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QA 401: IoT Acoustic & Visual Monitoring

Access the full course

Full course content (video lessons, exercises, downloadable files, and QR references) is part of Pro.

The preview above gives you the full course structure, learning outcomes, prerequisites, and what you will be able to do after completion. Free for everyone.

  • ✓Video lessons with real 3D printing setups
  • ✓Calibration parameters
  • ✓Downloadable STL examples + gcode profiles
  • ✓AI tutor for questions
  • ✓Completion certificate
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One machine can be watched with the naked eye. Ten cannot. This course covers technologies and workflows for centralized print farm monitoring with a focus on measurable outcomes.

What you will learn

  • Architecture of a multi-printer monitoring system
  • OctoPrint, Klipper, Moonraker and their APIs
  • Centralized dashboards with Grafana and InfluxDB
  • Camera streams – RTSP, MJPEG, WebRTC and scalability
  • Alert rules – Telegram, email and push notifications
  • Quality control – storing historical metrics
  • Print farm KPIs – OEE, MTBF, scrap rate

Course outline

  • Lesson 1: What we measure and why
  • Lesson 2: The OctoPrint and Klipper plugin ecosystems
  • Lesson 3: Time-series databases – InfluxDB and QuestDB
  • Lesson 4: Grafana dashboards for print farms
  • Lesson 5: Cameras and video streaming at scale
  • Lesson 6: Alert rules and messenger integrations
  • Lesson 7: KPIs and Overall Equipment Effectiveness
  • Lesson 8: Final project – a full monitoring stack

Prerequisites

A completed course-iot201-arduino-esp32 or equivalent experience with server software and networking. Basic Linux command-line skills.

Outcome

You build a centralized monitoring platform for a printer farm, define KPIs and make data-driven decisions to optimize production.

Who it is for

Technology directors of print farms, DevOps engineers taking over AM operations, and owners of mid-sized to large service bureaus.