info@isol.pk 2nd Floor, 72, Westend Plaza, Shahrah-e-Quaid-e-Azam, Mozang Chungi, Lahore
Follow Us:
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.

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
  • Liveness Anti-Spoofing Filter Scripts
  • Comprehensive IEEE Project Report (Word DOC & PDF)
  • Defense Presentation Slides (PPTX)
  • Step-by-Step Setup Video Guide

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.

Login to Ask Question
Verified Answers by ISOL Engineers
Z
Zainab Fatima Verified Buyer
2 weeks, 4 days 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.

Customer Reviews

Average Rating

0

Based on 0 reviews

No reviews yet. Be the first to share your experience!

Chat with Support Online