# MMT Live - Real-Time Media Monitoring Tool

# Overview

MMT Live is a real-time version of the Media Monitoring Tool that can detect video fragments in live streams or during live playback. It's designed for monitoring broadcasts in real-time, detecting advertisements as they air, and triggering immediate actions when specific content is detected.

# Key Features

  • Real-Time Detection: Identify fragments as video plays
  • Live Stream Support: Monitor RTSP, HTTP, and file streams
  • Instant Notifications: Immediate alerts when content detected
  • Continuous Monitoring: 24/7 operation capability
  • Ad Detection: Real-time commercial identification
  • Low Latency: Near-instantaneous detection
  • Live Preview: Monitor stream while processing

# Differences from Standard MMT

Feature MMT MMT Live
Processing Post-recording Real-time
Input Files only Files + Streams
Detection Batch Continuous
Results After completion Immediate
Use Case Analysis Monitoring

# User Interface

# Main Components

  1. Live Media Player: Shows current stream/playback
  2. Fragment Library: Pre-loaded detection targets
  3. Detection Log: Real-time detection events
  4. Status Indicators: Stream health and processing state
  5. Settings Panel: Live adjustment of parameters

# How to Use

# Setup Workflow

  1. Prepare Fragment Library:

    • Load commercials/clips to detect
    • Generate fingerprints in advance
    • Organize by priority/category

  2. Configure Input Source:

    • File: Select video for monitoring
    • Stream: Enter RTSP/HTTP URL
    • Device: Select capture device

  3. Set Detection Parameters:

    • Sensitivity threshold
    • Minimum match duration
    • Alert preferences

  4. Start Monitoring:

    • Click "Start" to begin
    • Video plays while analyzing
    • Detections appear immediately

# Real-Time Operation

  • Continuous Processing: Analyzes video as it plays
  • Rolling Buffer: Maintains recent video history
  • Instant Matching: Compares against fragment library
  • Event Logging: Records all detections with timestamps

# Use Cases

# 1. Broadcast Compliance

  • Ensure ads play as scheduled
  • Verify content restrictions
  • Monitor competitor advertising
  • Track program segments

# 2. Live Stream Monitoring

  • Detect copyrighted content
  • Monitor multiple channels
  • Track brand appearances
  • Quality assurance

# 3. Automated Actions

  • Trigger recording on detection
  • Send notifications/alerts
  • Switch streams automatically
  • Generate real-time reports

# 4. Advertisement Tracking

  • Count commercial airings
  • Verify ad placement
  • Monitor ad frequency
  • Competitive analysis

# Configuration

# Input Sources

File Playback:

  • Simulates live monitoring
  • Useful for testing
  • Supports all video formats

RTSP Streams:

rtsp://camera.example.com:554/stream
rtsp://username:password@server/path

HTTP Streams:

http://server.com/stream.m3u8
http://server.com/live.mjpeg

# Detection Settings

  • Buffer Size: Video history (5-60 seconds)
  • Check Interval: How often to analyze (1-5 seconds)
  • Confidence Threshold: Match quality (70-95%)
  • Fragment Priority: Which fragments to check first

# Performance Optimization

# System Requirements

  • CPU: Multi-core recommended
  • RAM: 8-16GB for smooth operation
  • Network: Stable connection for streams
  • Storage: Fast SSD for fragment library

# Optimization Tips

  1. Fragment Library:

    • Keep under 100 active fragments
    • Pre-generate all fingerprints
    • Remove unused fragments

  2. Stream Quality:

    • Use consistent bitrate
    • Avoid very high resolutions
    • Ensure stable connection

  3. Processing:

    • Adjust check interval based on CPU
    • Use appropriate buffer size
    • Enable GPU acceleration if available

# Advanced Features

# Multi-Stream Monitoring

  • Monitor multiple streams simultaneously
  • Separate detection threads per stream
  • Consolidated reporting
  • Resource management

# Custom Actions

Configure actions for detections:

  • Email notifications
  • HTTP webhooks
  • File logging
  • Database recording
  • Stream recording triggers

# Detection Zones

  • Define time windows for detection
  • Schedule different fragment sets
  • Ignore certain time periods
  • Priority scheduling

# Troubleshooting

# No Detections

  • Verify fragments are loaded
  • Check stream is playing
  • Confirm fingerprints generated
  • Adjust sensitivity lower

# High CPU Usage

  • Reduce check frequency
  • Lower stream resolution
  • Decrease buffer size
  • Limit active fragments

# Stream Issues

  • Check network connectivity
  • Verify stream URL
  • Test in media player first
  • Monitor bandwidth usage

# Delayed Detections

  • Increase processing priority
  • Reduce buffer size
  • Check system resources
  • Optimize fragment count

# Best Practices

# Preparation

  1. Test fragments in standard MMT first
  2. Optimize fragment quality and length
  3. Build comprehensive fragment library
  4. Document expected detections

# Operation

  1. Monitor system resources
  2. Regular fragment library updates
  3. Periodic detection accuracy checks
  4. Maintain detection logs

# Maintenance

  1. Clean old detection logs
  2. Update fragment fingerprints
  3. Review false positives/negatives
  4. Optimize based on results

# Integration Options

# API Integration

  • REST API for detection events
  • WebSocket for real-time updates
  • Database logging options
  • Third-party integrations

# Automation

  • Scheduled monitoring
  • Automatic report generation
  • Alert escalation
  • Stream switching

# Comparison with Alternatives

vs Standard MMT:

  • Real-time vs post-processing
  • Continuous vs batch operation
  • Immediate vs delayed results

vs Manual Monitoring:

  • Automated vs human observation
  • 24/7 vs limited hours
  • Consistent vs variable accuracy

# Related Tools

  • MMT: Post-recording analysis version
  • vfp_search: Command-line fragment search
  • DVS: Duplicate video detection