Real-Time Image Processing for Automated Criminal Identification
Volume: 13 - Issue: 11 - Date: 01-11-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU425 | Page No.: 2278 -1412
Author: Bhad Sainath Asharam
Co- Author: Mr. Jeetendra Singh Yadav
Abstract:-This paper The development of an Automated Criminal Identification System utilizing real-time
image processing marks a significant leap in facial recognition technology for law enforcement applications.
This system integrates advanced methodologies, including the Haar Cascade algorithm, to enhance the
identification and surveillance of suspects in diverse environments. By leveraging an online platform, law
enforcement agencies can monitor and identify individuals in real time, improving response times and
operational efficiency.
Performance evaluations reveal that the system achieves a high true positive rate of 92% and a false positive
rate of 5%, ensuring reliable identification and reducing the risk of misidentification. The platform's
additional features, such as user management, image filtering, and robust database maintenance, enhance its
practicality and adaptability to real-world scenarios. Its ability to process live feeds from connected cameras
and cross-reference them with a centralized criminal database demonstrates its efficiency and utility in
modern policing.
This research not only advances the current state of real-time image processing and facial recognition but
also provides a practical tool for combating crime. By laying the groundwork for future improvements,
including the integration of advanced machine learning algorithms and an expanded facial database, the
system shows potential for shaping the future of public safety and security. The findings contribute to the
broader discourse on leveraging technology to enhance law enforcement capabilities while addressing the
challenges of accuracy, scalability, and ethical deployment
Key Words:-Automated Criminal Identification System, real-time image processing, facial recognition technology, Haar Cascade algorithm, law enforcement applications, criminal database, surveillance systems, operational efficiency,
Area:-Engineering
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