Paper Contents
Abstract
Criminal identification and detection remain critical challenges for law enforcement agencies worldwide.This paper presents an intelligent web-based criminal detection system utilizing advanced facial recognitiontechnology. The proposed system employs computer vision and machine learning algorithms toautomatically identify and match individuals against a pre-stored criminal database. Built on the Flaskframework, the system offers dual operational modes: image upload and real-time camera capture. Usingface encoding and similarity measurement techniques, the system achieves accurate identification of knowncriminals. The implementation utilizes OpenCV and face_recognition libraries for facial feature extractionand comparison. Results demonstrate the system's effectiveness in automating criminal identificationprocesses, reducing manual effort, and enhancing security measures. The user-friendly web interfaceenables both criminal registration and detection functionalities, making it accessible for law enforcementpersonnel with minimal technical expertise.
Copyright
Copyright © 2025 Ashish Rawan Shirsath. This is an open access article distributed under the Creative Commons Attribution License.
