Topic Name:

Intelligent Identity Recognition System using Biometric Traits (IRBioT)

Objectives

Develop and implement a biometric-based system utilizing facial recognition, gait analysis, and behavioral analysis to accurately identify individuals and restrict unauthorized access to the organizational premises( e.g., Tesla Automated Monitoring System for Tesla Employees).
Integrate multifactor authentication methods, including facial recognition (e.g., DigiYatra) and biometric modalities such as palm print (e.g., Tencent and Visa partners for palm fingerprint to replace Credit Card, Singapore), to strengthen security in restricted areas.
Establish a proctoring system for ensuring exam integrity through real-time monitoring and identity verification during assessments (e.g., Online JEE exam proctoring System using facial recognition and behavioral analysis).
Occlusion Handling, to enhance the system's ability to reconstruct or infer missing biometric information using advanced techniques such as machine learning, computer vision, and deep learning-based image processing.

Issues Involved

Privacy and Security Concerns: Biometric data is sensitive, and ensuring secure storage, processing, and compliance with regulations is critical
Environmental Factors: Variations in lighting, and background distractions can worsen occlusion challenges and degrade system performance
Multi-Modal Biometrics: Combining multiple biometric modalities (e.g., face, gait, palm) introduces complexity in data fusion, synchronization, and decision-making processes.

Team Lead

Dr.Shubha Puthran

Team Members

2.Dr. Pravin Shrinath

3.Dr. Poulami Das