Crime Detection using AI

Overview

Created a real-time computer vision system to detect and classify criminal activities from images and videos,

aimed at supporting forensic investigations.

Challenges Addressed: Rapid analysis of video footage, accurate crime classification, and providing actionable

results for law enforcement or security teams.

Features & Solutions:

Real-Time Detection: System analyzes live or uploaded footage and highlights potential criminal activity.

Classification & Reporting: Classifies detected incidents and presents results through a Tkinter GUI, making

it easy for non-technical users.

User-Friendly Interface: Tkinter-based GUI enables simple interaction for uploading files or streaming live

video.

Technologies: Python, TensorFlow, MobileNetV2, OpenCV, Tkinter GUI.