Eliminar README
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# PJM/IA – Police Interview Emotion Analysis System
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## Overview
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PJM/IA is an intelligent support platform designed to assist criminal investigators during interviews and interrogations through multimodal emotion analysis.
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The system combines multiple Artificial Intelligence approaches to analyze emotional behavior from:
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- Facial expressions (FER – Facial Emotion Recognition)
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- Voice tone (SER – Speech Emotion Recognition)
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- Natural language sentiment analysis
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In addition to emotion analysis, the platform automates the administrative workflow associated with interviews by generating official reports automatically and producing annotated multimedia evidence.
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---
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## Main Features
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### Emotion Recognition
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- Facial Emotion Recognition (FER)
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- Speech Emotion Recognition (SER)
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- Sentiment Analysis using NLP
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### Automatic Documentation
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- Automatic generation of:
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- Complaint Reports
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- Witness Examination Reports
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- Defendant Interrogation Reports
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- Automatic PDF report generation
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- Automatic transcription of interview audio into text
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### Multimedia Processing
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- Video analysis
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- Audio analysis
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- Live camera streaming analysis
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### Evidence Generation
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- Annotated interview videos
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- Emotion timeline tracking every 10 seconds
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- Structured interview archive system
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---
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# System Architecture
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The application is divided into modular components:
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| Module | Description |
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|---|---|
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| FER | Facial expression emotion recognition |
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| SER | Voice emotion analysis |
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| NLP | Sentiment analysis from speech transcription |
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| Document Engine | Automatic report generation |
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| Streaming Engine | Real-time camera processing |
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---
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# Supported Inputs
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## Video Formats
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- `.mp4`
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- `.avi`
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- `.mov`
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## Audio Formats
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- `.mp3`
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- `.wav`
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- `.ogg`
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---
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# Technical Requirements
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| Component | Minimum | Recommended |
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|---|---|---|
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| RAM | 8GB | 16GB |
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| Operating System | Windows XP | Windows 10+ |
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| Camera | USB Camera | USB Camera |
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| Microphone | USB Microphone | USB Microphone |
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| Storage | 5GB | SSD Recommended |
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---
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# Installation
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## Windows Installation
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Run:
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```bash
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PJM_IA_Installer.exe
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```
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Follow the installation wizard until completion.
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The installer will:
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- Install the application
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- Create the required directories
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- Generate a desktop shortcut
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---
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# Authentication
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Default credentials for testing purposes:
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```txt
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Username: kl3z
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Password: 12345
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```
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---
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# Usage
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## 1. Load Subject Information
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The investigator must first load:
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- Citizen Card (CC)
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or
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- Military Registration Sheet (FM)
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This information is mandatory.
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---
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## 2. Configure Interview Metadata
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Optional metadata:
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- Interviewer
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- Date
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- Time
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- Location
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- City
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---
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## 3. Choose Analysis Mode
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### Video Analysis
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Processes prerecorded interrogation videos.
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### Audio Analysis
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Processes audio recordings.
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### Live Streaming
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Processes live camera input in real-time.
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Press:
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```txt
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Q
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```
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to stop recording.
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---
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# Generated Output
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After processing, the system generates:
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- Official PJM Word reports
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- PDF summary report
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- Full interview transcription
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- Emotion analysis reports
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- Annotated video files
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All files are stored automatically in:
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```txt
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/Corpus/<CC>_<DATE>_<TIME>/
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```
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Example:
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```txt
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12345678_2026-05-20_15-30-00
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```
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---
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# Interview Analysis
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The system performs emotion tracking every 10 seconds and correlates:
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- Facial expressions
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- Vocal tone
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- Speech sentiment
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This allows investigators to identify emotional variations throughout the interview.
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---
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# Technologies Used
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- Python
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- OpenCV
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- NLP
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- Speech Recognition
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- Machine Learning
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- Facial Recognition
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- Emotion Classification
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- Audio Signal Processing
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---
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# Research Context
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This project was developed as an AI-assisted criminal investigation support tool focused on:
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- Interview enhancement
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- Behavioral analysis
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- Automated documentation
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- Multimodal emotion recognition
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---
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# Disclaimer
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This project is intended for research and investigative support purposes only.
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Emotion recognition systems should not be considered definitive indicators of deception or guilt.
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Human supervision and professional investigative procedures remain essential.
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---
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# Future Improvements
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- GPU acceleration
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- Real-time dashboard
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- Advanced speaker diarization
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- Multi-camera support
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- AI-assisted interrogation insights
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- Deepfake detection integration
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---
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# License
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Private / Research Project
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---
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