AI Based Crime Detection and Face Recognition System for Human Trafficking Investigation

Project Description & Abstract

Description: An AI-powered surveillance and crime detection system that uses face recognition, deep learning, and computer vision to identify and track individuals in live surveillance footage. The system analyzes facial features to assist with person identification, monitoring, and investigation of suspected criminal activities. It can support authorized law-enforcement applications such as video surveillance, person tracking, and biometric identification. The system first detects faces in video frames and performs facial alignment and feature extraction using computer vision and deep learning techniques such as Convolutional Neural Networks (CNNs). Extracted facial features are then compared with registered facial profiles to support person identification and verification. The system can continuously monitor surveillance footage, track identified individuals across frames, and maintain relevant records for further investigation. The proposed solution can be integrated with video surveillance systems and biometric security applications to provide faster identification and investigation support. It can also collect structured information from detected events, allowing authorized personnel to review and analyze movement patterns and potential incidents. The project combines face detection, face recognition, deep learning, image processing, video surveillance, and person tracking to create a real-time intelligent monitoring solution. Its potential applications include crime investigation, missing-person identification, human trafficking investigation support, access control, and security monitoring. The system's effectiveness depends on factors such as image quality, lighting conditions, camera angle, facial occlusion, and the size and diversity of the training dataset. Larger and more representative datasets, improved face alignment, and robust recognition models can help improve accuracy and reliability in real-world surveillance environments. Project name: Ai crime detection face recognition human trafficking Tags: Face Recognition, Crime Detection, Human Trafficking Detection, Computer Vision, Deep Learning, CNN, Facial Recognition, Person Tracking, Video Surveillance, AI Surveillance, Biometric Identification, Image Processing, Crime Investigation, Python