Advanced: Auto-Mode & Go-Live Optimization guide illustration
⏱️ 2 min read

Advanced: Auto-Mode & Go-Live Optimization

Table of Contents

The Auto-Record feature is the heart of a high-uptime capture setup. However, running detection for hundreds of performers at once requires fine-tuning to avoid triggering rate limits or wasting bandwidth on streams you don’t actually want.

1) Balancing Check Intervals

Cam Software periodically polls cam sites to see if your tracked performers are live.

  • The Tradeoff: A short interval (e.g., 30 seconds) catches every second of a stream but increases CPU usage and network noise. A long interval (e.g., 5 minutes) is “stealthier” but you might miss the first few minutes of a surprise session.
  • Recommended: Start with a 60-90 second interval. This is the “sweet spot” for most home connections.

2) Optimizing Retry Logic

Unstable streams (especially those broadcast from mobile devices) may flicker between “Online” and “Offline.”

  • Retry on Disconnect: Set this to a low value (e.g., 5-10 seconds) so that Cam Software immediately attempts to resume if a packet is dropped.
  • Max Retries: If a stream is genuinely dead, you don’t want the app retrying forever. Set a sane cap based on your preference for completeness vs. resource management.

3) Using Auto-Record Filters

Don’t record everything. Use filters to ensure only “Premium” content hits your disk.

  • Resolution Filtering: Configure Auto-Mode to ignore any stream detected below 720p.
  • Status Filtering: Skip performers who are in “Away,” “Private,” or “Club” modes if you only want standard public broadcasts.
  • Tag Filtering: Some sites provide stream tags (e.g., “VR,” “HD”). Use these to prioritize specific content types.

4) Power Management & Persistence

Auto-Mode only works if the recorderd process is active and unthrottled.

  • Stay Awake: Ensure your machine is set to High Performance and “Sleep” is disabled during your primary capture windows.
  • Background Tasks: If your OS applies “Efficiency Mode” to background apps, Auto-Mode detection might lag. Verify the process is excluded from power-saving in your OS settings.

Summary

By combining targeted Check Intervals with strict Auto-Record Filters, you can manage a massive library with minimal manual oversight.

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