSE)

Abhinav

Singh

(CSE)

Arpit

Tyagi

(CSE)

Aditya

Raj

(CSE)

2100330100024

210033010010

2203330109001

210033010016

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Frequent Cases of Security check Failure

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?

ANALYZER

ID

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ANALYZER

ID

ML

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Technologies used:

AI IDENTITY

ANZLYZER

PYTHON

(YOLO_v8)

KOTLIN

MONGO DB

PRACTICAL

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Without our system

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With our System

Secure Environment

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Secure Environment

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ARCHITECTURE

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PRACTICAL

PRACTICAL

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Collects data from all the connected cameras

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Problems Faced:

  • Training the model
  • Setting up database
  • Syncing devices

Future Scope:

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Future Scope:

  • Incorporating large network of CCTV cameras
  • Proper Facial Tracking(Possible Attendance system)
  • Accessing analytics
  • Reminders