CLASSIFIED OPERATION: REAL-TIME CRIMINAL IDENTIFICATION & SURVEILLANCE
STATUS: DEPLOYED | AUTHOR: MR. CIPHER-X [C|THE]
This repository contains the architecture for CrimeNet, an AI-driven criminal identification and surveillance system designed for law enforcement. Leveraging Convolutional Neural Networks (CNN) and YOLOv8, the system ingests live CCTV feeds, detects facial features in real-time, and cross-references them against a high-security criminal database to trigger automated tactical alerts.
graph TD;
A[Live Surveillance Feed / CCTV] -->|Frame Extraction| B(Pre-Processing Unit);
B -->|Grayscale & Noise Filtering| C[YOLOv8 Face Detection];
C -->|Bounding Box Isolation| D{Feature Extraction - LBP};
D -->|Facial Landmarks| E[CrimeNet CNN Classifier];
E --> F{Database Correlation};
F -->|Match Found| G[Trigger Automated Alert];
F -->|No Match| H[Log & Discard];
G --> I[SMS/Email to Law Enforcement];
G --> J[Update SOC Dashboard];
style A fill:#1a1a1a,stroke:#00FFFF,stroke-width:2px;
style G fill:#1a1a1a,stroke:#8A2BE2,stroke-width:2px;
| Operational Vector | Detection / Processing Technique | System Action / Tactical Response |
|---|---|---|
| Real-Time Subject Tracking | YOLOv8 Object Detection | Isolates human faces from crowded live feeds. |
| Facial Feature Extraction | Local Binary Patterns (LBP) & CNN | Extracts deep facial landmarks and matches against the MySQL DB. |
| High-Value Target Alert | Real-Time Notification Trigger | Dispatches SMS/Email to assigned officers with suspect location. |
| Forensic Pre-Processing | Morphological Transformations | Enhances low-light/blurry footage before feeding to the neural net. |
(Note: Live surveillance data and PII are strictly confidential. The following displays system interfaces and neural network preprocessing outputs.)
[ OPERATION TERMINATED - SURVEILLANCE ACTIVE ]