SHIELD (System for Halting Illegal Exploitation & Ensuring Lasting Defense) is an AI and IoT-powered system designed to combat human trafficking, with a strong focus on safeguarding women and children. It integrates AI-driven facial recognition, RFID wearables, Zigbee-based communication, ESP32/Arduino hardware, and advanced biometric techniques such as iris scanning for enhanced victim identification.

• AI-Powered Facial Recognition

  • One-image recognition technology for real-time identification.
  • Optimized for low-power IoT nodes integrated with CCTV networks.

• Iris Scanning Technology (New Feature)

  • Software-integrated biometric verification using iris recognition.
  • Ensures higher accuracy when facial features are obscured or altered.

• RFID Wearables

  • Rings, bracelets, and shoes embedded with RFID modules for vulnerable individuals.
  • Provides reliable tracking even if facial identification is not possible.

• Wireless Sensor Network (WSN)

  • Smart nodes (ESP32, Arduino, Zigbee modules) form a mesh topology.
  • Nodes transmit processed detection data securely to the Cluster-head Console.

• Cluster-Head Console (GUI)

  • Built with PySide6 for a user-friendly interface.
  • Provides real-time alerts, victim location, and live tracking.
  • Enables command of nearby nodes by elevating them into high-alert mode.

• Secure Communication

  • AI-driven dynamic encryption for secure transmission of sensitive data.
  • Protects against unauthorized access or data misuse.

• Continuous Learning

  • Machine learning algorithms continuously refine recognition accuracy.
  • Adapts to real-world conditions and emerging threats.

• ESP32 (IoT microcontroller)
• Arduino Uno (Prototyping and control)
• RFID Modules (RC522)
• Zigbee Module (WSN communication)
• Camera Modules (for facial and iris recognition)

• Python (backend AI logic and data processing)
• Embedded C (hardware programming for ESP32 and Arduino)
• PySide6 (GUI framework for the console)
• Deep Learning Models (facial recognition and iris scanning)
• AI-Driven Encryption Algorithms (secure communication)

1. Complaint/FIR is filed → victim details (photo, iris scan, description) uploaded to SHIELD software.
2. Data is distributed across IoT-enabled camera and RFID nodes.
3. Nodes perform real-time facial and iris recognition, along with RFID detection.
4. Upon match, node ID and location are transmitted to the Cluster-head Console.
5. Nearby nodes enter high-alert mode for continuous tracking.
6. Law enforcement receives real-time updates, enabling rapid intervention.

• Scale deployment nationwide by leveraging existing Smart City CCTV infrastructure.
• Enhance iris recognition under low-light and crowded conditions.
• Apply predictive analytics to detect and prevent trafficking hotspots.
• Collaborate with government agencies and NGOs for broader implementation.

Developed by Aditya Gaur, Made with <3 In India!