Project Documentation: eKYC Module - Pose Challenge System

The eKYC Video Challenge repository provides a robust solution for digital identity verification using AI-powered video processing. It offers a comprehensive framework for automating the Know Your Customer (KYC) process through video-based authentication, enhancing security and user experience. This module uses advanced algorithms to analyze video footage, compare it against provided documents, and confirm the authenticity of a person's identity in real-time.

Key Features

• AI-Powered Face Matching - Uses facial recognition to verify the identity of users.
• Real-Time Video Processing - Ensures seamless and fast verification by processing video footage in real time.
• Enhanced Security - Combines multiple layers of verification to prevent fraud and identity theft.

Use Cases

This eKYC module can be implemented in various industries, including:

• Banking and Financial Services: Automating customer onboarding, enhancing security for online banking, and ensuring compliance with regulatory standards.
• Telecommunications: Simplifying the user registration process and preventing fraud in SIM card activation.
• Healthcare: Verifying patient identities for telemedicine services, ensuring secure access to medical records.
• E-Commerce and Online Marketplaces: Verifying buyer and seller identities for enhanced trust and safety.
• Government Services: Enabling secure and efficient access to online public services and benefits.

By using video-based eKYC, businesses can reduce fraud, improve user experience, and meet regulatory requirements for identity verification in digital transactions.

Latest Updates 🔥

• [2024/12] [Initial Project Development] Simple pose challenge.
• [2024/12] [Reference] Implementation of realtime head pose detection project for eKYC module: Github - Realtime Head Pose Detection

How to Run App

1. Start Pose Detector Application

   # NOTE: Activate the python environment before run the app !!!
   source <your_env_path>/activate
   
   # Run App
   uvicorn app:app --host 0.0.0.0 --port 8000 --reload
   
   # Run App in Background
   nohup uvicorn app:app --host 0.0.0.0 --port 8000 > app.log 2>&1 &

2. Open index.html in browser

Project Directory

📂 root
├── 📂 project_docs
│   ├── 📂 examples
│   ├── 📂 project_assets
│   ├── 🐍 project_info.py
├── 📂 test
├── 📂 utils (functions and classes)
├── 📄 requirements.txt
├── 📄 README.md
├── 🐍 app.py
├── 🌐 index.html

System Communication Architecture

Pose Detection Api Documentation: http://localhost:8000/docs

Preview