Paper Key : IRJ************957
Author: Miss.pallavi Kisansing Bhais,Miss.tanuja Balaso Waghmode,Mr.sandesh Santosh Ombase,Miss.vaishnavi Adanda Domb,Miss.sayali Laxman Jadhav
Date Published: 03 Jan 2025
Abstract
Criminal face detection is a pivotal application of artificial intelligence (AI) and computer vision in the domain of law enforcement and public safety. This project focuses on developing an intelligent system that identifies and verifies individuals with criminal records by analyzing facial features. Leveraging advanced machine learning algorithms, including convolutional neural networks (CNNs), the system is trained on a diverse dataset containing facial images of known offenders. The solution incorporates face recognition, feature extraction, and real-time matching to identify suspects in surveillance footage or public areas. Ethical considerations, such as ensuring accuracy to avoid false positives and maintaining data privacy, are central to the system's design. The implementation also addresses challenges like variations in lighting, angles, and facial expressions to improve reliability in diverse environments. The proposed criminal face detection system has the potential to assist law enforcement agencies by automating the identification process, reducing manual efforts, and enabling faster responses to potential threats. Future enhancements may include integrating with national databases and employing deepfake detection to combat adversarial attacks.