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SKU: AI-3

AI Real-Time Face Recognition Attendance & Security System

High-accuracy biometric face recognition attendance and surveillance system using deep 128-d facial embeddings (FaceNet) with anti-spoofing liveness detection.

Quick Summary & Specs

AI Real-Time Face Recognition Attendance & Security System is a complete, ready-to-deploy software & FYP codebase designed for university final year projects, academic research, and full-stack development. Includes complete source code, database schema, setup documentation, and technical support across Pakistan.

24-48h Dispatch Cash on Delivery 7-Day Support & Warranty
Rs 29000.00

50 In Stock
Tested & Quality Guaranteed 100% Tested Source Code with Liveness Detection. Instant Download.
Fast Local & Nationwide Shipping Same-Day Dispatch in Lahore | 2-3 Days COD to Karachi, Islamabad & All Pakistan.

AI Real-Time Face Recognition Attendance & Security System

This engineering project implements an enterprise-grade biometric attendance and access control system. Using state-of-the-art deep facial recognition (FaceNet / Dlib 128-dimensional embedding vectors) and an active blink-based liveness detection model, it reliably identifies registered individuals in real time under diverse lighting conditions while preventing photo/video spoofing attacks.

🧠 Architecture & Tech Stack:

- Core Vision Engine: Python, OpenCV, Dlib / FaceNet, PyTorch
- Detection & Alignment: MTCNN / MediaPipe Face Mesh
- Database & Management: Django 5 Admin Portal with employee registration, department sorting, and instant Excel attendance logging
- Performance: <50ms per-frame recognition latency with 99.38% LFW benchmark accuracy

📦 Complete FYP Deliverables Included:

- Complete Python & Django Source Code with modular architecture
- Pre-trained Face Recognition Model Weights
- Complete Project Report (Chapters 1-7, Circuit Diagrams, Architecture, Testing)
- Presentation Slides (PPTX) & Video Demo

What's Included in the Package:

  • Full Python & Django Web Application Source Code
  • Pre-trained Deep Face Recognition Weights (FaceNet)
  • Anti-Spoofing Liveness Detection Subsystem
  • SQLite / PostgreSQL Database Integration Script
  • Step-by-Step Installation & Setup Video Guide
  • Complete IEEE Format FYP Report & Viva Defense Questions
  • Full Technical Support via WhatsApp

Software Setup & Deployment Guide:

Step 1: Extract Source Code & Docs

Download and extract the complete source code package, database schema, and architecture documentation provided with your order.

Step 2: Install Project Dependencies

Open the project directory in VS Code or your preferred IDE and install the required runtime libraries and packages listed in the setup guide.

Step 3: Configure Environment & DB

Set up your environment configuration variables and run the included database migrations or seed scripts.

Step 4: Launch & Verify Modules

Start the local development server or build executable and test all user, admin, and core functional workflows.

Software FYP Note: Includes 100% unencrypted source code, database files, deployment documentation, and 7-day setup assistance across Pakistan.
Custom Prototyping & FYP Enclosures

Need a Custom 3D Printed Casing or Multilayer PCB?

Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.

Key Features

Efficient Performance Optimized pipeline for low-latency recognition in real-time environments.
Face Recognition It Detects and identifies known/unknown visitors using OpenCV (cv2).
Live Camera Feed Uses DroidCam integration to capture real-time video from mobile or webcam.
Multithreading Support Ensures fast and uninterrupted video streaming while processing face detection simultaneously.

Specifications

Backend Django (Python)
Database SQL LITE
Deployment Dockerized container (manual installation requires extra setup cost of 5000)
Frontend HTML, CSS, JavaScript, Bootstrap
Note If You Need AnyKind of Code Snippet Related To This Project We Will Provide
Ram/Processor 8gb/3.5Ghz

Community Questions & Answers

Have a question about compatibility, code, or delivery? Ask our engineering team or see what other Pakistani makers asked.

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Verified Answers by ISOL Engineers
Z
Zainab Fatima Verified Buyer
2 months, 2 weeks ago

AOA sir, attendance Excel sheet me export ho sakti hai? Aur student photos add krne k lie admin panel hai?

ISOL Engineering Team Aug 16, 2026

Walaikum Assalam Zainab! Yes, the Django portal has a 1-click 'Export to Excel (.xlsx)' feature with timestamps. You can register student faces and manage attendance logs directly through the web UI.

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