cold-recog

Cold Recog is an system for identifying unidentified deceased individuals by matching facial features with government ID records.

Description

Cold-Recog 📇 - IDENTIFICATION OF UNIDENTIFIED PERSON USING IDENTITY CARD


What is Cold-Recog âť“

Cold-Recog [abbr. Cold-Recog (COLD: Corpse Or Lost Deceased, RECOG: Recognition) – An system for the identification of deceased or missing persons.


Reason


Countless bodies remain unidentified, leaving families in endless grief while NGOs and authorities struggle to trace their identities. 💔 DNA testing costs ₹50,000–₹60,000 and takes weeks—far too long for those desperate for answers. ColdRecog was born from this pain—a hope, a solution, a way to reunite names with the lost. No one deserves to be forgotten. 🕊️

Features



✅ Automated Facial Recognition – Uses deep learning-based facial detection to match unidentified corpses with government-issued ID images.
✅ AI-Powered Identity Verification – Implements TensorFlow and advanced image processing techniques to enhance matching accuracy.
✅ Secure Authentication – Uses JWT-based authentication for secure access to the platform.
✅ Multi-Platform Support – Available as a React-based web app and a mobile app (Expo-based for Android & iOS) for seamless access.
✅ Document Matching & Vectorization – Extracts and verifies identity documents (Govt id cards) using API-based validation and vectorization techniques.
✅ REST API Integration – Efficiently communicates with the backend (Flask-based server) via RESTful APIs for processing and data retrieval.
✅ Scalable & Secure Database – Stores and manages identity data securely for accurate matching and retrieval


Research




To advance our research, we partnered with Uravugal Trust, a respected NGO that has been performing last rites for unclaimed bodies for the past three years. Their extensive experience and insights have been invaluable in shaping our approach. Mortuary & Cremation Study

On August 28th, our team conducted fieldwork at Rajiv Gandhi Government Hospital to gain firsthand experience of the burial process for unclaimed bodies. This visit provided us with both an emotional perspective and a practical understanding of the challenges involved. Following this, we visited a nearby crematorium to further observe and study the procedures.

đź’ˇ Key Insight: According to Uravugal Trust, more than 80% of unclaimed bodies are found without facial decomposition, making facial recognition a viable approach for identification.

Engagement with Law Enforcement


To explore the legal and practical aspects of implementing our solution, we visited the Commissioner of Police’s officein Egmore. During a two-hour meeting, we presented our project to M.S. Bhaskar, Assistant Commissioner of Police (Greater Chennai Corporation).

Team Behind COLD-RECOG

Team Name: 5XA

Team Members :

  • B A Aksshay: GitHub Profile

  • Abishek Renjan U B: GitHub Profile

  • Aakash S: GitHub Profile

  • B A Aswin: GitHub Profile

  • Akash A: GitHub Profile

    Contribution

    We welcome contributions and feedback from the community to enhance our solution. Your insights are invaluable in shaping the future of this project.

    • Contributions: We encourage developers to contribute code, documentation, and ideas to improve functionality and usability.

    • Feedback: Please share your thoughts and experiences to help us identify areas for improvement and feature enhancements.

    • Issue Reporting: If you encounter any issues, we invite you to raise them through our issue tracker, ensuring that we can address them promptly.


    Together, we can create a more robust and effective solution for the society .