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Dmood176Final

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Key takeaways

Technology

Project Overview (Source: Dualmood)

Dualmood builds a security camera using a Raspberry Pi, primarily to save money and minimize power consumption and wiring.

Cost & Hardware Advantages

  • Spent < $50 on materials.
  • Compared to commercial security cameras costing ~$200–$400 per camera.
  • Minimal wiring:
    • Powers the camera via USB-C (cheap and convenient).
  • Low power usage:
    • About ~3.5 W average, compared to ~20 W+ for many professional cameras.

Networking Setup & Remote Access (Major Technical Effort)

  • Uses IPv4 forwarding and also experimented with some IPv6.
    • The IPv4/IPv6 approach became problematic.
  • Steps taken:
    • Created a new subnet.
    • Set up a VPN to tunnel traffic between a personal computer and the Raspberry Pi for remote access.
  • Issues encountered:
    • DNS issues during VPN setup.
  • VPN/tooling choices:
    • Tried Twingate first (previously reliable), but encountered a critical problem:
      • When active on both devices, there was no internet access.
    • Switched to Tailscale, which worked smoothly:
      • Resolved earlier VPN/DNS problems and improved connectivity.
  • Additional friction:
    • Connecting from the Pi to the file server required re-authentication each time (the Pi has no screen).
    • Adjusted workflow to resolve this, aided by the shift to Tailscale.

Lesson learned: networking and remote access issues can be time-consuming and are often unavoidable.

Camera Software, Installation & Configuration

  • Followed GitHub instructions and installed MotionEye.
  • Configured:
    • Camera definition
    • Resolution and FPS
    • Video exposure/brighting behavior
      • Auto brightness did not work well, so exposure/brightness were adjusted manually
    • Local file save location
    • File server target for uploads (described as relatively straightforward)

File Storage & Backups (Data Management)

  • After recording, videos must be stored on a drive:
    • Determined where recordings are stored
    • Moved copies to a cloud server
    • Configured a RAID partition on the server for large and growing storage needs (video grows quickly)

SFTP Plugin Issue & Custom Backup Script

  • The built-in SFTP plugin in the camera system did not work.
  • Instead, a custom backup script was written to copy locally stored video files to the cloud server.
  • The script was scheduled using Linux cron to run nightly.

Scripting & Automation

  • Created a custom script to perform backups because the SFTP plugin failed.
  • Added it to crontab for regular (nightly) execution.

I/O and Motion Detection Behavior

  • Motion detection requires processing the input stream to detect movement.
  • Used motion detection masking:
    • Example: masked out a sidewalk area to prevent unwanted triggers.
  • Video playback/UI supports:
    • Live streaming
    • Viewing past pictures/videos
    • Sorting by date

Admin vs. User Configuration (UI Observations)

  • Primary user:
    • Limited settings (e.g., number of streams visible)
  • Admin user:
    • Full settings access, including:
      • Brightness adjustment
      • Resolution
      • Rotate
      • FPS
      • File storage details
      • Disk usage

Troubleshooting Lessons Learned

  • VPN/network connectivity can take much longer than expected; networking issues are inevitable.
  • Changing VPN/device configurations can lead to getting locked out of the Pi.
  • Vendor integrations can be too rigid:
    • Twingate wasn’t designed for non-user-facing devices, contributing to the switch.
    • MotionEye/provided plugins were tightly integrated and lacked flexibility.
  • Recommendation for future work:
    • Consider writing more components from scratch if it better matches requirements.
  • Always plan for storage growth, since video accumulates rapidly.

Main Speaker / Source

Dualmood (presenter/author)

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